National Lead AI/ML at Bajaj FinServ | Data Science Visionary with 13+ Years of Experience in AI, ML, Gen AI and Big Data Analytics | BITS Pilani Alumnus
13 Years of Experience
Pune, Maharashtra, India
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Not Available
Dynamic and innovative Data Science Leader with over 13 years of experience, I specialize in steering advanced AI/ML technologies to drive business growth and operational excellence. Currently leading AI/ML initiatives at Bajaj FinServ, I am passionate about transforming complex business challenges into actionable data-driven solutions. My journey: • National Lead – AI/ML, Bajaj FinServ: Spearheading data science methodologies, optimizing operations with large language models, and enhancing customer engagement strategies. • Former AVP – Data Science, Citibank: Pioneered NLP solutions for regulatory compliance, leading to significant cost savings and operational efficiencies. • Senior Data Scientist, Yatra.com: Boosted website conversion rates through innovative analytics and machine learning strategies. Technical Proficiency: • Expert in Python, R, TensorFlow, PySpark, and Big Data technologies. • Skilled in Machine Learning, AI, Deep Learning, Data Engineering, and Cloud Computing. • Proficient in implementing Regression Analysis, Classification Techniques, SVMs, Random Forest Algorithms, and Bayesian Models. Education & Certifications: • M. Tech in AI/ML (In Progress) from BITS Pilani. • B.E. in Computer Science from CKPCET. • Holder of advanced certifications in Generative AI, Time Series Analysis with Python, and Machine Learning for Data Analysis. My Approach: I believe in a blend of strategic vision and technical prowess. My focus is on developing solutions that not only solve immediate challenges but also pave the way for future innovation and efficiency. I'm committed to lifelong learning and staying at the cutting edge of AI and ML technologies. Looking Forward: I am keen on collaborating with professionals who share a passion for data science and AI innovation. Let's connect and explore how we can drive the future of technology together!
Bajaj Finserv, Others, Financial Services
Citi
Yatra Online Ltd.
Bajaj Finserv, Citi, Yatra Online Ltd., Infosys, IBM, Vodafone, Amdocs
Job Title : National Lead - Data Science
Company name : Bajaj Finserv
Period : May 2023 - Present
Summary : • Successfully initiated and nurtured the application of data science methodologies within Bajaj's Personal Loan Cross-Sell team
• Directly accountable to Business Heads for managing and mentoring a dynamic team of 12 professionals
• Devised strategic approaches to amplify the existing customer base, effectively balancing portfolio risks
• Coordinated with multiple data providers, including CRIF, CIBIL, EXPERIAN, Vahan, and MSEB, ensuring comprehensive data integration
• Significantly enhanced lead generation by integrating Large Language Models (LLM) such as GPT-2, LLAMA, and FLAN-T5
• Pioneered in developing agent training programs and managed to handle times through innovative zero and few-shot learning techniques
• Spearheaded prompt engineering and fine-tuning of models, achieving optimal performance
• Evaluated LLMs using HELM, Rouge, and MMLU metrics and applied PEFT and LoRa methodologies to streamline model space
• Elevated the likelihood of customers opting for personal loans from 0.4% to a targeted 0.8%
• Conducted an in-depth analysis of market segments, identifying growth opportunities in underrepresented areas
• Set and pursued the ambitious goal of establishing 20 new potential branches to expand Bajaj's 7% market share in personal loans
• Effectively controlled credit risk, maintaining key Risk KPIs such as FEMI, CBB, 0+6MOB, and 3MOB
• Enhanced amount loss management and collection efficiency, contributing to a robust risk management framework
• Identified and addressed customer segments prone to lodging complaints with TRAI regulators, reducing promotional complaints
• Successfully leveraged various Bureau on-us and off-us features, inquiries, EPFO data, bank statements, and social features to develop and implement multiple approaches and models
• Achieved recognition and approval from PLCS regional Business Heads for the developed models, with ongoing performance monitoring and evaluation
Job Title : AVP-Data Science
Company name : Citi
Period : August 2018 - December 2022
Summary : • Addressed the challenge of automating the matching of handwritten checks, including the dollar amount and signature verification
• Developed and trained Convolutional Neural Networks (CNN) and Bidirectional Recurrent Neural Networks (RNN) models to create a sophisticated in-house Optical Character Recognition system
• This system was designed to accurately interpret human handwriting on payment and deposit checks, significantly reducing manual effort and minimizing human errors
Result: Successfully achieved an automated system that accurately processes approximately 80% of payment and deposit checks
• Tackled the substantial financial penalties (approx. $100MM/year) faced by banks due to regulatory non-compliance.
• Utilized Natural Language Processing (NLP) techniques to analyse text transcripts, effectively enforcing regulatory compliance
• The project involved monitoring over 40 regulations in call centres, including the Telephone Consumer Protection Act (TCPA)
• Analytical Solution: Implemented intelligent call monitoring using advanced text analytics and deep learning architectures such as BERT, Skip-gram, Transfer Learning, CBOW with n-gram approach, Bidirectional-LSTM, Logistic, and tree-based models
Result: This approach led to a remarkable saving of $6MM monthly, the implementation of 3 new compliance policies, the elimination of manual call listening, and the removal of third-party vendors
• Focused on enhancing efficiency by removing Level 1 (L1) support and maximizing Interactive Voice Response (IVR) containment
• Applied predictive analytics for caller intent prediction and understanding of call complexity
• Implemented capacity planning for call centres using time series analytics and topic modelling
Result: Developed an enterprise-level text analytics tool using Shiny (R), and a comprehensive Customer Journey Analytical tool, encompassing nearly all text mining capabilities
Job Title : Senior Data Scientist
Company name : Yatra Online Ltd.
Period : October 2017 - August 2018
Summary : Enhancement of Hotel Website Conversion:
• Spearheaded implementation of hotel discounting strategies within a defined budget, employing genetic programming for optimization
• Developed and fine-tuned a web personalization recommendation system, focusing on up-selling and cross-selling
• Utilized tree-based models for identifying key features and the Apriori algorithm for mining sequences with high confidence and support.
• Conducted comprehensive A/B testing on various propensity models
Result: Boosted the hotel website's monthly conversion rate from 6% to 10%, generating approximately 20-25 lakh in additional revenue. Also achieved a 6% conversion rate in the churned customer segment
Optimization of Upselling and Cross-Selling in Cab Services:
• Led the analysis and utilization of tree-based models to identify actionable features for the cab business
• Implemented similarity-based approaches for identifying and targeting new customer segments with specialized campaigns
Result: Successfully increased upselling and cross-selling by 18% in a quarter, contributing to an additional 10-15 lakh in revenue per month.
Strategic Use of Time Series Analysis in Flight Fare Management:
• Analysed flight fare variations over time to create a sense of urgency for online ticket bookings
• Executed customer profiling to identify and capitalize on market opportunities
Job Title : Lead Data Scientist
Company name : Infosys
Period : November 2016 - October 2017
Summary : BPOST Mail Classification System:
• Developed an end-to-end solution for categorizing BPOST's mail, including digitally scanned items
Result: Enhanced mail sorting efficiency and accuracy
ExxonMobil Fraud Detection System:
• Implemented a credit card fraud detection system for ExxonMobil
• Result: Improved fraud detection, reducing fin
Title : Generative AI: Introduction and Applications
Period : March 2024 - Present
Summary : CV22ZZ3JYDMX, coursera.org, https://www.coursera.org/account/accomplishments/records/CV22ZZ3JYDMX
Issuing Authority : IBM
Title : Generative AI with Large Language Models
Period : November 2023 - Present
Summary : abd98e71f4b17faa5c391bc2aceff982, coursera.org, https://coursera.org/share/abd98e71f4b17faa5c391bc2aceff982
Issuing Authority : Coursera
Title : Time Series Analysis and Forecasting with Python
Period : December 2022 - Present
Summary : UC-9972437e-b3dd-4baf-a474-03bdf43b046a, udemy.com, https://michelingroup.udemy.com/certificate/UC-9972437e-b3dd-4baf-a474-03bdf43b046a/
Issuing Authority : Udemy
Title : Introduction to Programming Using Python
Period : May 2022 - Present
Summary : UC-0201e55b-4455-4463-9e22-74b23be2cd44, ude.my, http://ude.my/UC-0201e55b-4455-4463-9e22-74b23be2cd44
Issuing Authority : Udemy
Title : MLOps Fundamentals: CI/CD/CT Pipelines of ML with Azure
Period : February 2022 - Present
Summary : UC-e890b0e0-e5ee-4b85-a25b-ddf2e1b6db89, udemy-certificate.s3.amazonaws.com, https://udemy-certificate.s3.amazonaws.com/pdf/UC-e890b0e0-e5ee-4b85-a25b-ddf2e1b6db89.pdf
Issuing Authority : Udemy
Title : Machine Learning for Data Analysis: Regression & Forecasting
Period : January 2022 - Present
Summary : UC-31bad8f2-52a3-4e18-b7cc-84bd7362b879, udemy.com, https://michelingroup.udemy.com/certificate/UC-31bad8f2-52a3-4e18-b7cc-84bd7362b879/
Issuing Authority : Udemy
Title : Complete Course on Product A/B Testing with Interview Guide
Period : January 2021 - Present
Summary : UC-e02866de-a5b1-4921-b60e-72e54312ee2b, ude.my, http://ude.my/UC-e02866de-a5b1-4921-b60e-72e54312ee2b
Issuing Authority : Udemy
Title : Neural Networks and Deep Learning
Period : April 2019 - Present
Summary : 2MF24QSKWQXA, coursera.org, https://www.coursera.org/account/accomplishments/certificate/2MF24QSKWQXA
Issuing Authority : Coursera
Title : R Programming
Period : June 2016 - Present
Summary : MX65J9JSRRN2, coursera.org, https://www.coursera.org/account/accomplishments/verify/MX65J9JSRRN2
Issuing Authority : Coursera Course Certificates
Title : Getting and Cleaning Data
Period : May 2016 - Present
Summary : coursera.org, https://www.coursera.org/learn/data-cleaning
Issuing Authority : Coursera
Title : Machine Learning
Period : May 2016 - Present
Summary : coursera.org, https://www.coursera.org/learn/machine-learning
Issuing Authority : Coursera
Title : Practical Machine Learning
Period : May 2016 - Present
Summary : coursera.org, https://www.coursera.org/learn/practical-machine-learning
Issuing Authority : Coursera
Title : Microsoft: DAT203x Data Science and Machine Learning Essentials
Period : March 2016 - Present
Summary : edx.org, https://courses.edx.org/courses/course-v1:Microsoft+DAT203x+3T2015/info
Issuing Authority : edX
Title : The Data Scientist’s Toolbox
Period : May 2015 - Present
Summary : coursera.org, https://www.coursera.org/learn/data-scientists-tools
Issuing Authority : Coursera
Title : Introduction to Programming Using Python
Period : March 2014 - Present
Summary : ts35K33e2, kaggle.com, https://www.kaggle.com/learn/certification/puneetsinha/python
Issuing Authority : Kaggle
Title : Introduction to Python for Data Science
Summary : edx.org, https://courses.edx.org/courses/course-v1:Microsoft+DAT208x+1T2016/info
Issuing Authority : edX
Title : Probability & Statistics Master
Summary : UC-7b72b680-6a52-4a15-b9c2-c369f9fdba04, udemy.com, https://www.udemy.com/certificate/UC-7b72b680-6a52-4a15-b9c2-c369f9fdba04/
Issuing Authority : Udemy
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