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Data Analyst with less than a year in SQL, Python & Power BI
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Results-driven Data Analyst with hands-on experience in fraud detection and transactional risk analysis at Amazon, processing 10K+ transactions daily. Proficient in SQL, Python, Power BI, and Tableau to analyze large-scale datasets and deliver actionable business insights. IBM Certified in Data Science with a proven track record of building dashboards, classification models, and KPI frameworks. Adept at data validation, quality checks, stakeholder collaboration, and translating complex data into business decisions.
ISBR Business School, Bangalore
PGDM · Business Analytics & Marketing
August 1, 2022 – June 30, 2022
Learnvista Pvt. Ltd.
Data Analytics Trainee
January 1, 2026 – Present
India
Amazon
Transaction Risk Investigator
October 1, 2023 – April 1, 2024
India
Agile Capital Services
Marketing Intern
December 1, 2022 – February 1, 2023
India
Insurance Claims & Fraud Analytics Dashboard
June 1, 2026 – Present
Developed a Power BI dashboard analysing 50K+ claims records — tracked approval rates, fraud indicators, and claim frequency KPIs. Transformed and validated multi-source data via SQL and Power Query, improving data consistency and reliability of reporting. Built 10+ DAX measures for KPIs; identified high-risk claim segments and anomaly patterns to support fraud detection.
Customer Behaviour Analysis – Bank Marketing Campaigns
June 1, 2026 – Present
Analysed 45K customer records to identify key drivers of term deposit subscription using EDA and statistical analysis. Built a Python classification model (ROC-AUC ~0.78) to predict customer conversion; improved subscriber identification by ~30–40%. Increased campaign conversion rates from ~11% to ~18–22% via targeted segmentation and data-driven insights.
Sales Performance Dashboard
June 1, 2026 – Present
Built an interactive Power BI dashboard analysing 1M+ sales records across regions and product categories. Tracked KPIs: monthly revenue, growth rate, and top-performing products; identified 15–20% sales decline in underperforming regions.
IBM Data Science Professional Certificate
IBM / Coursera
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, including insurance claims, customer behavior, and sales performance, indicates a broad interest in applying data analytics across different business domains. The IBM Data Science Professional Certificate and PGDM in Business Analytics & Marketing show a commitment to continuous learning and skill development. The experience as a trainee and intern, coupled with a full-time role at Amazon, suggests adaptability and a proactive approach to career growth. The target role of Data Analyst aligns well with the candidate's demonstrated skills and project experience.
Soft Skills & Operational Fit
The candidate's experience at Amazon as a Transaction Risk Investigator suggests strong analytical, problem-solving, and attention-to-detail skills, crucial for operational roles. Collaboration with stakeholders and delivering ad-hoc analysis under tight deadlines indicate good operational fit and ability to work in a fast-paced environment. The project descriptions are clear and quantify impact, suggesting good communication of technical work.