Machine Learning Data Scientist

Ameya Kulkarni

Ph.D. (Mechanical Engineering) Specializing in Data-Driven Mathematical

Modelling, Machine Learning, and Generative AI with Python Expertise. Linkedin.com/in/ameyak2310/

Github.com/ameyak2310

*************@*******.***

Contact: 331-***-****. Batavia, IL.

J2 –EAD Work Authorization

Key Skills

Languages: Python, SQL • Generative AI: Chatbot, RAG, LangChain, LangGraph, LlamaIndex, AI Agents, LLMs, NLP • Math & Statistics: Machine Learning, Deep Learning, Optimization Algorithms • Deployment: AWS, Dataiku, Snowflake, Flask, Fast API • Version Control: Github; • Core Competencies: Data-driven Mathematical Modelling and Simulations, Computational Fluid Dynamics. Work Experience

Data Scientist - MResult Technologies (Contracted to Pfizer Digital) Sep 2023 – Present 1. Empowering Chatbots with RAG-Driven Intelligence

• Data Pipeline Engineering: Reduced ingestion time for large documents by 50% by engineering data ingestion pipelines, crafting custom parsers for diverse formats (e.g., XML, OneNote, JSON, TXT), and optimizing chunking and vectorization strategies.

• Context Retrieval Optimization: Achieved a 70% reduction in retrieval time by deploying context selection techniques leveraging Maximal Marginal Relevance (MMR) and cosine similarity, enabling efficient endpoints for document summarization and comparison.

• AI Agent Deployment: Enhanced report generation capabilities by deploying AI agents for query decomposition, semantic rewriting, and response grading.

• Prompt Engineering Framework: Reduced first-draft generation time to minutes using LangChain and advanced prompt engineering (e.g., CoT, role prompting, multi-turn, context retention) to build a reusable prompt library. 2. Data-Driven Process Optimization and Visualization Platform

• Led Backend Development: Achieved a 90% reduction in modelling time by leading the development of a Python- backed web app that optimized workflows for advanced modelling.

• Optimized Simulation Engine: Cut simulation time by 65% by utilizing SciPy for optimization in computational models, ensuring precise freeze-drying process simulations.

• Data Engineering Integration: Slashed data I/O latency by 90% by engineering an AWS-based data pipeline, integrating seamlessly with Snowflake database for storing modelling inputs and simulation outputs.

• Interactive Visualization Dashboard: Delivered real-time, intuitive visualizations by crafting a front-end dashboard with Plotly, Matplotlib, and Seaborn for modelling and simulation outputs. 3. Predicting Pharma Sales with Markov-Enhanced Precision (PoC)

• Developed Forecasting Models: Developed higher precision models for pharmaceutical sales forecasting by serving as an ML specialist, designing and training models like FBProphet, XGBoost, and LSTM.

• Markov Chain Segmentation: Boosted prediction accuracy from 65% to 90% by deploying a Markov chain-based filter to segment historical data, optimizing dynamic weight assignment for enhanced model performance. Research Scientist - Freelance (ML & CFD Projects) Aug 2015 – Oct 2017 1. Optimizing Drying Efficiency with Predictive Precision

• Predictive Modelling: Reduced batch drying time by up to 50% by developing an XGBoost Regressor, predicting process duration with 96% accuracy and pinpointing key parameters.

• Physics-Informed Modelling: Improved material diffusivity predictions by 30% by crafting physics-informed, data- driven models with SciPy across diverse process conditions. 2. Forecasting Gas Dynamics with Data-Driven Precision

• ML-Driven Estimation: Deployed machine learning models on simulated datasets to predict gas concentration levels under diverse flow modulation scenarios.

• Probabilistic AQI Validation: Developed probabilistic Air Quality Index (AQI) models for anomaly detection and benchmarking against sensor network standards.

Education

Ph.D. Mechanical Engineering. Institute of Chemical Technology, Mumbai. Oct 2017 – Aug 2023 M.S. Mechanical Engineering. Purdue University, Indianapolis, USA. Aug 2013 – Jul 2015 B.E. Mechanical Engineering. Yeshwantrao Chavan College of Engineering, Nagpur. Aug 2008 – May 2012 Certifications [ ] and Course Work [ ]

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