Data Analyst with less than a year in Data Analytics & Business Intelligence
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Results-driven Data Analyst with hands-on experience in data analysis, reporting, dashboard development, and business intelligence using SQL, Python, Excel, and Power BI. Skilled in data cleaning, validation, transformation, exploratory data analysis (EDA), KPI reporting, and workflow automation. Experienced in handling large datasets, building interactive dashboards, and generating actionable business insights to improve operational efficiency and decision-making. Strong analytical, problem-solving, and cross-functional collaboration skills with a keen attention to detail.
Mahendra Institute of Technology
Bachelor of Engineering · Computer Science and Engineering
June 1, 2021 – May 1, 2025
Gradtwin Services Pvt Ltd
Data Analytics Intern
July 1, 2025 – October 1, 2025
Chennai, Tamil Nadu, India
Skill Match AI – Resume Matching System
June 1, 2026 – June 1, 2026
Developed an AI-powered resume matching system using TF-IDF and cosine similarity algorithms for job-resume matching. Processed and analyzed 1,000+ job descriptions and candidate resumes for skill-based matching analysis. Performed data preprocessing, cleaning, and feature engineering to improve matching accuracy. Built an interactive Power BI dashboard to visualize candidate ranking metrics and hiring insights. Improved candidate-job matching efficiency through automated resume analysis workflows.
Sales Performance Dashboard
June 1, 2026 – June 1, 2026
Analyzed multi-region sales data to identify revenue trends, performance gaps, and growth opportunities. Developed interactive dashboards with KPI metrics including Revenue Growth %, Dealer Performance, and Target Achievement. Created optimized data models and implemented DAX calculations for advanced business reporting. Improved reporting efficiency and enabled data-driven decision-making for stakeholders.
Customer Churn Analysis & Prediction
June 1, 2026 – June 1, 2026
Performed exploratory data analysis on 7,000+ customer records to identify churn patterns and customer behavior trends. Cleaned and transformed raw datasets to improve data quality and analytical accuracy. Developed predictive models achieving 80% accuracy for customer churn identification. Identified key business factors influencing churn, including tenure, engagement, and pricing sensitivity. Built visual dashboards and reports to support business decision-making and retention strategies.
Data Analytics Using Power BI
Livewire
June 1, 2026 – Present
Enhancing Soft Skills and Personality
NPTEL
June 1, 2026 – Present
SQL Basics Certification
Hacker Rank
June 1, 2026 – Present
Internship Certification
Gradtwin Services Pvt Ltd
June 1, 2026 – Present
Deloitte Australia Data Analytics Job Simulation
Forage
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects and internship demonstrate a proactive approach to learning and applying data analytics skills. The diversity of projects (AI-powered matching, sales performance, churn analysis) indicates adaptability and a broad interest in data applications. The certifications further support a commitment to continuous learning. However, the experience level is entry-level, which might require more mentorship in a senior role.
Soft Skills & Operational Fit
The candidate's resume highlights problem-solving, analytical thinking, communication, documentation, and cross-functional collaboration as soft skills. The internship experience also mentions collaborating with cross-functional teams and maintaining proper documentation, indicating a good operational fit for roles requiring teamwork and structured reporting.