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Data Analyst with 1+ years in Python & Power BI
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Data Analyst skilled in data cleaning, exploratory data analysis (EDA), and dashboard development Proficient in Python, Power BI, and SQL for data analysis and visualization Experienced in analyzing large datasets to extract actionable insights Strong ability to build interactive dashboards for business decision-making Knowledge of data visualization, statistical analysis, and business problem-solving Focused on leveraging Al tools and data for data-driven decision-making and performance improvement
Vidya Vikas Education Society's VIKAS COLLEGE
B.Sc INFORMATION TECHNOLOGY · Information Technology
August 1, 2022 – June 30, 2025
IPL Data Analysis (EDA)
January 1, 2025 – June 1, 2026
Analyzed 750+ IPL matches to identify team performance and match trends Cleaned and processed data (null handling, duplicates, feature engineering) Built visualizations (bar, line, heatmap) to uncover key insights Identified top teams/players and found ~52% win probability when toss is won
View ProjectInteractive-KPI-Tracker
January 1, 2025 – June 1, 2026
Delivered real-time insights on 4+ key metrics (Revenue, Customers, CAC, Targets), reducing manual reporting time by 30% Designed a dynamic, interactive Excel dashboard to track quarterly sales, revenue, customer growth, and acquisition costs. Leveraged GitHub for version control and project management, ensuring reproducibility and collaboration.
View ProjectSales & Customer Insights Dashboard
January 1, 2025 – June 1, 2026
Developed a multi-page dashboard analyzing 10,000+ records of sales and customer data Built KPI metrics (Sales, Profit, Quantity) with MTD, YTD, YoY analysis Created slicers and drill-through enabling dynamic filtering across multiple dimensions
View ProjectCultural Fit Analysis
The candidate's academic projects show a good alignment with the Data Analyst role, covering key areas like data cleaning, EDA, visualization, and business analysis. The diversity of tools used (Python, Power BI, Excel, SQL) indicates a willingness to learn and adapt to different technologies. The focus on practical applications like sales and customer insights, and IPL data analysis, suggests an interest in deriving business value from data. However, the lack of professional experience makes it challenging to assess cultural fit beyond technical alignment and project diversity.
Soft Skills & Operational Fit
The candidate demonstrates a proactive approach to learning and applying data analysis techniques through academic projects. The use of GitHub for version control indicates an understanding of collaborative development practices. The focus on reducing manual reporting time and delivering real-time insights suggests a results-oriented mindset. However, without professional experience or psychometric test results, it's difficult to fully assess operational fit, stress handling, or team collaboration in a professional setting.