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Data Analyst with less than a year in data cleaning, predictive modeling & dashboard design.
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Final-year Computer Engineering student with hands-on experience across the full data analytics pipeline: data cleaning and relational modeling in Python/SQL, predictive modeling with scikit-learn, and dashboard design in Power BI and Excel. Comfortable taking a dataset from raw files to a stakeholder-ready insight or model.
Rajiv Gandhi College Of Engineering
Bachelor of Engineering · Computer Engineering
August 1, 2022 – June 30, 2026
Anvistar ITS Pvt. Ltd.
Web Development Intern
November 1, 2024 – December 31, 2024
India
Business Prediction Model: Coffee Shop Analytics
May 1, 2026 – May 31, 2026
• Merged 1,000 coffee shop records with U.S. Census population data across 1,700+ zip codes, engineering features like local coffee shop density and area population. • Trained and tuned Random Forest, Gradient Boosting, and Linear Regression models via GridSearchCV, reaching R2 = 0.46 and MAE = $0.21 with the best model. • Identified median area salary as the dominant driver of latte pricing (94% feature importance), outweighing shop ratings and competitor density.
View ProjectSales Analytics Project
April 1, 2026 – April 30, 2026
• Cleaned and restructured 9,994 retail orders spanning 793 customers and 1,862 products into normalized Customer, Product, and Order tables using Python and Pandas. • Built an interactive Power BI dashboard surfacing $2.3M in tracked sales and $286K in profit across 4 regions and 3 product categories. • Enabled drill-down analysis into customer segments, regional performance, and product profitability for business decision-making.
View ProjectStudent Performance Analysis Dashboard
January 1, 2026 – January 31, 2026
• Cleaned and analyzed 1,000+ student records using Python, Pandas, and NumPy, performing EDA and feature engineering to uncover relationships between demographics, parental education, and test preparation. • Created Matplotlib/Seaborn visualizations to communicate key factors influencing academic performance. • Built an interactive Power BI dashboard to present performance metrics and analytical insights.
View ProjectCultural Fit Analysis
The candidate's academic projects demonstrate a strong interest and foundational skill set in data analysis, which aligns well with a Data Analyst role. The diversity of projects (student performance, coffee shop analytics, sales analytics) shows adaptability and a willingness to apply skills across different domains. The web development internship, while not directly related to data analysis, indicates a broader technical curiosity and ability to learn new technologies. The candidate is still pursuing a Bachelor's degree, suggesting a growth-oriented mindset.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work through the full data analytics pipeline, from data cleaning to visualization and predictive modeling. The web development internship suggests a collaborative mindset and experience in troubleshooting, which are valuable operational skills. However, direct evidence of advanced soft skills like leadership or complex stakeholder management is limited due to the academic nature of projects and intern experience.