Prathamesh Fuldeore

AI Researcher

India5 yrs 6 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Led a team to enhance large language model capabilities.
Achieved significant revenue growth through advanced recommendation systems.
Built end-to-end pipelines for healthcare data analysis.

Stackforce AI infers this person is a Data Science and Machine Learning expert in E-commerce and Healthcare sectors.

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Skills

Core Skills

Generative AiNatural Language Processing (nlp)Machine LearningData Science

Other Skills

AIMLAWS GlueAlgorithmsAmazon RedshiftAnalytical SkillsBusiness DevelopmentComputer ScienceData AnalysisData CollectionData VisualizationDeep LearningETLFine TuningLarge Language Models (LLM)Linear Models

About

I am an analytical thinker and data-driven professional passionate about leveraging data to drive insights and innovation. Currently, I contribute to the training and enhancement of one of the most popular large language models at Turing, focusing on improving its capabilities and performance. Previously, I worked as a Data Scientist 2 at Tata Cliq, where I developed machine learning applications to deliver personalized recommendations and optimize search functionalities. Before that, at IQVIA, I contributed to various projects specializing in machine learning, predictive analytics, and disease detection initiatives. With proficiency in Python, SQL, and PySpark, I am deeply interested in data science, machine learning, NLP, and generative AI technologies. My expertise lies in solving complex problems with a blend of technical skills and a strategic mindset.

Experience

Straive

Senior Data Scientist

Aug 2025 – Present · 7 mos · Pune, Maharashtra, India

Turing

Senior Data Scientist

Jun 2024 – Aug 2025 · 1 yr 2 mos · Remote

Led a team of six professionals to develop a simulated execution environment for the training and evaluation of generalized agents.
Collaborated with a leading tech firm to fine-tune their LLM via RLHF and SFT, assessing tool calls, reasoning, coding accuracy, and overall
performance.
Performed comparative analysis of multiple LLMs, highlighting strengths and areas for improvement.

Retrieval-Augmented Generation (RAG)Prompt EngineeringDeep LearningGenerative AILarge Language Models (LLM)Natural Language Processing (NLP)+2

Tata cliq

Data Scientist 2

Dec 2022 – Jun 2024 · 1 yr 6 mos · Mumbai, Maharashtra, India

Deployed an advanced product recommendation model that harnessed product attributes and image similarity through the integration of miniLM sentence transformer and siamese CNN. This implementation yielded remarkable results, achieving a noteworthy 56% surge in click-through rates. Consequently, this translated to a substantial 20 crores rise in revenue by successfully converting customers.
Developed a personalized size recommendation model based on historical customer-level purchase data using XGBoost thereby reducing the Customer initiated returns due to size issue by 12%.
Designed and executed a machine learning model to enhance personalized recommendations, leveraging factors such as price cohort, gender, and geolocation. This initiative resulted in a significant improvement, doubling the click-through rates of personalized banners and subsequently driving higher conversion rates.
Enhanced our luxury and beauty platform with advanced query classification, spellcheck and NER models, resulting in a 10% boost in user engagement and improved search precision.

Machine LearningXGBoostData ScienceStatistical AnalysisData Visualization

Iqvia india

AI Engineer

Sep 2020 – Dec 2022 · 2 yrs 3 mos · Pune, Maharashtra, India

Built an end-to-end pipeline for the disease detection model to perform prediction on 20 million+
patient records involved automating ingestion, quality checks, transformations and prediction using
rules.
Assisted senior data science team in ETL, EDA, feature engineering, and XGBoost model building for
business opportunity prediction and revenue forecasting project leveraging customer management
data.
Performed data analysis and parallel trade sales forecasting on European drug products.
Built and deployed machine learning model explainability application using SHAP plots and utilized it
in various analytical use cases.
Python flask API development of a patient analytics application, to facilitate the study of patient
engagement, diagnosis, retention, and disease management pathways