Epshita Selvi
Summary
Accomplished data analyst with expertise in data analysis and reporting, programming and automation, machine learning, and business intelligence. Proficient in utilising tools such as Python, SQL, Excel, Tableau, and Power BI to deliver insightful analytics and visualisations. Demonstrated ability to conduct variance and anomaly analysis, transaction reconciliation, and risk assessment. Committed to leveraging analytical skills to drive strategic decision-making and operational efficiency.
Overview
7
7
years of professional experience
5
5
years of post-secondary education
Work history
Finance Associate
Karbon Card
2022.11 - 2023.06
- Reconciled daily transactions worth ₹50M+ across 500+ wallet accounts, ensuring 99% accuracy and timely compliance.
- Created pivot-based dashboards tracking 1000+ transactions/day, improving visibility into company and customer spending patterns.
- Identified and flagged 200+ high-risk transactions monthly, performing root cause analysis and corrective actions, reducing unresolved issues by 30%.
- Managed daily fund flows for 10,000+ customers, ensuring wallet updates and accurate reporting.
- Supported daily, monthly, and quarterly reporting cycles, meeting 100% of deadlines for sign-offs and audits.
- Delivered data-driven insights for management, contributing to process optimisation and risk reduction of ₹5M+ annually.
Marketing & Business Analytics Intern
Hatti Kaapi
2016.05 - 2016.07
- Conducted competitor benchmarking across 5+ regional coffee brands, analysing pricing, product mix, and promotional strategies.
- Analysed sales trends and customer behaviour across 3 store locations, evaluating footfall patterns and demographic differences.
- Collected and analysed feedback from 100+ customers to identify key drivers influencing repeat visits and product preferences.
- Identified 2–3 potential flavour expansion opportunities based on customer demand analysis.
- Evaluated coffee filtration reuse processes and proposed improvements to reduce waste and improve cost efficiency.
- Recommended packaging redesign concepts to strengthen brand positioning and improve shelf visibility.
- Presented analytical insights and strategy recommendations to store management.
Education
Master of Science (MSc) - Data Science
Nottingham Trent University
UK 2023.10 - 2024.09
Bachelor of Science (BSc) - Computer Science
Presidency University
India 2015.07 - 2019.07
Skills
- Data Analysis & Reporting: Pivot Tables, MIS Reports, Spend Analytics, Dashboards, Variance & Anomaly Analysis
- Programming & Automation: Python (Pandas, NumPy), SQL (MySQL/PostgreSQL), Excel (VLOOKUP/XLOOKUP, Macros)
- Machine Learning & Statistics: Regression, Classification, CNN, SVM, Clustering, Hypothesis Testing
- BI & Visualization: Tableau / Power BI, Excel Dashboards
- Finance & Operations: Transaction Reconciliation, Fund Flow Monitoring, Risk & Discrepancy Analysis
Projects
- Healthcare Insurance Cost Analysis – Predictive Pricing & Risk Modelling
Conducted end-to-end analysis of 1,338 insurance records (public Kaggle dataset), including preprocessing, validation, and feature analysis.
Built Multiple Linear Regression model to predict medical charges and support data-driven pricing decisions.
Identified Smoking Status, BMI, and Age as top predictors influencing insurance costs (~65% variance explained).
Delivered insights to improve pricing strategy and reduce risk exposure.
- Cardiovascular Risk Prediction – Healthcare Predictive Analytics
Analysed 10,000+ patient records (public/synthetic) to develop predictive models for early disease risk detection.
Performed feature engineering, scaling, and model benchmarking (SVM, MLP, 1D CNN) to optimise predictive accuracy.
Segmented patients into 4 risk groups using clustering (Silhouette Score: 0.32) to guide targeted interventions.
Evaluated models using Precision (72%), Recall (70%), F1-score (71%) to ensure balanced detection outcomes.
Delivered insights for preventive healthcare planning, helping prioritise high-risk patients.
- Enterprise Data Strategy & Revenue Optimisation – Hospitality Analytics
Designed scalable enterprise data architecture for 50+ business units, supporting structured, semi-structured, and unstructured data.
Proposed cloud-based storage and distributed processing framework enabling real-time analytics for dynamic pricing and RevPAR optimisation.
Developed data governance model addressing data quality, compliance (GDPR/CCPA), and secure access control.
Integrated CRM and revenue management analytics, improving occupancy forecasting accuracy by ~15%.
Delivered recommendations to enhance BI capabilities, operational efficiency, and revenue performance.
- Human Movement Calibration – Computer Vision & Performance Optimisation
Developed a multi-modal image alignment system integrating thermal and RGB camera data for improved motion tracking accuracy.
Applied motion estimation techniques to enhance real-time detection precision in variable environments.
Implemented data fusion methods to improve cross-sensor consistency and reduce alignment errors.
Evaluated system performance using quantitative error metrics (MSE, SSIM) to ensure reliability.
Designed a solution for biomechanics and rehabilitation analytics.
Timeline
Master of Science (MSc) - Data Science
Nottingham Trent University
2023.10 - 2024.09
Finance Associate
Karbon Card
2022.11 - 2023.06
Marketing & Business Analytics Intern
Hatti Kaapi
2016.05 - 2016.07
Bachelor of Science (BSc) - Computer Science
Presidency University
2015.07 - 2019.07