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Data Science with 1+ years in Python, SQL, Machine Learning, and Data Visualization
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Assessing your cultural and operational fit
Data Analytics professional with hands-on experience in Python, SQL, Machine Learning, and data visualization. Skilled in data analysis, data extraction, data manipulation, and data interpretation to generate actionable insights. Experienced in EDA, predictive modeling, statistical analysis, and building end-to-end data pipelines. Proficient in creating reports and dashboards using Tableau, Power BI, MS-Excel and deploying ML models into production.
Shri Guru Gobind Singhji Institute of Engineering and Technology
B.Tech · Electronics and Telecommunication Engineering
August 1, 2021 – August 1, 2025
Smt. Nusabai Chopane Uchcha Madhyamik Vidyalaya
Higher Secondary (HSC) · Science
June 1, 2019 – May 1, 2020
Edify System Pvt. Ltd.
Software Developer Intern - Data Analytics & ML Focus
March 1, 2025 – October 1, 2025
India
Poshan Tracker – DBMS Analytics Platform
February 1, 2026 – June 1, 2026
Built a database-driven analytics platform to track, analyze, and forecast beneficiary nutritional data for evidence-based policy planning. Designed a normalized MySQL relational schema; wrote complex SQL queries (JOINS, aggregations, subqueries, GROUP BY) for multi-dimensional reporting and trend analysis.
View ProjectCrop Recommendation System
January 1, 2026 – June 1, 2026
Built a multi-class ML classification model recommending optimal crops using soil parameters (N, P, K, pH) and climatic conditions via supervised learning. Benchmarked Random Forest, Decision Tree, and Naive Bayes with k-fold cross-validation; achieved 95%+ accuracy using ensemble methods and hyperparameter tuning. Deployed model as a Flask REST API for real-time crop recommendations, improving agricultural planning efficiency by 25%.
View ProjectDiwali Sales Analysis
December 1, 2025 – June 1, 2026
Performed end-to-end exploratory data analysis (EDA) on retail sales dataset to uncover customer purchasing patterns, seasonal trends, and high-revenue product categories. Applied data cleaning, aggregation, and GroupBy in Pandas to derive key business KPIs; segmented customers by age, gender, state, and occupation for targeted insights. Delivered actionable recommendations to improve customer experience and increase revenue using bar charts, heatmaps, and pie charts with Matplotlib and Seaborn.
View ProjectLoan Risk Analysis Dashboard
November 1, 2025 – June 1, 2026
Built an end-to-end loan risk prediction dashboard using Logistic Regression and Random Forest to assess credit risk and default probability on real-world financial datasets. Performed EDA – identified key risk features (credit score, income ratio, loan tenure) via correlation heatmaps and feature importance plots; resolved missing values and class imbalance. Visualized risk distribution and approval trends with Matplotlib & Seaborn, delivering data-driven insights to support informed lending decisions.
View Project5-Star HackerRank Certifications in C++ and Python programming languages.
HackerRank
June 1, 2026 – Present
Solved 250+ Data Structures & Algorithms problems across LeetCode, GeeksforGeeks, and HackerRank.
LeetCode
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects demonstrate a diverse application of data science skills across different domains (finance, retail, agriculture, nutrition), indicating adaptability and a broad interest in problem-solving. The focus on practical, impact-driven projects aligns well with a results-oriented culture. The inclusion of HackerRank and LeetCode achievements suggests a proactive and continuous learning mindset. However, the experience level is entry-to-junior, which might require more mentorship in a senior-level team.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to translate technical work into business impact (e.g., 'improving agricultural planning efficiency by 25%', 'reducing manual data analysis efforts by 40%'). The internship experience also highlights problem-solving and efficiency improvements. However, without direct interaction, assessing collaboration, stress handling, or communication style in a team setting is not possible.