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sakshi mahurkarSM
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sakshi mahurkar

@sakshimahurkar

Aspiring Data Scientist building LLM-powered RAG and predictive analytics solutions.

India
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What I'm looking for

I’m looking for opportunities to apply Data Science skills to real-world problems—especially building LLM/RAG and predictive analytics solutions. I want hands-on projects, strong feedback, and a team where I can grow fast.

I’m an aspiring Data Scientist pursuing a Bachelor’s in Information Technology, with hands-on experience in Python, SQL, Machine Learning, Generative AI, LLMs, RAG, and Power BI. I’m passionate about building AI-driven solutions that solve real-world problems.

I built an LLM-based question-answering system using Retrieval-Augmented Generation (RAG), integrating document retrieval with large language models to generate context-aware responses. I implemented document processing, embedding generation, and semantic search with vector-based retrieval techniques, and delivered it through Streamlit.

I also created a customer churn prediction model using Logistic Regression and Random Forest, along with data preprocessing, feature engineering, exploratory data analysis, and classification-metric evaluation. Beyond data work, I completed a 6-month Flutter Framework internship, designing responsive UIs and implementing navigation and core business logic for clean, maintainable applications.

Experience

Work history, roles, and key accomplishments

IL

Flutter Framework Intern

Incubators Systems Pvt. Ltd.

Apr 2025 - Sep 2025 (5 months)

Completed a 6-month internship in Flutter framework and cross-platform mobile application development. Designed responsive user interfaces and implemented application navigation and core business logic using mobile development best practices.

Education

Degrees, certifications, and relevant coursework

ZR

Zeal College of Engineering and Research

Bachelor of Engineering, Information Technology

Pursuing a Bachelor of Engineering in Information Technology at Zeal College of Engineering and Research, Pune (expected graduation 2027).

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