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Data Analyst with less than a year in Data Analytics & Visualization
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Entry-level Data Analyst with strong skills in SQL, Excel, Python, and Power BI. Skilled in data cleaning, analysis, and visualization through internship experience and personal projects. Eager to apply analytical skills to solve business problems and support data-driven decision-making.
SRM Institute of Science and Technology
B.Tech · Information Technology
August 1, 2022 – June 30, 2026
Velankanni Matriculation Higher Secondary School
Class 12
June 1, 2021 – May 31, 2022
Velankanni Matriculation Higher Secondary School
Class 10
June 1, 2019 – May 31, 2020
Navodita Infotech
Data Analytics Intern
March 1, 2026 – April 1, 2026
Chennai, Tamil Nadu, India
Aadhaar Enrolment Analytics Dashboard
January 1, 2026 – January 1, 2026
Built an interactive Power BI dashboard on Aadhaar enrolment trends across 49 states and 965 districts using 10.06L+ records from the official UIDAI API dataset. Combined 3 CSV files using Power Query Append Queries; created DAX measures for Total Enrolment, Year, and Target Enrolment (10L) to track KPI performance. Revealed key insights – September peak at 13.66L, 65.3% enrolments are children under 5, and December fell 12.1% below the 10L target.
View ProjectWalmart Sales Performance Analysis
December 1, 2025 – December 1, 2025
Analyzed 1,000+ sales transactions across 3 branches and 6 product lines using SQL for data cleaning, feature engineering, and business analysis. Engineered 3 new columns – time_of_day, day_name, month_name – using CASE, DAYNAME, and MONTHNAME; evaluated revenue (3.23L), COGS, VAT, and gross income. Built a Power BI dashboard with KPI cards and trend charts; Branch C Naypyitaw led with 1.10L revenue; Food & Beverages was the top product line.
View ProjectHR Analytics - Employee Attrition Analysis
November 1, 2025 – November 1, 2025
Analyzed 1,470 employee records across 3 departments using Excel and Power BI to uncover attrition patterns by age, gender, education, and job role. Built DAX measures – Attrition Rate (16.12%), Active Employees (1,233), and Average Age (37) – using DIVIDE, COUNTROWS, FILTER, and AVERAGE functions. Dashboard revealed R&D as highest attrition department (133 employees, 56%), age group 25-34 highest risk (112 left), and Lab Technicians most at-risk role (62).
View ProjectTata Data Visualisation
Forage
May 1, 2026 – Present
SQL Basic
HackerRank
January 1, 2026 – Present
Deloitte Analytics Simulation
Forage
December 1, 2025 – Present
Microsoft Power BI Data Analyst Professional
Coursera
November 1, 2025 – Present
Google Data Analytics Professional
Coursera
September 1, 2025 – Present
Python for Data Science
NPTEL
January 1, 2025 – Present
Big Data Computing
NPTEL
August 1, 2024 – Present
Cultural Fit Analysis
The candidate's project diversity (Aadhaar enrolment, HR attrition, Walmart sales) shows a broad interest in applying data analytics across different domains. The certifications from Coursera, HackerRank, and NPTEL indicate a commitment to continuous learning and self-improvement, which aligns well with a growth-oriented culture. The target role of Data Analyst is well-aligned with the candidate's skills and project experience.
Soft Skills & Operational Fit
The candidate demonstrates good initiative through personal projects and certifications, indicating a proactive learning attitude. The project descriptions are clear and highlight problem-solving skills. The internship experience, though short, shows an ability to apply learned skills in a professional setting. However, without psychometric or English test results, a comprehensive assessment of work attitude, stress handling, and team collaboration is not possible.