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Data Analyst with less than a year in data analysis & visualization.
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Aspiring Data Analyst with an M.Sc. in Data Science from VIT and a foundation in Mathematics, bringing analytical rigour to every problem. Completed a Data Analyst internship at The Ramco Cements Limited where statistical process controls reduced process deviation by 20%. Skilled in Python, SQL, Power BI, and Tableau, with hands-on experience in EDA, data transform, and data visualisation. Eager to leverage this blend of academic depth and real-world impact in a full-time Data Analyst role.
Vellore Institute of Technology
M.Sc. · Data Science
August 1, 2023 – June 30, 2025
Stella Maris College
B.Sc. · Mathematics
August 1, 2019 – June 30, 2022
The Ramco Cements Limited
Data Analyst Intern
January 1, 2025 – April 1, 2025
India
Future of Work: AI Integration & Job Displacement Analysis
April 1, 2026 – April 1, 2026
Developed a multi-page interactive Power BI dashboard analysing 15K+ job roles to evaluate AI adoption, automation risk, job displacement trends, and workforce reskilling, enabling business insights across multiple industries. Performed business analysis, trend analysis, and KPI monitoring by creating metrics such as Job Replacement Score, Automation Risk, Reskilling Urgency, and Salary Change % using DAX measures, data transformation, and modelling techniques. Implemented advanced Power BI functionalities including Row-Level Security (RLS), dynamic parameters, custom tooltips, drill-through analysis, and interactive slicers to enhance reporting efficiency, support stakeholder requirements, and enable data-driven decision-making.
Harnessing Spotify API: Music Recommendation system using machine learning
September 1, 2024 – January 1, 2025
Designed and implemented a hybrid recommendation system combining Content-Based Filtering, KNN, and Weighted Popularity Scoring using Spotify API data. Performed feature engineering and cosine similarity analysis on real-time music datasets to generate personalized recommendations. Achieved 98% recommendation accuracy, precision, and recall, with the KNN model outperforming hybrid approach by reducing prediction errors (MSE: 44.98, RMSE: 6.71, MAE: 5.34). Developed a Flask-based web application for real-time recommendation delivery and user interaction.
Python Basics
Coursera
June 1, 2026 – Present
Python for Data Analysis
IBM Skills Network
June 1, 2026 – Present
Oracle Database Design and SQL
Oracle
June 1, 2026 – Present
Data Analytics
SLA Institute
December 1, 2025 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate initiative and a proactive approach to learning and applying new technologies. The diversity of projects (Power BI dashboard, ML recommendation system) suggests adaptability and a broad interest in data-related challenges. The internship shows an ability to work within an industrial context, indicating a potential for good operational fit.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to translate business requirements into data solutions (e.g., creating metrics for AI integration analysis). The internship experience highlights problem-solving and process optimization skills. However, direct evidence of communication, teamwork, or leadership in a professional setting is limited to project descriptions.