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Data Analyst with less than a year in data analysis, ETL, and Power BI dashboard development.
MBA graduate in Business Analytics (9.7/10 CGPA, SRM University) with hands-on experience across the full analytics cycle from wrangling raw data to delivering dashboards and insights that drive real business decisions. Interned across media analytics and financial reporting, where I maintained 95%+ data accuracy, identified underutilised revenue opportunities through Power BI, and led a five-member intern team to 100% on-time delivery. Outside internships, built an end-to-end Bank loan risk prediction model achieving 91.3% AUC-ROC an experience that sharpened both my technical skills and my ability to translate complex outputs into clear recommendations for stakeholders. Proficient in SQL, Python, R, Advance Excel, Power BI for automation. Self-motivated, detail- oriented, and genuinely excited about the kind of analytical work that helps organisations make smarter, faster decisions.
SRM University
MBA · Business Analytics
N/A – June 30, 2026
Bishop Heber College (Bharathidasan University)
B.Com · Business Analytics
N/A – June 30, 2024
Inditronics Technology Pvt. Ltd.
Data Analyst Intern
June 1, 2025 – September 1, 2025
Pune, Maharashtra, India
6Pro Print Pvt. Ltd.
Data Analyst Intern
June 1, 2023 – August 1, 2023
India
Non-Performing Assets (NPA) Risk Prediction Model
June 1, 2025 – December 1, 2025
Produced a clean, analysis-ready loan dataset from 1,000+ multi-segment records by executing end-to-end ETL - Python (Pandas, NumPy) for transformation and Excel Power Query for validation - removing null values, outliers, and encoding inconsistencies, resulting in a standardised data pipeline ready for downstream modelling. Identified segment-level repayment-risk patterns across five economic cycles by conducting advanced EDA and feature engineering - computing rolling ratios, lag features, and inter-segment correlations on multi-period loan data, resulting in ten high-signal predictive features that improved model discrimination by reducing false-negative risk exposure. Achieved 91.3% AUC-ROC, 93% F1-score, and 100% recall on NPA detection by building a Random Forest classifier with time-based train/test splits across five rolling quarters to prevent data leakage, then visualising portfolio risk scores and model outputs in interactive Power BI dashboards, resulting in a production-ready early-warning tool for proactive NPA management decisions.
Global COVID-19 Cases and Vaccination Impact Analysis
January 1, 2024 – December 31, 2024
Analysed 90,000+ global records spanning 150+ countries to quantify vaccination impact on mortality and infection trajectories by building SQL-based ETL pipelines for data ingestion and transformation, followed by structured EDA to isolate correlations between vaccination rates, infection curves, and death outcomes, resulting in statistically grounded, evidence-based insights on public-health intervention effectiveness. Delivered a multi-region pandemic KPI monitoring system by designing layered Tableau dashboards with drill-down by country, timeline filters, and comparative vaccination-coverage charts, resulting in a reusable, interactive analytics framework that converts 90K+ raw records into actionable public-health intelligence.
Advanced Power BI
Udemy
January 1, 2025 – Present
Agile Scrum Master
Udemy
January 1, 2025 – Present
Advanced MySQL
Skill Nation Academy
January 1, 2024 – Present
Python Programming
Certiport
January 1, 2023 – Present
Advanced Excel
Udemy
January 1, 2023 – Present
Cultural Fit Analysis
The candidate's academic projects and internships show a diverse application of data analysis skills across financial risk prediction, public health, media analytics, and inventory management. Their involvement in leadership roles within academic clubs and community initiatives suggests a proactive, collaborative, and impact-driven mindset. The breadth of skills and project diversity align well with a dynamic work environment, indicating a good cultural fit for roles requiring adaptability and initiative.
Soft Skills & Operational Fit
The candidate demonstrates strong soft skills, including leadership (Intern Team Lead, Vice President - Investment Club, Programme Coordinator), stakeholder management, and cross-functional collaboration. Their experience in coordinating teams, automating reports, and ensuring timely delivery indicates good operational fit and reliability. The project descriptions highlight a detail-oriented approach and a focus on delivering tangible business value.