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Data Analyst with 1+ years in Power BI, SQL & Python for Data Analysis and Reporting Automation
Data Analyst with proven experience delivering measurable business outcomes reducing stakeholder report review time by 30% and cutting manual report preparation from 4 hours to under 1 hour through automation. Proficient in Power BI, DAX, SQL (MySQL), Python (Pandas, NumPy, Matplotlib, Seaborn), and Excel with hands-on expertise in star schema data modelling, exploratory data analysis (EDA), and fraud pattern detection. Delivered end-to-end analytics solutions across sales, road safety, revenue, and banking domains using datasets of 50,000+ rows with 98%+ reporting accuracy.
Pace Institute of Technology & Sciences
Bachelor of Technology (B.Tech) · ECE
N/A – June 30, 2024
FYNNZO, Maxxo Technologies
Data Analyst
January 1, 2025 – Present
India
TopDataWorks
Power BI Developer - YouTube Analytics
January 1, 2024 – December 31, 2024
India
Banking Customer Analysis & Insights
June 18, 2026 – Present
Ingested and transformed raw banking datasets using Python (Pandas, NumPy) for exploratory data analysis (EDA). Normalised database tables in SQL and scaled numeric fields in Excel to improve data consistency and comparability. Integrated Python with SQL stored procedures to automate data retrieval and streamline the analysis pipeline. Built visual analyses using Matplotlib and Seaborn to identify and communicate fraud patterns within customer transaction data.
View ProjectRoad Accident Analysis Dashboard
June 18, 2026 – Present
Engineered an interactive Power BI dashboard to analyse road accident trends, casualty severity, vehicle types, road conditions, and location-based patterns across urban and rural areas. Built KPI cards tracking Total Accidents, Total Casualties, and Fatal/Serious/Slight Casualty breakdowns, enabling data-driven road safety decision-making. Developed dynamic DAX measures and interactive slicers to support day-wise, month-wise, and vehicle-category trend analysis. Identified high accident-prone road conditions and compared urban vs. rural accident distributions to surface actionable safety insights.
View ProjectSales Performance Dashboard
June 18, 2026 – Present
Cleansed and structured sales data in Excel, ensuring dataset integrity prior to modelling and visualisation. Architected a star schema data model to optimise report performance and enable efficient DAX calculations. Designed intuitive layouts with bookmarks, drill-throughs, and conditional formatting to streamline user navigation and insights delivery. Developed interactive dashboards to analyse sales trends, category performance, and year-over-year growth using dynamic slicers and advanced visualisations.
View ProjectData Analytics
Entri Elevate & National Skill Development Corporation (NSDC)
May 1, 2025 – November 1, 2025
Data Analytics
Entri Elevate in collaboration with Illinois Tech, USA
March 1, 2025 – Present
Cultural Fit Analysis
The candidate's project diversity (road accidents, sales, banking) and experience across different companies (FYNNZO, TopDataWorks) suggest adaptability and a broad interest in applying data analysis skills. The focus on delivering measurable business outcomes and efficiency gains aligns well with performance-driven cultures. The listed certifications also show a commitment to continuous learning and skill development.
Soft Skills & Operational Fit
The candidate demonstrates strong analytical thinking, attention to detail, and data storytelling abilities through their project descriptions. Their experience in stakeholder communication and report automation indicates a good operational fit for roles requiring efficient data delivery and insight presentation.