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Data Analyst with 3+ years in Power BI & SQL
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Data Analyst with 3.5+ years at Tata Consultancy Services owning analytics delivery across credit card sales, revenue intelligence, and workforce domains. Hands-on expertise in Power BI (DAX, RLS, star schema), Python (Pandas, NumPy), and SQL, with a track record of cutting reporting overhead by 40%, accelerating executive decision cycles by 20%, and eliminating pipeline bottlenecks at enterprise scale. Seeking a BI Analyst or Power BI Developer role to take full ownership from raw source to business insight.
College of Engineering and Management, Kolaghat
Bachelor of Engineering · Computer Science
August 1, 2018 – June 30, 2022
TCS
Data Analyst
July 1, 2022 – Present
Bengaluru, Karnataka, India
Customer Churn Analysis
June 22, 2026 – Present
Pinpointed top 5 churn drivers (contract type, tenure, monthly spend) through EDA, with insights shaping a retention campaign targeting the highest-risk segment. Resolved cross-segment inconsistencies in raw customer records using SQL and Power Query before analysis. Developed a Power BI dashboard with churn-rate KPIs, segment drill-through, and at-risk customer filters for business review.
HR Analytics Dashboard
June 22, 2026 – Present
Identified that sales department attrition ran 40% above company average via Python and SQL analysis, directly triggering a targeted HR review. Unified fragmented HR source files through Power Query, producing a single clean dataset for workforce analysis. Delivered department-level attrition, hiring trend, and headcount distribution reports in Power BI, reducing ad-hoc HR queries by approximately 30%.
Credit Card Sales & Revenue Analytics
February 1, 2025 – June 1, 2026
Architected ETL pipelines in Python (Pandas, NumPy) to ingest and standardize credit card sales feeds from multiple sources, reducing inconsistency rate by 30% across 500K+ records. Ran EDA on 12 months of transaction and revenue data to uncover seasonality trends and customer spend patterns, with findings adopted directly in quarterly business planning. Rewrote 15+ legacy SQL queries using CTEs and window functions, cutting average execution time by 25%, and unblocking daily analyst bottlenecks. Automated 8 recurring reports run via Python scheduling, freeing 12 hours per week previously spent on manual consolidation. Delivered 5+ executive Power BI dashboards with DAX measures and KPI cards, eliminating 3 weekly manual Excel reports and reducing leadership review time by 20%.
Sales Performance & Business Intelligence Automation
January 1, 2024 – December 1, 2024
Replaced 6 manual Excel-based processes with Python and Power Query pipelines, cutting end-to-end report turnaround by 40%. Built multi-page Power BI dashboards covering sales performance, revenue trends, and regional KPIs, adopted as the primary reporting layer for senior stakeholders replacing all static outputs. Unified 5 heterogeneous sources into a single star schema Power BI model, improving accuracy by 25% and enabling near real-time visibility for operations. Optimized SQL and Pandas transformation scripts, reducing per-cycle preparation time from 3 hours to under 45 minutes.
Power Automate Desktop Automation
October 1, 2022 – November 1, 2023
Engineered Power Automate Desktop flows connecting SAP exports to downstream Excel processes, cutting cycle time from 4+ hours to under 30 minutes. Automated consolidation, validation, and scheduled report generation tasks, recovering approximately 8 hours of manual effort weekly across the operations team. Enforced secure credential management and role-based access within all flows, satisfying enterprise audit and governance requirements. Authored end-user documentation and conducted handover training for 10 team members, with zero post-deployment escalations recorded.
PL-300: Microsoft Power BI Data Analyst Associate
Microsoft
June 1, 2026 – Present
Python A to Z
Udemy
June 1, 2026 – Present
Python for Machine Learning
Udemy
June 1, 2026 – Present
Salesforce AI Associate
Salesforce
June 1, 2026 – Present
Salesforce Agentforce Specialist
Salesforce
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, covering credit card sales, revenue analytics, sales performance, HR analytics, and customer churn, indicates adaptability and a broad interest in applying data analysis across different business domains. Their experience in automating processes and delivering actionable insights suggests a proactive and results-oriented approach, which generally aligns well with dynamic team environments. The certifications in Power BI and Python further demonstrate a commitment to continuous learning and skill development.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving skills through identifying and resolving data inconsistencies, optimizing query performance, and automating manual processes. Their ability to deliver executive dashboards and conduct stakeholder reporting indicates good communication and presentation skills. The focus on reducing manual effort and improving efficiency aligns well with operational excellence.