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Data Science with less than a year in Python & Machine Learning.
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Assessing your cultural and operational fit
Data Science Intern with hands-on experience in Python, SQL, Pandas, and Machine Learning. Built customer segmentation and cybersecurity detection models using Scikit-learn. Seeking Data Analyst or Junior Data Scientist opportunities to leverage data-driven problem solving and business insights.
KSRM College of Engineering
B.Tech · Computer Science
August 1, 2021 – June 30, 2025
Sir CV Raman Junior College
Intermediate Education
June 1, 2019 – May 31, 2021
AIML Labs Pvt Ltd
Data Science Intern
May 1, 2025 – December 1, 2025
India
AI-Powered Document Q&A System
June 1, 2026 – Present
Developed a RAG-based chatbot capable of retrieving information from 500+ documents with semantic search using ChromaDB and LangChain. Reduced document lookup time from minutes to seconds through automated contextual retrieval. Implemented document chunking, embedding generation, and semantic retrieval to ensure accurate context-aware responses from GPT-4.
Customer Churn Prediction
June 1, 2026 – Present
Built a binary classification model to predict customer churn using telecom data, supporting data-driven retention strategies. Conducted EDA and feature engineering, achieving strong AUC and precision-recall scores after model optimization.
Fundamentals of Data Analytics (Gold)
NASSCOM
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects demonstrate initiative and a proactive approach to learning and applying data science concepts. The 'AI-Powered Document Q&A System' project shows an interest in cutting-edge AI applications (RAG, LangChain). The 'Customer Churn Prediction' project indicates an understanding of business-oriented data science problems. The internship experience aligns well with a data science role, focusing on data manipulation, analysis, and model development. The breadth of skills and project types suggests a good fit for a dynamic, problem-solving oriented team.
Soft Skills & Operational Fit
The candidate's resume highlights 'Leadership, Team Collaboration, Adaptability' as soft skills. The internship description mentions collaboration with a team to develop and evaluate data-driven workflows, suggesting a capacity for teamwork. The project diversity indicates adaptability to different problem domains within data science.