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Learn Autonomous
Programming with
Python
Utilize Python's capabilities in
artificial intelligence, machine learning,
deep learning and robotic process automation
Varun P Divadkar
www.bpbonline.com
ii
First Edition 2024
Copyright © BPB Publications, India
ISBN: 978-93-55517-630
All Rights Reserved.
No part of this publication may be reproduced, distributed or transmitted in
any form or by any means or stored in a database or retrieval system, without the prior written
permission of the publisher with the exception to the program listings which may be entered,
stored and executed in a computer system, but they can not be reproduced by the means of
publication, photocopy, recording, or by any electronic and mechanical means.
LIMITS OF LIABILITY AND DISCLAIMER OF WARRANTY
The information contained in this book is true to correct and the best of author’s and publisher’s
knowledge. The author has made every effort to ensure the accuracy of these publications, but
publisher cannot be held responsible for any loss or damage arising from any information in
this book.
All trademarks referred to in the book are acknowledged as properties of their respective
owners but BPB Publications cannot guarantee the accuracy of this information.
www.bpbonline.com
Kup książkę
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Dedicated to
Every earnest reader of this book
Kup książkę
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About the Author
In a diverse career spanning 12+ years, across six multinational organizations,
Varun P Divadkar
holds the distinction of having contributed to a variety of global
techno-functional engagements with his delivery expertise in Python programming
applications towards cutting edge domains like Artificial Intelligence, Machine Learning,
Deep Learning and Robotic Process Automation. Being a qualified Mechanical Engineer
with a gold medal from MIT has endowed him with uniquely acquired logical reasoning
abilities and quantitative aptitude. This has further enabled him to grasp key mathematical
and technical concepts with a steep learning curve and thereby mentor students and
professionals in their journey towards exploration of these cutting edge domains.
He began his career with the prestigious Tata group within the manufacturing domain in
the engineering services sector and was involved in automation of engineering designs.
Thereafter, he had a stint of 5+ years with financial consulting giants Ernst & Young and
Deloitte, where he had the privilege to work out of the global financial epicenter of Wall
Street, Manhattan, New York and the culturally significant hub of Los Angeles, California.
Within India, he has worked across major commercial centers like Mumbai, Bengaluru,
Chennai, Hyderabad and Pune, thus adding to his diverse expanse of professional
network. Of recent, he has been with three banking organizations and currently leads the
Machine Learning and Generative AI initiative at a large global commercial bank as the
Vice President.
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About the Reviewer
Jyant,
a passionate Data Enthusiast with a Postgraduate degree in Artificial Intelligence
from Great Lakes, embarked on his IT journey with Accenture, where he honed his skills
in SAP BODS, SQL, PYTHON, and Excel, catering to US-based retail clients. Later, at
Impact Analytics, he delved into a diverse tech stack, including R, Python, SQL, AWS,
GCP, GUROBI, and more, while refining his interpersonal skills.
During his tenure at Sapient, Jyant led teams in delivering a spectrum of products, from
price optimization to movie recommendations and Credit Scoring Models, employing a
versatile toolkit encompassing Python, R, Advance SQL, Superset, Airflow, Git, Azure,
Pyspark, and others.
Currently, as a leader at Zscaler, Jyant spearheads the development of two pivotal models:
an attrition model and an innovative chatbot powered by AWS LEX. His expertise extends
to LLm, Rag, and ReAct Prompt integration, alongside utilizing SQLAlchemy to enhance
the chatbot's capabilities.
Jyant excels in tackling diverse challenges, is adept at creating Regression models for
promotion optimization, utilizing Seaborn and Matplotlib for extensive EDA, and
applying CNN and RESNET50 for image attribute tagging. He is also experienced at
employing NLP for data extraction, developing Movie Recommendation Engines with
Lightfm Neural Network models, and crafting intricate Price Optimization and Credit
Scoring Models using bank and retail data.
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