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Data Analyst with 2+ years in Machine Learning & Python
Data Analyst with 2+ years of experience in Data Analytics and Machine Learning, working on real-world datasets and business-driven projects. Skilled in Python, SQL, and data visualization, with hands-on expertise in building data-driven solutions and analytical models. Experienced in developing end-to-end projects including customer analytics, churn prediction, and AI-based systems. Proficient in machine learning, NLP, feature engineering, and model deployment to drive data-driven decision-making.
International Institute Of Information Technology, Pune
Bachelor of Computer Engineering · Computer Engineering
N/A – June 30, 2023
Tech Mahindra
Associate Software Engineer (Data Analytics)
March 1, 2024 – March 1, 2026
Pune, Maharashtra, India
Prodigy Infotech
Machine Learning Intern
October 1, 2023 – November 1, 2023
India
AI Resume Analyzer
June 17, 2026 – Present
Developed an NLP-based system using TF-IDF and cosine similarity to evaluate resume-job matching with accuracy scoring. Built and deployed Flask-based REST APIs and implemented text preprocessing (tokenization, stopword removal) for scalable analysis. Engineered a candidate ranking system with skill extraction and interactive UI to provide insights and and recommendations.
Customer Churn Prediction System
June 17, 2026 – Present
Built and evaluated ML models (Logistic Regression, Random Forest, XGBoost) achieving 85% accuracy using ROC-AUC and confusion matrix. Performed EDA, data cleaning, and feature engineering using Python and SQL to identify key churn drivers and improve model performance. Developed and deployed a Streamlit web application for real-time churn prediction with probability scoring and actionable insights.
Microsoft Certified: Azure AI Fundamentals
Microsoft
June 1, 2026 – Present
Microsoft Certified: Azure AI Engineer Associate (AI-102)
Microsoft
June 1, 2026 – Present
IBM watsonx Essentials
IBM
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's diverse project portfolio, including customer churn prediction and an AI resume analyzer, demonstrates initiative and a broad interest in applying data science to various problems. The experience as an Associate Software Engineer (Data Analytics) and Machine Learning Intern aligns well with a data-driven culture. The certifications further indicate a proactive approach to skill development, which is a positive cultural fit.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on end-to-end solutions, from data cleaning to model deployment, suggesting good problem-solving and project management skills. The automation of data processing workflows points to an efficiency-oriented mindset. The experience with customer behavior analysis implies an understanding of business impact.