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Data Science with 2+ years in Python, SQL & Power BI
AI is analyzing your overall score…
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Detail-oriented Information Technology undergraduate with hands-on experience in data analysis and visualization. Proficient in Python, SQL, and Power BI, with practical experience in data cleaning, transformation, and dashboard development. Skilled in using Pandas, NumPy, and Matplotlib for exploratory data analysis. Familiar with MySQL for handling large datasets. Built projects involving real-time data processing and insights generation. Eager to apply analytical and problem-solving skills to drive data-driven decision-making.
Shri Vaishnav Vidyapeeth Vishwavidyalaya, Indore
Bachelor of Information Technology
August 1, 2022 – June 30, 2026
Intellia tech
Data Science Intern
January 1, 2024 – Present
India
Indian Used Car Market Intelligence Platform
January 1, 2024 – June 1, 2026
Developed end-to-end analytical solution examining Indian used car market using dataset of 6,000+ vehicles with detailed specifications and pricing information across regions. Performed feature engineering extracting 20+ insights from engine specifications, cleaned regional price variations, identified market anomalies improving data quality by 45%. Interactive Power BI dashboard visualizing depreciation trends, manufacturer market share, and impact of fuel type/transmission on resale value across 15+ major cities. Implemented advanced DAX measures generating real-time insights, resulting in 20% improvement in vehicle valuation accuracy for dealership partners.
Coffee Chain Performance Analytics Dashboard
January 1, 2024 – June 1, 2026
Engineered comprehensive analytical solution analyzing financial & operational metrics for national coffee chain across 50+ locations with 2+ years of historical data. Performed advanced ETL using SQL and Pandas, cleaning 100,000+ records and calculating critical KPIs: profit margins, COGS variance, and budget forecasting with 98% accuracy. Created interactive Power BI dashboard with 8+ dynamic filters, revealing 15% improvement opportunity in operational efficiency and enabling management to increase regional profits by 12%.
Power BI Essentials - Hands-on visualization and DAX expertise
Unknown
June 1, 2026 – Present
Cloud Computing – NPTEL
NPTEL (National Programme on Technology Enhanced Learning)
June 1, 2026 – Present
Advanced SQL & Database Optimization – Demonstrated through production query performance improvements
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate initiative and a proactive approach to learning and applying data science concepts. The focus on business-oriented outcomes (e.g., increasing profits, improving valuation accuracy) suggests an alignment with results-driven environments. The breadth of tools and technologies used (Python, SQL, Power BI, various databases) indicates adaptability and a willingness to acquire new skills, which is positive for cultural fit in dynamic teams. However, the experience is primarily academic and internship-level, so further assessment of collaboration and independent work in a professional setting would be beneficial.
Soft Skills & Operational Fit
The candidate's resume highlights a detail-oriented approach and problem-solving skills. The project descriptions indicate an ability to translate data into actionable insights and improve operational efficiency. The internship experience shows a capacity for reducing inconsistencies and improving reporting accuracy, suggesting a strong operational fit for roles requiring meticulous data handling and impactful reporting.