Python / SQL – CrateDB Intern with less than a year in Python & SQL for data analysis and machine le
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Detail-oriented BSc IT graduate with hands-on experience in SQL, Python, Power BI, and Excel for data cleaning, analysis, and visualization. Skilled at translating raw datasets into actionable business insights through dashboards and statistical analysis. Strong problem-solving ability, quick learner, and effective communicator, eager to apply analytical skills to support data-driven decision-making.
Shri Pancham Khemraj Mahavidyalaya, Mumbai University
Bachelor of Science · Information Technology
August 1, 2022 – June 30, 2025
B.M. Gogte College, Sindhudurg, India
Higher Secondary Certificate · Computer Science
June 1, 2021 – May 31, 2022
Yardgreen Ltd.
Data Science Intern
February 1, 2026 – May 1, 2026
India
DMart Sales Analysis
June 18, 2026 – Present
Analyzed a multi-table DMart dataset (sales, products, stores) covering 30,000+ records to identify sales trends and store performance. Applied SQL joins, aggregations, CTEs, and window functions to extract actionable business insights. Cleaned and validated data to ensure accuracy and consistency, then built interactive Power BI dashboards for KPI tracking.
Customer Churn Prediction (ML)
June 18, 2026 – Present
Built a churn prediction model using TensorFlow/Keras, including data preprocessing, encoding, and feature scaling. Achieved 86% accuracy and a 0.727 ROC-AUC score on the test dataset through model tuning and evaluation. Analyzed churn patterns using classification metrics to identify at-risk customers and support retention strategies.
Crop Recommendation System (ML)
June 18, 2026 – Present
Developed a crop recommendation system achieving 97.45% accuracy using a Random Forest classifier. Performed exploratory data analysis (EDA) and benchmarked multiple algorithms (KNN, SVM, Logistic Regression, Decision Tree). Deployed the model with Streamlit to enable real-time crop predictions for end users.
Master's in Data Science and Analytics with AI
IBM SkillsBuild
January 1, 2026 – Present
Master's in Data Science and Analytics (AI)
IT Vedant Education Pvt. Ltd.
January 1, 2025 – Present
Cultural Fit Analysis
The candidate's projects demonstrate a proactive learning approach and an interest in applying data science to real-world problems (sales analysis, churn prediction, crop recommendation). The internship experience shows collaboration in a remote setting. The target role is an internship, which aligns with the candidate's current experience level and educational background. The breadth of tools and techniques used across projects indicates adaptability and a willingness to explore different solutions, which is positive for cultural fit in a dynamic environment.
Soft Skills & Operational Fit
The candidate lists communication, problem-solving, analytical thinking, adaptability, and teamwork as soft skills. The project descriptions and internship experience suggest an ability to collaborate and follow structured guidelines. The professional summary also highlights strong problem-solving ability, quick learning, and effective communication. These align well with typical intern expectations for operational fit.