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Data Analyst with less than a year in SQL, Python, and Power BI
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Assessing your cultural and operational fit
A detail-oriented and analytically driven M.Tech student specialising in AI and Data Science, with strong proficiency in SQL, Python, Power BI, and data storytelling. Experienced in cleaning and analyzing datasets, building dashboards, and translating complex data into clear, actionable insights. Eager to contribute to a fast-paced, data-driven environment by uncovering trends, supporting business decisions, and enabling smarter product and user outcomes.
College of Engineering Guindy (Anna University)
M.Tech · AI & Data Science
August 1, 2025 – Present
SRM TRP Engineering College (Anna University)
B.E · Computer Science & Engineering
August 1, 2021 – June 30, 2025
Sri Vidhya Int. Res. School
12th · CBSE
June 1, 2021 – May 31, 2021
R.S.K Higher Secondary School
10th · CBSE
June 1, 2019 – May 31, 2019
Kiwistron
Data Science Intern
July 1, 2024 – August 1, 2024
Tiruchirappalli, Tamil Nadu, India
E Quadriga Software
Android Developer Intern
June 1, 2023 – July 1, 2023
Bengaluru, Karnataka, India
E-Commerce Sales Analytics Dashboard
June 1, 2026 – Present
Collected and cleaned a large e-commerce dataset with multiple attributes including revenue, product categories, and customer behaviour. Built an interactive Power BI dashboard with automated filters for geography, time period, and product segment — enabling real-time performance tracking. Applied DAX measures to calculate key KPIs: conversion rate, average order value, and customer retention rate. Identified seasonal trends and purchase funnel drop-offs, providing actionable insights that supported simulated business decisions. Presented findings in a structured report format, translating complex data patterns into clear recommendations.
Auto Data Visualizer — End-to-End Automated EDA & Reporting Tool
June 1, 2026 – Present
Built a fully automated tool to process Excel/CSV datasets and generate a comprehensive PDF report with dynamic visualizations. Performed data cleaning, outlier removal using the IQR method, and type-based chart generation (bar, pie, box, histogram, heatmap). Implemented data preprocessing workflows including null handling and structured outlier removal to ensure data quality. Integrated a Streamlit interface for seamless file upload and one-click PDF download — making analytics accessible to non-technical users. Utilized FPDF to compile labeled visuals into a polished, downloadable report — mimicking real-world analyst deliverables.
Maternal Health Data Visualization and Analysis
June 1, 2026 – Present
Conducted exploratory data analysis (EDA) on a maternal health dataset containing key indicators such as blood pressure, heart rate, and risk scores. Identified patterns in patient health metrics with a focus on risk factor segmentation using advanced visualization techniques. Created dynamic plots (box plots, line graphs, histograms) to uncover hidden trends and generate actionable healthcare insights.
Intelligent Log Management and Analysis System
June 1, 2026 – Present
Designed and built a scalable data pipeline to ingest, clean, and process high-volume system log data using Hadoop and Kafka. Performed anomaly detection and pattern analysis using ML models (Isolation Forest, Random Forest) and Deep Learning (LSTM). Built real-time monitoring dashboards with the ELK Stack to surface operational insights and system health metrics. Conducted performance tracking across log categories, aligning findings with cybersecurity analytics and infrastructure monitoring use cases.
Introduction to Data Engineering
IBM Professional Certification
June 1, 2026 – Present
Machine Learning Using Python
SimpliLearn
June 1, 2026 – Present
Python for Data Science
NPTEL Online Certification (Elite)
June 1, 2026 – Present
Python for Data Science, AI and Development
IBM Professional Certification
June 1, 2026 – Present
Artificial Intelligence - Beginners
IBM SkillsBuild
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects cover diverse domains such as e-commerce, system log analysis, healthcare, and general data visualization, indicating a broad interest and adaptability. Their involvement in leadership activities, research, and coding contests suggests a proactive and engaged individual. The objective statement clearly aligns with a data analyst role, emphasizing data storytelling and supporting business decisions. The combination of technical skills, project diversity, and extracurricular involvement suggests a good cultural fit for a dynamic data team.
Soft Skills & Operational Fit
The candidate demonstrates good soft skills through leadership roles (President Designer Club, Coordinator Coding Club) and participation in team-based projects. Their ability to present findings and translate complex data into clear recommendations indicates strong communication and presentation skills. The experience as a Research Analyst and participation in startup events suggest an proactive and innovative mindset, which aligns well with a fast-paced, data-driven environment. The Android Developer Intern role, while not directly data-focused, shows an ability to track performance metrics and collaborate in a team.