Sneha Suryawanshi
Data Scientist
Mumbai
Summary
With over six years of experience in data science, I specialize in data analysis, natural language processing, and machine learning, including advanced approaches such as Large Language Models (LLMs). I apply these skills to build innovative, scalable software solutions that deliver measurable impact. By collaborating closely with cross-functional teams of engineers, designers, and product managers, I contribute to the development of robust, high-quality code that strengthens core capabilities and drives market success.
Overview
7
7
years of professional experience
Work History
Site Lead - Data Scientist
Cipla
11.2022 - Current
- Developed Rapid AI Writer, a generative AI-powered tool for the QMS team that automated documentation workflows and reduced document creation time by 50%, improving overall operational efficiency.
- Contributed to the development of a generative AI-based SmartAssign tool for engineering material code assignment, eliminating duplicate entries by 100% and accelerating new material code creation by 20%.
- Built and optimized 10+ Python functions and deployed machine learning models to reduce processing time by 40%, enhance machine-setting predictions, improve batch yield, and generate over ₹7 crore in measurable business profit.
- Designed interactive Power BI dashboards and implemented strategic KPIs for Cipla formulation sites, increasing data accessibility by 20%, strengthening reporting infrastructure, and reducing production defects by 15%.
Data Scientist
Tata Consultancy Services
06.2019 - 11.2022
- Insurance Fraud Detection Project
- Developed an automated machine learning model using classification techniques such as Random Forest, Decision Tree, and Logistic Regression to identify potentially fraudulent insurance claims.
- Improved fraud detection efficiency by enabling faster claim evaluation, reducing manual effort, and minimizing financial risk for the organization.
- Customer Churn Prediction & Segmentation Project
- Built a customer churn prediction model using classification algorithms to proactively identify customers at risk of leaving.
- Performed customer segmentation using K-means clustering to group high-risk churn segments.
- Applied RFM (Recency, Frequency, Monetary) analysis to design personalized retention strategies, reducing churn rates and increasing customer lifetime value.
Education
Masters in computer science -
Savitribai Phule University
06.2018
Bachelors in computer science - undefined
Savitribai Phule University
05.2016
Skills
Languages and Tools: Python, Lang chain, Git, Docker, Tensorflow, PyTorch, ScikitLearn
Gen AI (LLMs): Open AI APIs, LLaMA, BERT etc
Cloud Platforms: Databricks, Azure
Awards and Recognitions
Star of the Quarter - Awarded for outstanding performance and significant contributions to Advance Analytics Team.
Timeline
Site Lead - Data Scientist
Cipla
11.2022 - Current
Data Scientist
Tata Consultancy Services
06.2019 - 11.2022
Bachelors in computer science - undefined
Savitribai Phule University
Masters in computer science -
Savitribai Phule University