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Data Analyst with 1+ years in Power BI, SQL, and Python-based data wrangling.
AI is analyzing your overall score…
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Data Analyst (MCA) with hands-on experience in Power BI dashboard development, SQL ETL pipelines, and Python-based data wrangling. Proficient in DAX query authoring, relational data modelling, and translating business requirements into interactive visualizations. Certified Microsoft Excel Specialist with a strong foundation in Snowflake-compatible SQL, EDA, and automated report generation aligned to enterprise BI standards.
Princeton PG College of IT & Science
Master of Computer Applications (MCA)
January 1, 2023 – January 1, 2025
DATA POINT
Python Data Analyst Intern
January 1, 2025 – Present
India
IPL Data Analysis & Power BI Dashboards
January 1, 2026 – June 1, 2026
Built an end-to-end BI pipeline: CSV ingestion → Python data wrangling → SQL analytical layer → 3 interactive Power BI dashboards with KPI cards, slicers, and drill-through pages. Authored complex DAX measures for KPI calculations; designed star-schema data models with optimized relationships to support concurrent report usage. Analyzed 100,000+ rows across 10+ IPL seasons using advanced SQL (JOINs, window functions, subqueries) to surface performance trends for stakeholder consumption. Conducted full EDA cycle — data profiling, outlier detection, correlation analysis — and automated ingestion scripts, reducing manual data preparation effort.
View ProjectE-Commerce Data Cleaning & ETL Pipeline
January 1, 2026 – June 1, 2026
Designed ETL pipelines in MySQL & PostgreSQL to ingest, validate, and clean 50,000+ records, improving data accuracy across downstream reporting workflows. Engineered normalized schemas with indexing strategies, reducing estimated query execution time by 30% and ensuring data model integrity for reporting layers. Automated preprocessing via modular SQL scripts; produced business-ready reports using SQL aggregations and Excel Pivot Tables to support operational decision-making. Developed robust data quality controls and validation checkpoints, aligning with enterprise-grade data governance and signoff processes.
View ProjectMicrosoft Excel Specialist
Infosys Springboard
January 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects and internship show a focused interest in data analysis, aligning well with the target role. The diversity of projects (e-commerce, sports analytics) indicates adaptability and a broad application of data analysis skills. The mention of collaboration in an internship suggests a team-oriented approach. The certifications and ongoing education further demonstrate a commitment to continuous learning, which is a positive cultural indicator.
Soft Skills & Operational Fit
The candidate demonstrates good operational fit through experience in collaborative team environments and translating business requirements. The project descriptions indicate an understanding of stakeholder needs and the importance of data quality and governance. However, without specific psychometric test results, a deeper assessment of soft skills like stress handling and team collaboration is limited.