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Data Analyst with 2+ years in Data Analysis & Business Intelligence
Results-driven B.Com graduate with hands-on expertise in data analysis, business intelligence, and data visualization. Proficient in SQL, Python, Power BI, and Tableau with proven ability to transform raw data into actionable business insights. Strong commerce background combined with technical data skills to bridge business strategy and analytics. Experienced in designing end-to-end analytical solutions including exploratory data analysis, interactive dashboards, and statistical modelling. Seeking an entry-level Data Analyst role to contribute to data-driven decision-making and organizational growth.
Jagran College
Bachelor of Commerce (B.Com)
January 1, 2022 – January 1, 2025
JobEx Staffing
Data Analyst Intern
January 1, 2024 – January 1, 2025
Kanpur, Uttar Pradesh, India
Sales Performance Dashboard
January 1, 2025 – January 1, 2025
Developed an interactive Power BI dashboard integrating data from multiple sources (CSV, Excel, SQL databases) to monitor 20+ sales KPIs including revenue trends, growth rates, and performance metrics. Implemented data transformation and cleaning processes; created optimized data models ensuring dashboard performance and scalability. Built drill-through reports and slicers enabling business stakeholders to analyse revenue by region, product category, sales representative, and time period. Applied advanced DAX formulas and calculations to compute month-over-month (Moms) growth %, year-to-date (YTD) sales, customer lifetime value (CLV), and product profitability. Created customer segmentation analysis and trend forecasting visualizations; reduced manual reporting time by 30% and enabled real-time decision-making for management.
Cricket Analysis Project: IPL Ball-by-Ball Data Analysis
January 1, 2024 – January 1, 2025
Designed and executed comprehensive SQL queries on 200,000+ records of IPL match data to extract player batting statistics, bowling performance, and team trends across multiple seasons. Analysed cricket metrics including batting averages, strike rates, bowling economy rates, and wicket data; identified top performers and underperformers across different venues. Leveraged Python (Pandas, NumPy) to perform exploratory data analysis (EDA), data aggregation, and statistical analysis; created visualizations for performance trends and player comparisons. Conducted venue-specific analysis to understand pitch conditions, team performance variations across grounds, and seasonal trends in IPL matches. Generated actionable insights for team selection strategy, player performance evaluation, and match outcome prediction based on historical data patterns.
Data Analysis and Visualization Fundamentals
Unknown
June 1, 2026 – Present
Power BI Certification
Avika Technology
March 1, 2025 – Present
Cultural Fit Analysis
The candidate's projects demonstrate a proactive approach to learning and applying data analysis skills to diverse domains (sports analytics, sales performance). Their internship experience shows collaboration and stakeholder engagement, which are positive indicators for cultural fit in a team-oriented environment. The breadth of tools (SQL, Python, Power BI, Tableau) and analytical techniques suggests adaptability and a willingness to acquire new skills. The B.Com background combined with technical skills indicates a strong business acumen, which is valuable for understanding business context in data analysis.
Soft Skills & Operational Fit
The candidate explicitly lists Analytical Thinking, Problem Solving, Team Collaboration, Business Acumen, and Communication as soft skills. Their project descriptions and internship experience indicate collaboration with cross-functional teams and translating business requirements, suggesting a good operational fit for roles requiring teamwork and stakeholder interaction. The focus on generating actionable insights aligns well with business-oriented data analysis roles.