

Entry-level Data Analyst with hands-on experience in Excel, SQL, Python, and Power BI through practical analytics projects. Skilled in data cleaning, reporting, dashboard creation, and extracting actionable business insights. Strong analytical mindset with the ability to support MIS reporting, business analysis, and decision-making. Actively seeking a Junior Data Analyst / MIS / Reporting role.
• Focused on transitioning into data analytics by studying and applying Excel, SQL, and Power BI to real business scenarios.
• Worked on data cleaning, reporting, and dashboard creation to analyze sales performance and operational KPIs.
• Analyzed business data related to revenue, expenses, customer behavior, and trends for decision-making.
• Applied analytical thinking to improve understanding of business operations and performance tracking.
• Developed strong reporting, documentation, and problem-solving skills through hands-on practice and projects.
• Managed day-to-day business operations, sales tracking, and inventory planning.
• Maintained Excel-based records for revenue, expenses, and profitability analysis.
• Analyzed customer demand patterns and seasonal sales trends.
• Coordinated with vendors and supported cost and pricing decisions.
Python (pandas, numpy, matplotlib)
AI - DATA ENGINEER
AI - DATA ENGINEER
1). REAL ESTATE PROJECT (EXCEL)
Residential Real Estate Sales & Profit Analysis(Excel)
Analyzed residential property sales data using Excel to evaluate pricing, profitability, and sales cycles.
Used pivot tables and charts to identify high-performing cities, property types, and average price trends.
Focused on business insights to support real estate investment and pricing decisions.
2).STOCK MARKET PROJECT (POWER BI)
Stock Market Performance & Trend Analysis Dashboard(Power BI)
Built an interactive Power BI dashboard to analyze stock price trends, trading volume, and sector performance.
Visualized daily price movements and volatility to support data-driven investment analysis.
Enabled stock comparison and trend filtering through dynamic visuals.
3). SHARK TANK INDIA PROJECT (SQL)
Shark Tank India 4 Season's - Startup Funding & Deal Analysis (SQL)
Performed SQL-based analysis on Shark Tank India Season 4 startup data to study funding patterns and deal outcomes.
Analyzed valuations, equity distribution, and investor participation using SQL joins and aggregations.
Generated structured insights to understand industry-wise and investor-wise funding trends.