Data Science Projects | Self-Initiated | Ongoing

As a 4th semester Data Science Engineering student, I have actively worked on a range of data projects that have honed my technical and analytical skills. Some of my key experiences include:

Business 360 Analysis: Developed a comprehensive Power BI dashboard to visualize key performance indicators (KPIs) and track business metrics. Leveraged data cleaning and transformation techniques in SQL and Python to ensure accuracy and reliability of insights.

P&L Report Automation: Automated a Profit and Loss (P&L) report using Advanced Excel and SQL to streamline financial analysis for decision-makers. The project included creating dynamic charts and reports to identify trends and support financial forecasting

Atliqo Telecom Data Analysis :Developed a Power BI dashboard for Atliqo Telecom to analyze performance metrics before and after the launch of 5G. The dashboard provided insights into revenue trends, market share, and key KPIs, enabling data-driven decision-making. Delivered visual reports that helped the company assess the impact of 5G on its business growth.

Mitron Bank Credit Card Data Analysis  : Utilized Power BI to analyze a sample dataset of 4,000 customers for Mitron Bank, providing key insights on demographics, income, and expenditure. The analysis guided the strategy team in designing a new line of credit cards tailored to customer needs and market trends.

CodeX Energy drink Survey Analysis using Python : Analyzed consumer survey data for CodeX Energy Drink to uncover insights into demographics, consumption habits, brand perception, and competitor preferences. Delivered actionable recommendations to optimize product development, marketing strategies, and pricing based on data-driven insights.

Through these projects, I have strengthened my problem-solving abilities, improved efficiency in data workflows, and gained a deeper understanding of how to derive actionable insights from complex datasets.