Aatish has over 20 years of experience working on several cross-country and strategic collaboration projects in the areas of semiconductors & academic research, energy & utilities, and digital & agile business transformation. He has authored 17 publications in the above areas in several international peer-reviewed journals and conferences. He has completed Bachelors and Masters of Technology in Electrical Engineering from Indian Institute of Technology (IIT) Bombay, India, and Master of Business Administration in Digital Business and Innovation from Vrije Universiteit (VU) Amsterdam, the Netherlands.

Next to his role as a digital accelerator at Eneco Energy Trade, Aatish is leading a team of data professionals to create a future-ready digital analytics and storage platform which is able to drive and sustain several digital acceleration initiatives by fostering symbiotic and synergistic associations between the business and IT. Due to his amicable personality and people management skills, Aatish is able to stimulate and motivate team members to create and sustain high-performing teams with a growth mindset.

Aatish is a certified Professional Scrum Product Owner and Professional Scrum Master. Next to being a passionate Agile Scrum practitioner, he is a motivated digital transformation enthusiast and has completed several cloud (Azure/Data/AI Fundamentals and Azure Data Scientist Associate) certifications. A firm believer in life-long learning, Aatish continuously upskills himself by following webinars and massive online open courses in diverse areas such as negotiations, e-commerce, machine/deep learning, and cloud technologies. He is involved in several knowledge dissemination initiatives within his direct team as well as outside by conducting focused workshops and sessions.


Cloud Technologies | Business/IT Transformation | Business Development | Stakeholder Management | Growth Hacking | Digital Acceleration | Agile | Scrum

My Mentoring Topics

  • Data Science
  • Data Engineering
  • Azure
  • Agile
  • Scrum
  • Kanban
  • Product Management
  • Project Management
  • Digital Transformation
  • Team Management
  • Team Leadership

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Data Mesh
Zhamak Dehghani

We're at an inflection point in data, where our data management solutions no longer match the complexity of organizations, the proliferation of data sources, and the scope of our aspirations to get value from data with AI and analytics. In this practical book, author Zhamak Dehghani introduces data mesh, a decentralized sociotechnical paradigm drawn from modern distributed architecture that provides a new approach to sourcing, sharing, accessing, and managing analytical data at scale. Dehghani guides practitioners, architects, technical leaders, and decision makers on their journey from traditional big data architecture to a distributed and multidimensional approach to analytical data management. Data mesh treats data as a product, considers domains as a primary concern, applies platform thinking to create self-serve data infrastructure, and introduces a federated computational model of data governance. Get a complete introduction to data mesh principles and its constituents Design a data mesh architecture Guide a data mesh strategy and execution Navigate organizational design to a decentralized data ownership model Move beyond traditional data warehouses and lakes to a distributed data mesh

Fundamentals of Data Engineering
Joe Reis, Matt Housley

Data engineering has grown rapidly in the past decade, leaving many software engineers, data scientists, and analysts looking for a comprehensive view of this practice. With this practical book, you'll learn how to plan and build systems to serve the needs of your organization and customers by evaluating the best technologies available through the framework of the data engineering lifecycle. Authors Joe Reis and Matt Housley walk you through the data engineering lifecycle and show you how to stitch together a variety of cloud technologies to serve the needs of downstream data consumers. You'll understand how to apply the concepts of data generation, ingestion, orchestration, transformation, storage, and governance that are critical in any data environment regardless of the underlying technology. This book will help you: Get a concise overview of the entire data engineering landscape Assess data engineering problems using an end-to-end framework of best practices Cut through marketing hype when choosing data technologies, architecture, and processes Use the data engineering lifecycle to design and build a robust architecture Incorporate data governance and security across the data engineering lifecycle

Making Data Work - Enabling Digital Transformation, Empowering People and Advancing Organisational Success
Edosa Odaro

If you care about AI transformation, empowering people or advancing organisational success in an increasingly digital world, then you should read this book.—Yomi Ibosiola, Chief Data and Analytics Officer, Union Bank A retail giant already struggling due to the Covid-19 pandemic was faced with a disastrous situation when—at the end of a critical investment in an artificial intelligence project that had been meant to save money—it suddenly discovered that its implementation was likely to leave it worse off. An entire critical service stream within an insurer’s production system crashed. This critical failure resulted in the detentions of fully insured motorists for allegedly not carrying required insurance. Making Data Work: Enabling Digital Transformation, Empowering People and Advancing Organisational Success details these two scenarios as well as others illustrating the consequences that arise when organizations do not know how to make data work properly. It is a journey to determine what to do to "make data work" for ourselves and for our organisations. It is a journey to discover how to bring it all together so organisations can enable digital transformation, empower people, and advance organisational success. It is the journey to a world where data and technology finally live up to the hype and deliver better human outcomes, where artificial intelligence can move us from reacting to situations to predicting future occurrences and enabling desirable possibilities.

The Kaggle Book - Data analysis and machine learning for competitive data science
Konrad Banachewicz, Luca Massaron, Anthony Goldbloom

Get a step ahead of your competitors with insights from over 30 Kaggle Masters and Grandmasters. Discover tips, tricks, and best practices for competing effectively on Kaggle and becoming a better data scientist. Purchase of the print or Kindle book includes a free eBook in the PDF format. Key Features Learn how Kaggle works and how to make the most of competitions from over 30 expert Kagglers Sharpen your modeling skills with ensembling, feature engineering, adversarial validation and AutoML A concise collection of smart data handling techniques for modeling and parameter tuning Book Description Millions of data enthusiasts from around the world compete on Kaggle, the most famous data science competition platform of them all. Participating in Kaggle competitions is a surefire way to improve your data analysis skills, network with an amazing community of data scientists, and gain valuable experience to help grow your career. The first book of its kind, The Kaggle Book assembles in one place the techniques and skills you'll need for success in competitions, data science projects, and beyond. Two Kaggle Grandmasters walk you through modeling strategies you won't easily find elsewhere, and the knowledge they've accumulated along the way. As well as Kaggle-specific tips, you'll learn more general techniques for approaching tasks based on image, tabular, textual data, and reinforcement learning. You'll design better validation schemes and work more comfortably with different evaluation metrics. Whether you want to climb the ranks of Kaggle, build some more data science skills, or improve the accuracy of your existing models, this book is for you. Plus, join our Discord Community to learn along with more than 1,000 members and meet like-minded people! What you will learn Get acquainted with Kaggle as a competition platform Make the most of Kaggle Notebooks, Datasets, and Discussion forums Create a portfolio of projects and ideas to get further in your career Design k-fold and probabilistic validation schemes Get to grips with common and never-before-seen evaluation metrics Understand binary and multi-class classification and object detection Approach NLP and time series tasks more effectively Handle simulation and optimization competitions on Kaggle Who this book is for This book is suitable for anyone new to Kaggle, veteran users, and anyone in between. Data analysts/scientists who are trying to do better in Kaggle competitions and secure jobs with tech giants will find this book useful. A basic understanding of machine learning concepts will help you make the most of this book.

Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow - Concepts, Tools, and Techniques to Build Intelligent Systems
Aurélien Géron

Through a series of recent breakthroughs, deep learning has boosted the entire field of machine learning. Now, even programmers who know close to nothing about this technology can use simple, efficient tools to implement programs capable of learning from data. This practical book shows you how. By using concrete examples, minimal theory, and two production-ready Python frameworks—Scikit-Learn and TensorFlow—author Aurélien Géron helps you gain an intuitive understanding of the concepts and tools for building intelligent systems. You’ll learn a range of techniques, starting with simple linear regression and progressing to deep neural networks. With exercises in each chapter to help you apply what you’ve learned, all you need is programming experience to get started. Explore the machine learning landscape, particularly neural nets Use Scikit-Learn to track an example machine-learning project end-to-end Explore several training models, including support vector machines, decision trees, random forests, and ensemble methods Use the TensorFlow library to build and train neural nets Dive into neural net architectures, including convolutional nets, recurrent nets, and deep reinforcement learning Learn techniques for training and scaling deep neural nets

The Professional Product Owner - Leveraging Scrum as a Competitive Advantage
Don McGreal, Ralph Jocham

The Professional Product Owner's Guide to Maximizing Value with Scrum "This book presents a method of communicating our desires, cogently, coherently, and with a minimum of fuss and bother."--Ken Schwaber, Chairman & Founder, Scrum.org The role of the Product Owner is more crucial than ever. But it's about much more than mechanics: it's about taking accountability and refocusing on value as the primary objective of all you do. In The Professional Product Owner, two leading experts in successful Scrum product ownership show exactly how to do this. You'll learn how to identify where value can be found, measure it, and maximize it throughout your entire product lifecycle. Drawing on their combined 40+ years of experience in using agile and Scrum in product management, Don McGreal and Ralph Jocham guide you through all facets of envisioning, emerging, and maturing a product using the Scrum framework. McGreal and Jocham discuss strategy, showing how to connect Vision, Value, and Validation in ROI-focused agile product management. They lay out Scrum best-practices for managing complexity and continuously delivering value, and they define the concrete practices and tools you can use to manage Product Backlogs and release plans, all with the goal of making you a more successful Product Owner. Throughout, the authors share revealing personal experiences that illuminate obstacles to success and show how they can be overcome. Define success from the "outside in," using external customer-driven measurements to guide development and maximize value Fill the "product management vacuum" by bringing empowerment and entrepreneurship to the Product Owner's role Align everyone behind a shared model of how to create, deliver, and capture value Use Evidence-Based Management (EBMgt) to invest in the right places, make smarter decisions, and reduce risk Effectively apply Scrum's Product Owner role, artifacts, and events Populate and manage Product Backlogs, and use just-in-time specifications Plan and manage releases, improve transparency, and reduce technical debt Scale your product, not your Scrum Use Scrum to inject autonomy, mastery, and purpose into your product team's work Whatever your role in product management or agile development, this guide will help you deliver products that offer more value, more rapidly, and more often.

Becoming a Great Scrum Master - Everything You Need Know to Be a Great Scrum Master
Anusha Hewage

About a decade ago, most people, especially those not involved in IT, knew nothing about Agile. However, fast-forward ten years, and almost all organizations and enterprises know a bit about Agile. The agile transformation has in fact begun in most organizations, but others are unsure about where and how to start. Most people who have experience with Agile agree on one particular thing: it is a better way of working. The scrum master plays a significant role in Agile transformation by helping the team work the Agile way, ensuring that the team is well organized and that each member is always serving the greater good of the team and helping the team overcome challenges.A Scrum Master is a teacher, leader, and a change agent, capable of building a team that can govern its own affairs and ultimately making the team capable of operating without the scrum master's intervention. However, not all scrum masters take delight in these roles, instead considering their designation a way of moving up the ladder. Then there are those who desire to be heroes via the role, while others maintain the vision of becoming a scrum master, perhaps inspired by another scrum master, for the inspirational goodwill that the role may offer. Situations abound where managers pick any available person to become a scrum master. I have seen some people succeed in this job and seen others grow weary and run out of the zeal it takes to continue. I have also seen some really thrive while others get exhausted, de-motivated, and eager to just run away. There is more to becoming a good scrum master than zeal, focus, and motivation. Becoming a good scrum master goes beyond being determined, inspired, and excited to succeed. It requires soft skills and leadership plus a solid understanding of Agile, its principles, and practices. A good scrum master has the courage and will to learn despite challenges. The path can prove challenging, bumpy, and uneasy, but a good scrum master maintains courage and the will to learn. This book acts as a guide toward acquiring the necessary knowledge and the requisite skill set to succeed as scrum master. I have been privileged to coach and train several scrum masters, executives, product owners, and teams in different countries and industries, so I offer here real-life experiences. In fact, most of the scenarios explained in this book are actual cases, but I have changed the names of individuals and organizations in order to protect anonymity.

Scaled Agile Framework Complete Self-Assessment Guide
Gerardus Blokdyk

Have all basic functions of Scaled Agile Framework been defined? What will drive Scaled Agile Framework change? Risk factors: what are the characteristics of Scaled Agile Framework that make it risky? How to Secure Scaled Agile Framework? Do you monitor the effectiveness of your Scaled Agile Framework activities? Defining, designing, creating, and implementing a process to solve a business challenge or meet a business objective is the most valuable role... In EVERY company, organization and department. Unless you are talking a one-time, single-use project within a business, there should be a process. Whether that process is managed and implemented by humans, AI, or a combination of the two, it needs to be designed by someone with a complex enough perspective to ask the right questions. Someone capable of asking the right questions and step back and say, 'What are we really trying to accomplish here? And is there a different way to look at it?' For more than twenty years, The Art of Service's Self-Assessments empower people who can do just that - whether their title is marketer, entrepreneur, manager, salesperson, consultant, business process manager, executive assistant, IT Manager, CxO etc... - they are the people who rule the future. They are people who watch the process as it happens, and ask the right questions to make the process work better. This book is for managers, advisors, consultants, specialists, professionals and anyone interested in Scaled Agile Framework assessment. All the tools you need to an in-depth Scaled Agile Framework Self-Assessment. Featuring 617 new and updated case-based questions, organized into seven core areas of process design, this Self-Assessment will help you identify areas in which Scaled Agile Framework improvements can be made. In using the questions you will be better able to: - diagnose Scaled Agile Framework projects, initiatives, organizations, businesses and processes using accepted diagnostic standards and practices - implement evidence-based best practice strategies aligned with overall goals - integrate recent advances in Scaled Agile Framework and process design strategies into practice according to best practice guidelines Using a Self-Assessment tool known as the Scaled Agile Framework Scorecard, you will develop a clear picture of which Scaled Agile Framework areas need attention. Included with your purchase of the book is the Scaled Agile Framework Self-Assessment downloadable resource, which contains all questions and Self-Assessment areas of this book in a ready to use Excel dashboard, including the self-assessment, graphic insights, and project planning automation - all with examples to get you started with the assessment right away. Access instructions can be found in the book. You are free to use the Self-Assessment contents in your presentations and materials for customers without asking us - we are here to help.