DATA ANALYST

I'm a Data Analyst turning complex datasets into actionable business insights through advanced data visualization, statistical analysis, and predictive metrics.

Bridging data engineering & analytics to drive data-informed decision making in Business and high-impact solutions.

Python Programming

Pandas & Numpy

Matplotlib

SQL

Power BI

Tableau

Microsoft Excel

MySQL

PostgreSQL

Snowflake

AWS & Azure

EDA

Data Cleaning

Statistical Analysis

GitHub

Linux

RAG Development

EXECUTIVE SUMMARY

As an AI and Data Science graduate, I specialize in transforming complex, raw datasets into clear, actionable business strategies. My technical toolkit includes strong proficiency in Python and SQL for data manipulation and querying, alongside extensive hands-on experience using industry-standard platforms like Power BI, Tableau, and Excel to engineer dynamic dashboards and robust business intelligence reports.

Driven by strong analytical thinking and a natural problem-solving mindset, I am passionate about uncovering the narrative behind data to help guide impactful corporate decisions. I thrive in collaborative, growth-oriented environments where I can leverage my technical foundations and exposure to cloud technologies to contribute effectively to team success and continuous innovation.

Education

B.Tech in Artificial Intelligence & Data Science

Prince Dr. K. Vasudevan College of Engineering and Technology

MAY 2022 — MAY 2026 | CGPA: 7.4

Class 12 / Higher Secondary Education

Vidhya Matriculation Higher Secondary School

JUN 2021 — APR 2022 | Percentage: 80.1%

PYTHON• SQL• POWER BI• TABLEAU• EXCEL• MYSQL• POSTGRESQL• SNOWFLAKE• AWS & AZURE• EDA•

WORK EXPERIENCE

MAY 2024 — JUN 2024

PROJECT INTERN

LEAP - IIT Madras Incubation Cell

Collaborated closely on developing innovative smart home hardware solutions and integrating robust IoT functionality. By optimizing data transmission and hardware communication, these highly targeted efforts directly enhanced overall device efficiency by 15% during extensive, rigorous testing and final validation phases.
Led comprehensive system integration and testing initiatives, taking ownership of reliability while proactively resolving over 10 critical technical challenges. This systematic approach to troubleshooting successfully prevented major project delays and stabilized the core hardware and software architecture under complex conditions.
Thoroughly documented technical progress, engineering methodologies, and testing protocols through comprehensive reports. This clear documentation successfully bridged critical communication gaps, provided vital stakeholder clarity, and aligned our diverse project teams perfectly regarding strategic project milestones and all future engineering phases.

FEATURED PROJECTS

Weather Analysis

Meteorological Analytics & Forecasting

Developed an enterprise-grade analytics dashboard synthesizing 33.09K regional precipitation records across five states, equipping stakeholders with cross-functional filtering to evaluate historical anomalies, environ- mental trends, and localized climate patterns.
Implemented predictive time-series modeling architectures to generate ten-year atmospheric forecasts through 2036, transforming complex meteorological datasets into high-fidelity, actionable data visualizations to op- timize strategic resource planning.

Power BIData VisualizationStatistical Analysis

Enterprise HR Management Dashboard

Global Talent & Finacial Analysis

Architected a comprehensive workforce analytics platform tracking 891 headcount and $47M payroll, empowering executives to eliminate labor cost redundancies and optimize global organizational design across multiple business dimensions.
Developed interactive departmental filtering and menu navigation systems, accelerating strategic HR decisions by providing real time visibility into high performer distributions and critical operational risk factors across the enterprise.

Power BIPostgreSQLData VisualizationDAX

Zepto Inventory

Retail Data Insights & Cleaning

Explored and cleaned a Zepto-modeled retail dataset using SQL techniques to eliminate invalid entries and structural inconsistencies.
Generated actionable business insights including revenue estimates, value-for-weight analysis, and key inventory trends from raw product data.

SQLData CleaningAnalytics

Real Estate Predictor

Price Estimation Pipeline

Engineered a machine learning pipeline to predict real estate prices through extensive data cleaning, dimensionality reduction, and outlier removal.
Evaluated multiple regression models including Linear, Ridge, and Lasso, successfully deploying the most accurate algorithm via joblib.

PythonScikit-LearnRegression