Data Analyst with less than a year in Data Analytics & GenAI integration.
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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 and drive strategic corporate decision-making.
Dr. D. Y. Patil Institute of Management & Research, Pune
Master of Computer Applications (MCA) · Computer Applications
August 1, 2024 – Present
MKSS College of Computer Application for Women, Satara
Bachelor of Computer Applications (BCA) · Computer Applications
August 1, 2021 – June 30, 2024
BIZMETRIC
Full Stack+GenAl Intern
January 1, 2026 – April 1, 2026
India
HR Analytics Attrition Dashboard
June 1, 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 1, 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 1, 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 showcase a diverse range of applications (HR, finance, entertainment), indicating adaptability and broad interest in data challenges. The combination of academic background (MCA) and practical project/internship experience aligns well with a data-driven culture. The focus on building full-stack platforms and automated pipelines suggests a proactive and engineering-oriented mindset, which can be a good cultural fit for roles requiring hands-on implementation.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on end-to-end data solutions, from data acquisition (web scraping) and cleaning to analysis and visualization. The internship experience suggests collaboration in enterprise environments and optimization focus. The projects demonstrate problem-solving skills and an initiative to apply various data science techniques.