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Data Analyst with 1+ years in Excel, SQL, Python & Power BI
Data Analyst with hands-on experience in Excel, SQL, Python, and Power BI, specializing in data cleaning, transformation, analysis, visualization, and interactive dashboard development. Skilled in extracting actionable insights from complex datasets to support data-driven business decisions. Experienced in end-to-end data analysis through real-world projects, including HR analytics, retail sales analysis, customer segmentation, and business performance reporting. Strong understanding of data preprocessing, exploratory data analysis (EDA), KPI tracking, and data storytelling. Proficient in creating meaningful visualizations and presenting findings to solve business problems. Backed by a solid foundation in Computer Applications, excellent analytical and problem-solving skills, and a continuous learning mindset with a passion for leveraging data to drive organizational growth.
KGISL Micro College
Professional Certification · Data Analytics
August 1, 2025 – June 30, 2026
JAS College of Education
Bachelor of Education
August 1, 2020 – June 30, 2022
Bharathiar University
Master of Computer Applications
August 1, 2017 – June 30, 2019
Sri Ramakrishna College of Arts and Science
Bachelor of Computer Applications
August 1, 2009 – June 30, 2012
Playto Labs
Coding & Robotics Trainer
November 1, 2023 – Present
India
Pristine Academy
Computer Science Teacher
June 1, 2019 – May 1, 2020
India
Al-Hilal Matric Higher Secondary School
Computer Science Teacher
February 1, 2012 – April 1, 2017
India
HR Analysis - Employee Workforce Dashboard
June 1, 2026 – Present
Developed an interactive Power BI dashboard analyzing 1,470 employee records. Analyzed attrition trends, salary distribution, demographics, and performance metrics. Identified key factors influencing employee attrition to assist HR decision-making. Implemented data modeling and DAX calculations for accurate reporting.
View ProjectRetail Sales Analysis
June 1, 2026 – Present
Performed end-to-end analysis of retail sales data to evaluate revenue, profit trends, customer behavior, and YoY growth. Cleaned and transformed raw data using Excel and SQL queries. Built interactive Power BI dashboards using DAX to track KPIs such as sales growth, top products, and regional performance. Identified high-value customers and underperforming categories to support business decisions.
Customer Personality Analysis
June 1, 2026 – Present
Analyzed customer demographics, spending patterns, and purchase behavior to create customer segments. Used pivot tables, charts, and scenario analysis to generate insights. Delivered data-driven recommendations for targeted marketing strategies.
Foundations: Data, Data, Everywhere
June 1, 2026 – Present
Getting Started with Microsoft Excel, Google Analytics (Basic), Data Visualization using Microsoft Excel
Coursera
June 1, 2026 – Present
Creative Designing in Power BI, Unlock the Power of Data with Power BI
Microsoft
June 1, 2026 – Present
Data Analysis & Visualization Foundations, Python for Data Science, AI & Development
IBM
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's diverse educational background and experience in teaching roles, coupled with a recent pivot towards data analytics through certifications and projects, indicates adaptability and a strong drive for continuous learning. The project diversity (retail, HR, customer segmentation) shows a broad interest in applying data skills across different business domains. The current role as a 'Coding & Robotics Trainer' where they analyze student performance and mentor in Python fundamentals, suggests a proactive approach to skill development and a willingness to take on new challenges, which aligns with a growth-oriented culture.
Soft Skills & Operational Fit
The candidate's experience as a trainer and teacher suggests strong communication, mentoring, and problem-solving skills. Analyzing student performance data and collaborating with teams to improve curriculum effectiveness indicates an ability to work with data to drive operational improvements and a collaborative mindset. The focus on analytical thinking and problem-solving in previous roles is transferable to data analysis.