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Data Analyst with 1+ years in data analysis, reporting, and dashboard creation.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Analytically trained professional combining hands-on data experience with a rigorous quantitative foundation built through intensive competitive examination preparation - covering Statistics, Data Interpretation, Mathematics, and Analytical Reasoning. Skilled in Advanced Excel, Power BI, SQL, and Google Sheets for data collection, analysis, reporting, and dashboard creation. Proven ability to manage 50,000+ records with 99%+ accuracy, automate reporting workflows, and deliver actionable insights that support smarter business decisions. Microsoft, IBM, and JP Morgan Chase certified.
Khalisani Mahavidyalaya, University of Burdwan
Bachelor of Commerce · Accounting & Finance
August 1, 2021 – June 30, 2021
Fusion CX (Window Technologies Pvt. Ltd.)
Sales Analytics & Reporting Associate - NAPS Apprentice
May 1, 2022 – November 1, 2022
Kolkata, West Bengal, India
E-Commerce Sales Performance Dashboard
May 1, 2025 – Present
• Designed a full ETL pipeline (CSV → SQL/Power Query → star schema) on a $100K+ transactional dataset, reducing report refresh time by 30% and enabling real-time business insights. • Built DAX-driven Power BI dashboards across 5+ performance dimensions, identifying top-performing SKUs and underperforming segments – enabling data-driven inventory and sales strategy decisions. • Delivered interactive reports and visualizations to simulate stakeholder-ready business intelligence, showcasing ability to interpret complex datasets and communicate findings clearly.
Telco Customer Churn Analysis
May 1, 2025 – Present
• Collected and analyzed 7,000+ customer records end-to-end, achieving <2% null rate through rigorous data cleansing and validation – ensuring accuracy across the full analytical pipeline. • Identified high-risk churn segments (month-to-month contracts, charges >$65) via statistical segmentation, modelling a 10-15% revenue recovery opportunity through targeted retention strategies. • Created trend and pattern analysis reports with actionable visualizations, translating complex findings into clear business recommendations aligned with data-driven decision-making frameworks.
Microsoft Certified - Data Analysis and Visualization with Power BI
Microsoft
June 1, 2026 – Present
IBM Certified - Databases and SQL for Data Science with Python
IBM
June 1, 2026 – Present
IBM Certified - Python for Data Science & AI
IBM
June 1, 2026 – Present
IBM Certified - Excel for Data Analysis
IBM
June 1, 2026 – Present
JP Morgan Chase & Co. - Data Analytics Virtual Experience Program (Forage)
JP Morgan Chase & Co.
June 1, 2026 – Present
Cultural Fit Analysis
The candidate shows a strong drive for self-improvement and learning through numerous certifications and personal projects. Their background in competitive examinations indicates a disciplined and goal-oriented mindset. The project diversity (e-commerce, telco churn) and the range of tools used (Excel, Power BI, SQL, Python) suggest adaptability and a broad interest in data analytics applications. The NAPS apprenticeship indicates a willingness to engage in structured learning programs.
Soft Skills & Operational Fit
The candidate demonstrates strong attention to detail, structured problem-solving, and time-bound decision-making, which are crucial for data quality and reliable insights. Their experience in a high-volume BPO environment suggests an ability to work under pressure and collaborate cross-functionally. The emphasis on clear communication of findings aligns well with operational needs for data-driven decision-making.