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Data Analyst with less than a year in Python, SQL & Power BI
Data Analyst with hands-on experience in Python, SQL, and Power BI, specializing in EDA, ETL pipeline development, and interactive dashboard reporting. Delivered end-to-end analytics projects including e-commerce sales analysis across 100,000+ order records and a machine learning-based fraud detection system. Experienced in human-in-the-loop ML workflows via AWS SageMaker and proficient in Scikit-learn for classification and regression modelling. Skilled at translating raw datasets into business intelligence reports and KPI dashboards that drive data-driven decision-making.
D.Y. Patil Institute of Management and Research, Pune
MBA · Digital Marketing
August 1, 2022 – June 30, 2024
H.V. Desai College, Pune
BBA · Computer Applications
August 1, 2019 – June 30, 2022
HanDigital Solutions
Process Associate – AI Data Evaluation
June 1, 2024 – October 1, 2024
Pune, Maharashtra, India
Credit Card Fraud Detection
June 1, 2026 – Present
Built and compared classification models including Logistic Regression and Random Forest on an imbalanced transaction dataset to detect fraudulent activity. Evaluated model performance using Precision, Recall, and F1-score, optimizing for minimal false negatives in fraud identification. Applied resampling techniques to handle class imbalance, improving minority-class recall in fraud detection model evaluation. Designed an interactive Power BI dashboard displaying transaction risk distribution and flagged transaction details for stakeholder reporting.
Sales Data Analysis – EDA Project
June 1, 2026 – Present
Analyzed 10,000+ sales records to identify trends, seasonal patterns, and outliers using exploratory data analysis techniques. Performed data cleaning and transformation of raw datasets, handling missing values and inconsistent formats for reliable reporting. Built visual reports using Matplotlib and Seaborn to communicate findings and support data-driven decision-making.
Olist E-Commerce Sales Analysis
June 1, 2026 – Present
Analyzed 100,000+ order records from the Brazilian Olist dataset covering customers, payments, reviews, and seller performance across multiple relational tables. Developed ETL pipeline using Pandas including null handling, type casting, and feature extraction to prepare a production-quality dataset for analysis. Wrote SQL queries to identify top revenue categories, delivery delay patterns, and customer behavior signals for business intelligence reporting. Built a multi-page Power BI dashboard tracking KPIs — revenue trends, order status, CSAT scores, and regional delivery performance.
Advanced Excel
IIC
June 1, 2026 – Present
Google Advanced Data Analytics Certificate
Coursera
June 1, 2026 – Present
Data Analytics
AccioJob
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, including e-commerce sales analysis, fraud detection, and general EDA, shows a broad interest in applying data analysis across different domains. The role as 'Process Associate – AI Data Evaluation' aligns with data quality and ML operations, which is relevant to a Data Analyst role, especially in companies leveraging AI. However, the limited professional experience (4 months) and the 'Process Associate' title suggest a more junior operational role rather than a senior analytical one. The certifications and ongoing education indicate a proactive approach to skill development, which is a positive cultural trait.
Soft Skills & Operational Fit
The candidate's experience in reviewing and validating AI-generated responses, flagging edge cases, and maintaining QA benchmarks suggests strong attention to detail and a methodical approach to data quality. Their project work indicates an ability to work independently on end-to-end analytics projects, from data preparation to visualization. The MBA in Digital Marketing could provide a business-oriented perspective to data analysis.