Data Analyst with 5+ years in SQL, Power BI, and Python.
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Data Analyst and 4+ years of professional experience as an Office Executive. Proficient in SQL, Power BI, Python (Pandas, NumPy), and ETL pipelines. Strong foundation in relational database design, dimensional data modeling, KPI development, and stakeholder communication. Certified Data Analyst with a proven track record of transforming raw data into actionable business insights via interactive dashboards and structured management reporting.
M.Sc. Computer Science
M.Sc. · Computer Science
August 1, 2016 – June 30, 2018
B.Sc. Computer Science
B.Sc. · Computer Science
August 1, 2012 – June 30, 2016
Decode Data Academy Certification Program
Data Analyst Trainee
November 1, 2025 – April 1, 2026
India
JKAK Consultants
Office Executive
August 1, 2021 – Present
Bhopal, Madhya Pradesh, India
Digital Payments Fraud Monitoring Analysis
June 1, 2026 – Present
Built an interactive Power BI dashboard to analyze 1 million digital payment transactions and track fraud trends across multiple transaction types. Designed KPI cards and visual summaries to highlight total volume, fraud rate, fraudulent transactions, and fraud amount for quick business decision-making. Applied data modeling and DAX measures to compare transaction patterns, identify high-risk payment methods, and measure fraud concentration. Delivered insights on temporal fraud spikes and outbound money movement risks to support fraud monitoring and control strategies.
View ProjectProfit Performance Database Analysis
June 1, 2026 – Present
Built a profit-focused dimensional data model integrating category, sub-category, and contributor-level data across 10+ product segments. Applied root cause analysis to isolate loss-driving products (Bookcases, Tables), enabling targeted business strategy decisions. Delivered actionable BI insights identifying high-performing vs. loss-making segments to directly inform management recommendations.
View ProjectCall Center Performance Analysis Dashboard
June 1, 2026 – Present
Analyzed 5,000+ call records to assess operational efficiency and customer support performance, achieving a 73% resolution rate. Built interactive dashboards to monitor agent productivity, call resolution, and CSAT trends, enabling clear visibility into team performance. Identified top and low-performing agents using KPI analysis, helping support performance recognition, coaching, and workforce improvement decisions. Performed call category analysis across Admin Support, Contract, Payment, and Streaming issues to uncover high-volume request patterns and service bottlenecks.
View ProjectSuperstore Sales Database & Performance Analysis (2014-2019)
January 1, 2014 – December 31, 2019
Structured 5-year multi-segment sales data into analytical tables supporting trend analysis for 3 customer segments and 4 geographic zones. Developed Power BI dashboards highlighting yearly sales growth, regional performance, and customer segmentation. Identified revenue growth from Rs. 0.48M (2014) to Rs. 0.73M (2017) – a 52% increase – using time-series analysis to project future sales.
View ProjectBasic Computer Applications and MS Office
Unknown
June 1, 2026 – Present
Data Analyst Certification
Decode Data Academy
April 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, including fraud monitoring, sales analysis, profit performance, and call center analysis, indicates a broad interest in applying data analysis across various business domains. Their certification and trainee experience show a proactive approach to skill development, aligning with a growth-oriented culture. The current role as an Office Executive, while not directly a Data Analyst role, highlights a foundational understanding of data handling and organization, which can be a valuable asset.
Soft Skills & Operational Fit
The candidate demonstrates strong analytical thinking, attention to detail (evidenced by 90% data integrity in office records), and stakeholder communication skills. Their experience in managing structured records and supporting senior staff suggests good organizational and operational fit for roles requiring data management and reporting.