Data Science with less than a year in Python, SQL, Power BI, and GenAI.
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Analytical and data-driven MCA graduate with corporate internship experience focused on Data Analytics and GenAI integration. Specializes in engineering automated data pipelines, custom web scraping, and converting complex unstructured datasets into actionable business intelligence using Python, SQL, and Power BI. Expert in performing exploratory data analysis (EDA), statistical modeling, and building interactive dashboard architectures to reveal key data trends to reveal key data trends and drive strategic corporate decision-making.
Dr. D. Y. Patil Institute of Management & Research, Pune
Master of Computer Applications (MCA)
August 1, 2024 – Present
MKSS College of Computer Application for Women, Satara
Bachelor of Computer Applications (BCA)
August 1, 2021 – June 30, 2024
BIZMETRIC
Full Stack+GenAI Intern
January 1, 2026 – April 1, 2026
India
HR Analytics Attrition Dashboard
June 19, 2026 – Present
Designed and deployed an interactive, single-page executive Power BI dashboard evaluating workforce demographics and environmental factors across a corporate dataset of 4,000+ employee records. Aggregated and cleaned disparate HR data sources, engineering 5 high-impact performance metrics influencing company-wide attrition trends to inform data-backed human resource strategies.
Market & Investment Analytics Platform (myFinance)
June 19, 2026 – Present
Built a full-stack investment platform with JWT authentication and real-time market data via yfinance, covering stocks, cryptocurrency, and precious metals. Implemented ML-powered price forecasting using ARIMA and LSTM models; added clustering-based diversification insights and live P&L analysis for portfolio management.
Automated IMDb Web Scraping & Trend Engine
June 19, 2026 – Present
Programmed a resilient, multi-threaded python web crawler using BeautifulSoup to parse raw, unformatted web pages, managing rate-limits and custom pagination parameters. Constructed an automated data-wrangling pipeline via Pandas to structure unstructured data nodes, performing exploratory data analysis to map statistical correlations between business attributes.
View ProjectCultural Fit Analysis
The candidate's projects demonstrate a proactive and self-driven approach to learning and applying diverse data science and full-stack technologies. The range of projects (HR analytics, investment platform, web scraping) shows versatility and an interest in applying data science to different domains. The internship at BIZMETRIC as a Full Stack+GenAI Intern aligns well with a data-driven, innovative environment. However, the lack of team-based project descriptions outside of the internship makes it difficult to fully assess collaboration and broader cultural fit beyond technical contributions.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on end-to-end solutions, from data aggregation and cleaning to dashboard deployment and ML model implementation. The internship experience highlights collaboration and optimization skills. However, without direct assessment, specific soft skills like leadership, advanced problem-solving under pressure, or complex stakeholder management cannot be definitively evaluated.