Thanks for visiting my profile, congratulations on your decision to learn something new. :) I am Arshad Ahmad, a continuous learner, currently working as a Lead Data Scientist in Majid Al Futtaim. I have worked in Accenture, Dell, and HP delivering impactful analytics projects. Also interested in various topics such as data, entrepreneurship, mentoring, technology, and Business. :) In order to deliver real product value in today’s dynamic world and fast-changing user experience, my focus in the last years is in-depth product discovery, tailored user research, and data-driven product management. Furthermore, my teaching "activities" started long ago during my studies, where I was a mentor for 4 years at Learning & Development Center, Accenture. Lastly, I love helping other people learn and improve their career opportunities, I love sharing knowledge and experiences. Especially, I love to encourage and motivate people who are switching from another industry to Data Science, because I know how hard the path is. :) I provide mentorship for individuals who want to shift into data science. Accessing the candidate profile, guidance with roadmap, profile building, and job help Let's talk and learn together! http://decodingdatascience.com/
My Mentoring Topics
- Data Science
- Business Analytics
- SQL
- Python/R
- Statistics
- Algorithms
- Visualization Tools
- Business Intelligence
- Artificial Intelligence
- Data Science Career Change
A.
5.July 2022Session with Muhammad was helpful. He was to the point and precise in pointing out key areas. Will be happy to have more such sessions in future.
A.
27.June 2022Yes the session was extremely helpful. Many of my confusions got cleared. I have a clear view now on how to fo about my job search. Thankyou for your time.
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31.May 2022Yes, great advice and help on resources too - really appreciate it!
O.
20.May 2022the session was very helpful, he is a great mentor
F.
12.April 2022The session was very informative, interactive and more clear. You are a perfect mentor and I appreciate your time.
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11.April 2022Yes, A lot.
F.
8.March 2022Yes definitely. It was very clear and in simple words which helped me in understanding. Maybe more about introducing each other to understand what exactly is needed out from the session could be done at first. But overall it was good experience and i would definitely be recommending in my circle.
D.
1.March 2022The mentor went through my profile and gave me actionable items to perform to improve my skillsets
a.
24.February 2022Overall it was a session that helped me gain perspective. Arshad was brutally honest and talked to me as a real Mentor. Looking forward in future to having a more fruitful conversation with him.
S.
24.February 2022Session was really helpful. Thanks Arshad for your time. I really appreciate it. I will work on your suggestions and looking forward for future sessions as well
S.
23.February 2022Thanks Arshad for Mentorship. Suggestions were great. I am looking forward to work on the those suggestions.
S.
8.February 2022It was helpful, thanks. Any information for someone with experience is helpful for me.
S.
7.February 2022It was helpful, thanks. Any information for someone with experience is helpful for me.
S.
7.February 2022It was helpful, thanks. Any information for someone with experience is helpful for me.
P.
6.February 2022The feedback which I got from Arshad has cleared my doubts and given me a direction.
A.
4.February 2022Ya the session was helpful and sir guided me and told my loop holes so that I can do better in my career.
S.
23.January 2022I have been very pleased with the way the mentoring went and I feel that I benefited greatly from Mr. Arshad's session.
M.
11.January 2022Yes, I felt that I got a good overview of how to go through in the career and how to seek opportunities and understand the necessary skills like SQL. Very helpful and extremely supportive mentor gave me great advice
M.
9.January 2022K.
9.January 2022Sir, you are straight forward. Got good guidance and valuable advice to do futher degree.
S.
9.January 2022I was searching for mentor in Data Science field and I found Mr.Arshad. He is a fantastic professional and highly skilled. Under his guidance, I have learned valuable lessons for entering this field. He is the best person any new mentee can ask.
W.
5.January 2022Mr. Mohammad has great skills in Data science. He motivates me to learn data engineering skills like SQL and dashboard. It was a pleasure to be mentored by him.
W.
4.January 2022Mr. Mohammad has great skills in Data science. He motivates me to learn data engineering skills like SQL and dashboard. It was a pleasure to be mentored by him.
M.
18.December 2021Yes definitely it helped me to get clarity. Before the mentoring session I was really confused about where I should be focussing. Arshad sir suggested me a good starting point and planned road map also.
Atomic Habits - An Easy & Proven Way to Build Good Habits & Break Bad Ones
James Clear
Key Facts and Insights: Understanding the impact of compound effects of tiny habits. Identifying the Four Laws of Behavior Change as a simple set of rules for habit formation. Recognizing the role of Identity-based habits in personal change. Appreciating the importance of the habit environment and how to design it for success. Applying the concept of habit stacking to create a series of desired behaviors. Understanding the significance of immediate rewards in reinforcing habits. Recognizing the power of a habit tracker as a form of visual measurement. Learning the power of improvement by 1% to achieve remarkable results over time. Understanding the importance of making habits obvious, attractive, easy, and satisfying. Recognizing the role of mindset in fostering long-lasting habits. Appreciating the concept of never missing twice as a strategy for maintaining habits. An In-depth Analysis and Summary In "Atomic Habits," James Clear provides an innovative framework for habit formation and personal growth. He introduces the idea of the compound effect of tiny habits, suggesting that minor changes and decisions can lead to significant outcomes over time. This reinforces the principle that success doesn't result from massive actions but from small, consistent steps taken daily. Clear explains the Four Laws of Behavior Change which are: make it obvious, make it attractive, make it easy, and make it satisfying. These principles offer a practical and straightforward approach to forming good habits and breaking bad ones. They are based on the understanding that our habits are the response to our environment and the cues it provides. The author emphasizes the importance of Identity-based habits. Instead of focusing on goals, Clear suggests that we should concentrate on becoming the type of person who can achieve those goals. This is a profound shift from the outcome-based approach to an identity-based approach, which is more durable and long-lasting. The book further explores the role of our environment in shaping our behaviors. Clear suggests that by designing our habit environment, we can make the desired behaviors easier and the undesired ones harder, thus facilitating positive habit formation. Habit stacking is another powerful tool that Clear introduces. It involves pairing a new habit with an existing one, thereby using the existing habit as a cue for the new one. This technique takes advantage of the neural connections that our brain forms when we establish a routine. Clear also explains the importance of immediate rewards in forming new habits. Our brains are wired to prioritize immediate gratification, so pairing a habit with an immediate reward can reinforce the behavior. Habit tracking is another effective strategy that Clear proposes. It serves as a visual reminder of your progress, providing a satisfying sense of achievement that motivates you to maintain the behavior. The concept of improvement by 1% is a recurring theme in the book. Clear argues that if you get 1% better each day, the benefits will compound over time, leading to remarkable results. This underlines the importance of making small, consistent improvements instead of seeking overnight success. Clear's concept of never missing twice is a practical strategy for maintaining habits. It recognizes that while we may occasionally slip up, it's crucial not to let a one-time mistake turn into a recurring pattern. Finally, Clear underscores the importance of mindset in fostering long-lasting habits. He stresses that habits are not a finish line to be crossed but a lifestyle to be lived, emphasizing the significance of process over outcome. "Atomic Habits" synthesizes complex psychological concepts into practical, actionable strategies. Clear's approach is backed by scientific evidence, making it an invaluable resource for anyone looking to understand and improve their habits. The concepts discussed in the book align with many established theories in behavior psychology, neuroscience, and cognitive science, further validating their effectiveness and applicability. By understanding and applying the insights from "Atomic Habits," individuals can navigate the path of personal growth with greater clarity and confidence. It equips readers with the knowledge and tools to transform their habits and, ultimately, their lives.
ViewHands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow - Concepts, Tools, and Techniques to Build Intelligent Systems
Aurélien Géron
Key Insights from the Book: Practical introduction to Machine Learning: The book provides a hands-on approach to learning machine learning, emphasizing practical implementation over theoretical understanding. Focus on Scikit-Learn, Keras, and TensorFlow: These three libraries are some of the most popular tools in the field of machine learning and deep learning. The book provides detailed instruction on how to use them effectively. End-to-end Machine Learning Project: The book walks the reader through a complete machine learning project, from gathering the data to training the model and evaluating its performance. Deep Learning Techniques: The book covers a variety of deep learning techniques, including convolutional neural networks, recurrent neural networks, and long short-term memory (LSTM) networks. Understanding of Neural Networks: The book aids in developing a solid understanding of neural networks and how they function. Model Evaluation and Fine-Tuning: The book goes into detail about how to evaluate a model’s performance, and how to fine-tune it to improve its accuracy. Feature Engineering: The book covers feature engineering in depth, which involves preparing the input data to make the machine learning algorithms more effective. Deployment of Machine Learning Models: The book provides guidance on how to deploy machine learning models into a production environment. Insight into the Future of AI and Machine Learning: The book discusses the future prospects and trends in AI and machine learning. Exploration of Reinforcement Learning: The book introduces the readers to reinforcement learning, a type of machine learning where an agent learns to behave in an environment, by performing certain actions and observing the results. Detailed Analysis and Summary: "Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow" by Aurélien Géron is an invaluable resource for anyone seeking to delve into the world of machine learning. The book provides an in-depth exploration of machine learning, deep learning, and the tools required to build intelligent systems. Unlike many other books on the subject, it emphasizes practical implementation over theoretical understanding, making it particularly suitable for those who learn best by doing. The book places a strong focus on Scikit-Learn, Keras, and TensorFlow, some of the most popular libraries in the field of machine learning and deep learning. With the help of these libraries, users can implement powerful machine and deep learning models with relative ease. The book provides comprehensive guidance on how to use these tools effectively, including the implementation of various machine learning algorithms. One of the book's most salient features is the walkthrough of an end-to-end machine learning project. From gathering and preparing the data to training the model, evaluating its performance, and fine-tuning it to improve its accuracy, readers gain practical experience in machine learning. This hands-on approach is an effective way to learn and comprehend the various stages involved in a machine learning project. Deep learning techniques form a major part of the book. It covers a variety of these techniques, including convolutional neural networks, recurrent neural networks, and long short-term memory (LSTM) networks. These techniques are essential for tasks such as image and speech recognition, and natural language processing. The book offers a solid understanding of neural networks, the backbone of many modern machine learning algorithms. It explains how these networks function and how to train them, providing readers with the knowledge they need to build their own neural networks. The book also delves into model evaluation and fine-tuning, two crucial aspects of machine learning. It explains how to evaluate a model’s performance using various metrics and how to improve its accuracy through fine-tuning. This knowledge is crucial for developing effective machine learning models. Feature engineering, another important aspect of machine learning, is covered in depth. This process involves preparing the input data to make the machine learning algorithms more effective. The book provides practical guidance on how to perform feature engineering effectively. The book also provides guidance on how to deploy machine learning models into a production environment. This involves converting the trained model into a form that can be used in real-world applications, a crucial step in the machine learning pipeline. The book concludes with a discussion on the future prospects and trends in AI and machine learning, providing readers with an insight into the direction the field is likely to take in the coming years. Lastly, the book introduces the readers to reinforcement learning, a type of machine learning where an agent learns to behave in an environment by performing certain actions and observing the results. This is a rapidly growing area in machine learning, with applications in areas such as robotics and game playing. In conclusion, "Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow" is a comprehensive guide that provides practical and actionable knowledge on various aspects of machine learning. Whether you are a beginner looking to enter the field or a seasoned professional seeking to update your knowledge, this book is a valuable resource that will help you understand and implement machine learning effectively.
ViewThe Subtle Art of Not Giving a F*ck - A Counterintuitive Approach to Living a Good Life
Mark Manson
Key Insights from "The Subtle Art of Not Giving a F*ck" Embrace the Struggle: Struggle is an inevitable part of life, and the key to success is not avoiding struggle but rather selecting the struggles that are worth the effort. Values: It’s crucial to choose good values to measure success, such as honesty, innovation, vulnerability, etc., rather than unhealthy ones like material success. Finding Happiness: Happiness is not about always being positive, but rather about being comfortable with negative experiences and emotions. Responsibility: We should take responsibility for our life and actions, irrespective of whether we are at fault or not. Acceptance: Accepting the reality of our mortality can help us live a more meaningful life. Freedom: Freedom is not about having no limitations, but rather about choosing our limitations. Rejection of Entitlement: We are not entitled to a perfect life and accepting this can lead to personal growth. Failure: Failure is a part of growth. We learn from our failures, not from our successes. Uncertainty: It’s important to accept that we don’t know everything and uncertainty is a part of life. Commitment: Commitment to our values and passions is the pathway to satisfaction. An In-Depth Analysis of "The Subtle Art of Not Giving a F*ck" "The Subtle Art of Not Giving a F*ck" by Mark Manson is a profoundly counterintuitive self-help guide that challenges conventional wisdom about happiness and success. The book provides a refreshing perspective on personal development, focusing on embracing negatives in life and understanding that struggle is a critical part of growth. The first key insight from the book is about embracing the struggle. Manson asserts that problems are a constant in life. Life is essentially an endless series of problems and the key to happiness is solving these problems. The idea is not to avoid problems or struggle, but to find the problems worth struggling for, the ones that align with our personal values. This leads us to the second insight on values. Manson suggests that we often choose inappropriate values to measure our success. Our society tends to encourage values like wealth, fame, and beauty, but these are outside of our control and thus lead to dissatisfaction. Instead, we should choose values that are within our control, like honesty, innovation, standing up for oneself, vulnerability, etc. The third insight is about finding happiness. Manson challenges the widely accepted notion that a happy life is a life full of constant positivity. Instead, he suggests that happiness comes from the ability to manage and be comfortable with the negative experiences that inevitably occur in our lives. The fourth insight revolves around the concept of responsibility. According to Manson, we need to take responsibility for our life and actions, even when we are not at fault. By doing so, we empower ourselves to change our circumstances and our responses to them. The fifth insight, acceptance, is one of the most profound and challenging. Manson asks us to accept the reality of our mortality. This can be a deeply unsettling thought, but according to Manson, it can also spur us to live in the present and lead a more meaningful life. In the sixth insight, Manson redefines freedom. He argues that real freedom is about self-imposed limitations, not an absence of limitations. It's about choosing what we want to give a f*ck about. Manson also rejects the notion of entitlement in the seventh insight. He argues that believing we are entitled to a good life just because we exist is a destructive idea. Instead, we should strive for growth and improvement. In the eighth insight, Manson highlights the importance of failure. He argues that we learn more from our failures than our successes, and that failure is an integral part of growth and improvement. The ninth insight is about uncertainty. Manson emphasizes that we should accept that we don’t know everything. This acceptance of uncertainty allows us to be more open to new experiences and ideas. Finally, the tenth insight is about commitment. Manson notes that satisfaction comes from commitment to our values and passions, not from avoiding discomfort or seeking pleasure. In conclusion, "The Subtle Art of Not Giving a F*ck" by Mark Manson provides an unconventional yet insightful approach to living a good life. It challenges us to embrace struggle, choose meaningful values, accept our mortality, and take responsibility for our lives. While it may be uncomfortable to confront these ideas, doing so can lead to a more fulfilling and satisfying life.
ViewThe Power of Your Subconscious Mind
Joseph Murphy
Key Facts and Insights from "The Power of Your Subconscious Mind" The subconscious mind is tremendously powerful and can significantly influence our lives. Our subconscious mind operates on habit patterns and does not reason things out like our conscious mind. We can program our subconscious mind using affirmations and visualizations. The subconscious mind is influenced by our beliefs and expectations. Self-love, positive self-talk, and self-forgiveness can positively affect our subconscious mind. The subconscious mind can help us heal, solve problems, and achieve our goals. The subconscious mind can be harnessed to bring about success, prosperity, and happiness in our lives. The power of our subconscious mind surpasses any physical power we possess. Our subconscious mind is always active, even when we sleep. The subconscious mind does not distinguish between real and imagined experiences. Detailed Analysis of the Book "The Power of Your Subconscious Mind" by Joseph Murphy is a seminal work that underscores the potent influence of the subconscious mind on our lives. It is a rich, insightful, and profound book that explores the mysteries of the human mind. The subconscious mind is more powerful than we give it credit for. It is responsible for all the automatic functions of our body, our emotions, creativity, intuition, and the storehouse of all our memories. Murphy posits that the subconscious mind can significantly influence our lives, and we can leverage this power for our benefit. A striking fact that Murphy underscores is that the subconscious mind operates on habit patterns. It doesn't reason like our conscious mind, but it's deeply influenced by our beliefs and expectations. This notion has been echoed in numerous psychological studies, highlighting that our subconscious mind can be programmed using affirmations and visualizations to bring about desired changes in our lives. Another critical insight from this book is the power of self-love, positive self-talk, and self-forgiveness in positively affecting our subconscious mind. This resonates with the concepts of self-compassion and positive psychology, which stress the importance of maintaining a positive attitude towards oneself. Murphy also discusses the role of the subconscious mind in healing, problem-solving, and goal achievement. He suggests that we can harness our subconscious mind to overcome obstacles, achieve our goals, and live a fulfilling life. This aligns with the principles of cognitive-behavioral therapy, which stresses the importance of changing harmful thought patterns to bring about positive behavioral changes. The power of the subconscious mind can be harnessed to bring about success, prosperity, and happiness in our lives. This aspect of the book is particularly enlightening as it ties in with the law of attraction, a popular concept that suggests we can attract into our lives whatever we focus on. The book also emphasizes that the subconscious mind is always active, even when we sleep. This aligns with the theories of dream analysis and the processing theory of sleep, which suggest that our subconscious mind processes and integrates information while we sleep. Finally, Murphy suggests that the subconscious mind does not distinguish between real and imagined experiences. This has significant implications for our understanding of the role of imagination and visualization in affecting our subconscious mind. In conclusion, "The Power of Your Subconscious Mind" is a fascinating exploration of the human mind and its immense potential. The insights from this book can be transformative, empowering us to harness the power of our subconscious mind to bring about positive change in our lives. Whether you are a student of psychology, a practitioner of mindfulness or simply someone interested in personal development, this book offers invaluable insights into the workings of the human mind and presents practical strategies to leverage its power for personal and professional growth.
ViewPython For Dummies
Stef Maruch, Aahz Maruch
Key Facts and Insights from the Book: Python is a high-level, interpreted programming language: It is lauded for its clear syntax and readability, making it an excellent language for beginners. Python is versatile: It is used in many areas of computing, from web development to data analysis, machine learning, artificial intelligence, and scientific computing. Python focuses on the DRY (Don't Repeat Yourself) principle: This encourages the use of reusable code to simplify the programming process and improve efficiency. Python supports multiple programming paradigms: It includes procedural, object-oriented, and functional programming, providing flexibility for various tasks. Python has a rich standard library: This extensive library, combined with Python's straightforward syntax, makes it possible to create complex programs with fewer lines of code compared to other languages. Python has a dynamic type system: Variables in Python are not explicitly declared, making the language more flexible and easy to use. Python has excellent community support: A large, active community contributes to the development and improvement of Python, providing a wealth of resources for learning and troubleshooting. Python is platform-independent: You can run Python code on various operating systems, including Windows, macOS, and Linux. Python is used by leading tech companies: Companies like Google, Facebook, and Netflix use Python for a wide range of applications, indicating its powerful capabilities. The book provides hands-on exercises: These exercises help readers to practice the concepts they learn and improve their understanding of Python. The book includes a comprehensive guide to Python's syntax and features: This guide helps new programmers to quickly get started with Python and understand its diverse capabilities. In-depth Analysis of the Book: "Python For Dummies" by Stef Maruch and Aahz Maruch is an invaluable resource for anyone looking to learn Python programming. The book is designed to be accessible to beginners, but it also provides enough depth to be useful for more experienced programmers looking to expand their knowledge of Python. The book starts with the fundamentals of Python, explaining what Python is and discussing its many applications. It stresses the readability and simplicity of Python's syntax, which makes it an ideal language for beginners. The authors also discuss Python's versatility, noting its use in a wide range of computing fields, from web development to scientific computing. One of the key insights from the book is the emphasis on the DRY principle. Python is designed to simplify programming and improve efficiency, and the DRY principle is a key part of this. By encouraging the use of reusable code, Python allows programmers to create complex programs with fewer lines of code. This principle, along with Python's clear syntax and rich standard library, make it a powerful and efficient language. The book also covers Python's dynamic type system, another feature that makes the language flexible and easy to use. Variables in Python are not explicitly declared, which reduces the amount of code needed and allows for more flexibility in programming. As well as covering the basics of Python, the book provides a comprehensive guide to Python's syntax and features. This guide is invaluable for new programmers, allowing them to quickly get to grips with the language and start creating their own programs. One of the standout features of the book is the hands-on exercises. These exercises provide readers with the opportunity to practice the concepts they've learned and to reinforce their understanding of Python. This practical approach to learning is a key strength of the book, helping readers to develop their programming skills more effectively. Another important point covered by the authors is Python's excellent community support. The Python community is large and active, contributing to the development and improvement of the language. This community provides a wealth of resources for learning and troubleshooting Python, making it easier for new programmers to get started. The book also highlights Python's platform independence, noting that Python code can run on a variety of operating systems. This makes Python a versatile language, suitable for a wide range of applications. Finally, the book emphasises the use of Python by leading tech companies. Companies such as Google, Facebook, and Netflix use Python for a wide range of applications, demonstrating the powerful capabilities of the language. This real-world application of Python reinforces the value of learning the language. In conclusion, "Python For Dummies" offers a comprehensive introduction to Python programming. Its clear explanations, practical exercises, and comprehensive coverage of Python's features make it an invaluable resource for anyone looking to learn this powerful language.
ViewLearning SQL - Master SQL Fundamentals
Alan Beaulieu
Key Facts and Insights from "Learning SQL - Master SQL Fundamentals" Introduction to SQL: The book offers a comprehensive introduction to SQL, its origin, importance, and the role it plays in data handling. Conceptual Understanding of Databases: It provides a detailed understanding of databases, data models, and relationships. Basic SQL Syntax and Commands: This includes SELECT, INSERT, UPDATE, DELETE, and WHERE clauses. Advanced SQL Concepts: Topics such as subqueries, joins, transactions, indices, and views are elaborately discussed. Database Normalization: The book covers the concept of normalizing databases to reduce redundancy and improve data integrity. Data Security: It sheds light on the importance of data security and how SQL can be used to ensure it. Practical Examples and Exercises: The book is filled with real-world examples and exercises for hands-on learning. SQL Best Practices: It provides valuable insights into industry best-practices for writing efficient SQL queries. Database Design: It discusses the principles of good database design and the considerations that need to be made while designing a database schema. Performance Tuning: The book delves into performance tuning techniques for optimizing SQL queries. Analysis and In-Depth Summary "Learning SQL - Master SQL Fundamentals" by Alan Beaulieu is an excellent guide for anyone who wants to understand and master SQL. The book starts with a comprehensive introduction to SQL, explaining its origin and importance in today's data-driven world. It emphasizes the role SQL plays in data handling and manipulation, making it an essential skill for anyone working with databases. The book then dives into databases, data models, and relationships, providing a strong foundation for understanding SQL. It covers different types of databases, the concept of data models, and how data is related within a database. This conceptual understanding of databases is crucial, as it sets the stage for the technical aspects of SQL. Next, the book introduces the basic SQL syntax and commands, such as SELECT, INSERT, UPDATE, DELETE, and WHERE clauses. These are the building blocks of SQL, and the book does an excellent job of explaining them with clear examples and exercises. As readers progress, they are introduced to advanced SQL concepts such as subqueries, joins, transactions, indices, and views. Each topic is explained in detail, with practical examples that illustrate how these concepts are used in real-world scenarios. One of the standout aspects of this book is its coverage of database normalization. It explains how to reduce redundancy and improve data integrity through normalization, a concept that is often misunderstood by beginners. In the context of increasing data breaches, the book underlines the importance of data security. It explains how SQL can be used to ensure data security, a feature that is highly beneficial for database administrators and data analysts. The book is filled with real-world examples and exercises that promote hands-on learning. These practical examples help readers understand how SQL is used in various industries, thereby improving their problem-solving skills. In addition to providing technical knowledge, the book offers valuable insights into industry best-practices for writing efficient SQL queries. This includes techniques for code optimization and performance tuning. Lastly, the book delves into the principles of good database design and the considerations that need to be made while designing a database schema. It also covers performance tuning techniques for optimizing SQL queries, making it a comprehensive guide for SQL learners. Overall, "Learning SQL - Master SQL Fundamentals" is a thorough and well-structured book that effectively combines theoretical knowledge with practical skills. Whether you are a beginner or an intermediate SQL learner, this book is a valuable resource to master SQL fundamentals.
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T.
5.July 2022It was great,inspiring.