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Data Science with 1+ years in SQL, Power BI & Data Analysis
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Assessing your cultural and operational fit
Data-driven Investigation Specialist with a Bachelor's in Commerce (Computer Applications) and 1.3 years of experience at Amazon, consistently achieving high-quality scores. Skilled in Python, SQL, Power BI, and data analysis, with a proven track record in financial claims investigation, process improvement, and mentoring. Successfully led projects in flight price and customer behavior analysis, demonstrating strong analytical and problem-solving abilities.
St. Mary's College
Bachelor of Commerce (Computer Applications) · Computer Applications
October 1, 2021 – June 1, 2024
Amazon
Investigation Specialist
November 1, 2024 – February 1, 2026
Hyderābād, Telangana, India
Flight Price Analysis
June 16, 2026 – Present
Engineered and cleaned a 10,683-record Indian domestic flight dataset by handling null values, standardizing categorical labels, and transforming datetime/duration fields into numerical features using pandas. Conducted exploratory data analysis and developed KPI-driven visualizations to analyze airline pricing, route demand, seasonality, flight duration, and stop-based fare trends using pandas groupby operations and Matplotlib charts.
View ProjectCustomer Shopping Behavior Analysis
June 16, 2026 – Present
Engineered and analyzed a 3,900-record retail transaction dataset by performing data cleaning, missing value imputation, feature engineering, and PostgreSQL integration to uncover customer segmentation, subscription behavior, discount dependency, and revenue trends across demographics and product categories. Developed an interactive Power BI dashboard with KPI cards, slicers, and category/age-group visualizations, enabling data-driven business recommendations for loyalty programs, targeted marketing, subscription growth, and product positioning.
View ProjectLeetCode SQL 50 Badge
LeetCode
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, covering customer behavior and flight price analysis, indicates a broad interest in applying data science techniques to different domains. Their experience at Amazon, a large tech company, suggests an ability to work in structured environments with high performance expectations. The 'Best Outgoing Student Award' and 'Hall of Fame' recognition point to a driven and achievement-oriented individual. The target role of Data Science aligns well with the technical skills demonstrated in projects, particularly in data analysis, visualization, and SQL.
Soft Skills & Operational Fit
The candidate demonstrates strong analytical thinking, problem-solving, and stakeholder communication skills through project descriptions and their role at Amazon. Their experience mentoring new hires and collaborating with cross-functional teams suggests good operational fit and a proactive approach to process improvement. The Amazon role also highlights a focus on quality and efficiency, which are valuable operational traits.