Data Analyst with less than a year in data analysis, KYC, and AML, proficient in MS Excel, SQL, and
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Assessing your cultural and operational fit
Highly detail-oriented and analytical professional with expertise in data analysis, KYC, and AML. Proficient in MS Excel, SQL, and Power BI, with a strong background in data visualization and reporting. Proven ability to work effectively in a team environment, with excellent communication and problem-solving skills. Eager to leverage my skills in a fast-paced compliance and risk management setting.
PSCMR Collage of Engineering & Technology
B. Tech
August 1, 2021 – June 30, 2025
Krishnaveni Jr Collage
Intermediate MPC
June 1, 2021 – May 31, 2021
Loyola High School
SSC General
June 1, 2019 – May 31, 2019
E-Commerce Sales Analysis
June 21, 2026 – Present
Analyzed sales data of an online store to understand revenue trends and product performance. Identified monthly and yearly sales trends, category-wise and product-wise revenue, and developed recommendations for inventory management and pricing strategies. Developed a data visualization dashboard using Power BI, providing stakeholders with real-time insights into sales performance and customer behavior. Built a Python script to automate data extraction and processing, reducing manual effort and improving data accuracy. Collaborated with cross-functional teams to implement data-driven recommendations, resulting in improved sales and customer satisfaction.
Customer Churn Analysis
June 21, 2026 – Present
Studied customer behavior data to identify why customers stop using a service. Conducted a comprehensive analysis of customer churn data, identifying key drivers and developing recommendations for retention strategies. Developed a SQL query to extract and process customer data, enabling data-driven decision making and process improvements. Built a data visualization report using Matplotlib, providing stakeholders with actionable insights into customer behavior and preferences. Collaborated with the product team to implement data-driven recommendations, resulting in improved customer satisfaction and retention.
Marketing Campaign Performance Analysis
June 21, 2026 – Present
Evaluated digital marketing campaigns to understand which campaigns perform best. Designed and implemented a data analysis solution to evaluate marketing campaign performance, resulting in improved ROI and informed marketing decisions. Built and maintained complex Excel models to analyze campaign data, identifying high-performing channels and areas for improvement. Optimized data visualization reports using Power BI, providing stakeholders with actionable insights and recommendations. Integrated multiple data sources using SQL, enabling data-driven decision making and process improvements.
Cultural Fit Analysis
The candidate's projects demonstrate a proactive approach to data analysis in various business contexts (e-commerce, customer retention, marketing). The stated eagerness to leverage skills in a fast-paced compliance and risk management setting suggests a good alignment with dynamic work environments. The diversity of projects indicates adaptability and a broad interest in applying data analysis to different business problems, which is a positive for cultural fit.
Soft Skills & Operational Fit
The candidate highlights strong communication and problem-solving skills, and an ability to work effectively in a team environment. The project descriptions indicate collaboration with cross-functional teams, which aligns with operational fit. However, without specific behavioral assessment data, the depth of these soft skills cannot be fully validated.