Headline

Faculty Fellow | M.Tech Data Science @ IIT Roorkee | Ex - ZS, Axtria | B.Tech @ IIT Tirupati

About

Data Science graduate from IIT Roorkee with 2 years of experience in data analytics and predictive modelling at ZS Associates. Strong foundation in machine learning, feature engineering, and statistical analysis, with hands-on experience building end-to-end data pipelines and developing models to solve real-world business problems. Proficient in Python and SQL, with exposure to NLP and LLM-based systems including retrieval-augmented generation (RAG) and prompt engineering. Passionate about leveraging data and machine learning to drive impactful, scalable solutions.

Location

Bengaluru

AI stack

claude

gemini

github copilot

langchain

openai

ChatGPT

Work experience

AI Intern at Accenture, Sep 2026 - Present · 1 mo, Bengaluru

Tech Summer Intern at Axtria - Ingenious Insights, May 2025 - Jul 2025 · 3 mos, Noida, Uttar Pradesh, India, • Developed components of an NLP-based query resolution system using large language models (LLMs) and retrieval-augmented generation (RAG). • Built a data retrieval and preprocessing pipeline in Python to support context-aware response generation. • Applied prompt engineering techniques to optimize LLM outputs, improving relevance and accuracy of generated responses. • Contributed to query classification and workflow orchestration using LangChain-based pipelines. • Enabled scalable handling of unstructured queries through integration of LLMs with structured data sources.

Decision Analytics Associate at ZS, Jun 2022 - Mar 2024 · 1 yr 10 mos, Pune District, Maharashtra, India, • Designed and implemented an end-to-end feature engineering pipeline using SQL to generate 50+ features for a predictive modelling system. • Performed exploratory data analysis (EDA) and statistical analysis on large healthcare datasets using Python to identify key drivers and patterns. • Evaluated multiple datasets and engineered features to support model development, improving data quality and model readiness. • Automated data preprocessing and feature computation workflows using SQL and Python, improving pipeline efficiency by 60%. • Applied data-driven analyses to assess the performance of a newly launched product for a Fortune 500 client, enabling faster and more informed decision-making.

Education

M.Tech, Data Science, Indian Institute of Technology, Roorkee

B.Tech, Indian Institute of Technology Tirupati