About
Highly accomplished Senior Data Scientist and NLP Engineer with 8 years of experience in developing end-to-end Data Science, Machine Learning, and Natural Language Processing solutions. Proven ability to drive significant business impact through advanced AI/ML applications, including a $5.2M revenue contribution and 70% reduction in manual effort. Expert in Generative AI, deep learning frameworks, and scalable model deployment across diverse industries.
Work
Publicis Sapient
|Senior NLP Engineer
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Summary
Led the development of advanced NLP and AI solutions to modernize legacy systems and optimize call center operations, significantly enhancing efficiency and sales performance.
Highlights
Developed an agentic framework for legacy COBOL to Python code modernization, achieving a 70% reduction in human effort for code conversion and 70% SONAR case coverage.
Created a Call Analyzer for Hilton Grand Vacation, identifying top rejection reasons and improving an annotation ETL pipeline for automated response and ticket assignment.
Optimized sales agent call lists using a call propensity model, decreasing rejection rates by 10% and increasing conversation rates by 1%.
AB-InBev
|Data Scientist, CPG Domain
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Summary
Designed and deployed AI/ML-driven platforms for social listening, grievance resolution, and recommendation engines, directly impacting revenue and operational efficiency.
Highlights
Designed and deployed a social listening platform using AI-clustering of posts from Instagram, LinkedIn, Twitter, and Telegram, achieving near real-time clustering with optimized GPU usage (Nvidia A100).
Developed a RAG-based semantic search and FAQ recommendation engine, increasing Recall@3 and Recall@5, and reducing average tickets by 20% per month.
Created and deployed a recommender engine over Azure for a B2B platform, contributing $5.2M to net revenue in FY2022-23 with over 70% engagement.
Developed an AB Testing library widely used within the organization, accumulating over 400 downloads and standardizing reporting procedures for FP&A and P&L.
Developed an ensembled-forecasting technique for monthly beer distributor targets, reducing historical MAPE by 30% and saving over $1 million annually.
Mastercard
|Data Analyst
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Summary
Automated critical reporting processes, significantly reducing manual effort and improving data efficiency for the payment domain.
Highlights
Automated monthly and bi-weekly Power BI reports, reducing manual effort by 70% and enhancing data accuracy for key stakeholders.
PharmaACE Analytics
|Data Scientist
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Summary
Developed predictive models and market analyses using healthcare data to optimize sales strategies and drug launches.
Highlights
Created predictive alerts for weekly medical representative schedules using insurance claims data, increasing conversion rates and ROI by 10%.
Developed a forecast model to predict drug uptake for AMG510 using analogue studies, informing strategic launch decisions.
Conducted market sizing analysis using EHR data for new drug launches, providing crucial insights for business development.
Tata Consultancy Services Ltd
|Data Scientist
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Summary
Engineered and deployed a propensity modeling system to enhance marketing campaign performance and user profiling.
Highlights
Developed and deployed PMAS (Propensity Model at Scale) on Salesforce Cloud for user profiling, generating propensity scores for email campaigns.
Improved email campaign KPIs, achieving a 20% increase in response and conversion rates compared to rule-based campaigns.
Volunteer
Corporate Social Responsibility (CSR) Empower initiative
|Mentor
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Summary
Mentored security personnel and working staff in functional English to empower their communication skills.
Highlights
Mentored security personnel and working staff of TCS in spoken Functional English as part of a training program.
Robotex program
|Coding Mentor
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Summary
Empowered underprivileged students with foundational coding skills.
Highlights
Mentored underprivileged students in coding skills, providing working knowledge of programming concepts.
Education
Institute of Engineering and Technology (I.E.T.), Lucknow
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Bachelor of Technology (B.Tech)
Electronic and Communications
Skills
Generative AI
Generative AI, Natural Language Processing (NLP), Deep Learning, PyTorch, BM25-retriever, Cross-encoder, Re-Ranker, Cost and Infra Estimation and Optimization of Training, LLMops, LlamaIndex, Vector Databases (pgVector, Chroma), LLM Models (Llama, Microsoft-phi, OpenAI-GPTs).
Machine Learning
Machine Learning, Customer Segmentation, Recommendation Engine, Propensity Model, AB-Testing, Predictive Model, MLOps, Transformers, BERT, GPT, Attention Model, NER, Neural Networks.
Programming & Databases
Python, TensorFlow, HuggingFace, SQL, R-Programming, FastAPI, MongoDB, ElasticSearchDB.
Cloud Platforms
Azure.
Projects
Aspect Based Sentiment Analysis (ABSA) Model
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Summary
Trained a BERT model for Aspect Based Sentiment Analysis to identify customer problems and suggest measures to improve service and product quality, utilizing a distinctive attention model.