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Data Analyst
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Aspiring Data Analyst with expertise in data visualization, data wrangling, and statistical analysis. Proficient in SQL, Power BI, and Excel, with hands-on experience in ETL processes and dashboard development. Skilled in transforming data into actionable insights to support data-driven decision-making.
ShriRam Group Of Colleges
Bachelor of Science · Computer Science
August 1, 2022 – June 30, 2026
SR International Consultancy
Recruitment Operations Manager
May 1, 2022 – April 1, 2026
Gwalior, Madhya Pradesh, India
Credit Card Financial Analytics Dashboard
June 24, 2026 – Present
Designed and developed interactive BI dashboards to analyze credit card customer and transaction data. Processed and analyzed 55M+ revenue, 650K+ transactions, and 577M+ income data to generate actionable insights. Performed data cleaning, transformation, and data modeling using Power Query and SQL. Built and tracked key KPIs (Revenue, Transactions, Interest, Customer Acquisition Cost). Conducted customer segmentation and spending behavior analysis to identify high-revenue segments. Created visualizations to monitor revenue trends, quarterly performance, and card usage patterns.
IPL Data Analysis Dashboard
June 24, 2026 – Present
Developed an interactive Power BI dashboard to analyze IPL data from 2008 to 2025 Performed data modeling by integrating match-level and ball-by-ball datasets Created DAX measures to compute KPIs such as total runs, wickets, matches, and team rankings Designed intuitive visuals including player performance (Orange Cap & Purple Cap) and team analysis Implemented slicers and filters for dynamic, season-wise data exploration Analyzed key metrics like fours, sixes, centuries, and points table standings Delivered actionable insights through effective data visualization and dashboard design
Retail Sales Analysis
June 24, 2026 – Present
Cleaned and processed raw sales data using Excel (handled missing values, duplicates, formatting) Imported dataset into MySQL and performed SQL-based analysis Identified top-performing products, regional trends, and loss-making categories Generated business insights using aggregate functions and GROUP BY queries
Cultural Fit Analysis
The candidate's projects demonstrate a proactive approach to learning and applying data analysis skills, indicating a self-starter mentality. The diversity of projects (finance, sports, retail) shows adaptability and a broad interest in applying data analysis to different domains. The candidate's current education in Computer Science aligns with a data-driven culture.
Soft Skills & Operational Fit
The candidate's previous role as a Recruitment Operations Manager suggests organizational skills, attention to detail, and communication abilities, which are transferable to data analysis for managing projects and presenting findings. The resume also lists problem-solving and quick learning as soft skills.