Data Analyst with less than a year in SQL, Python, Excel & Power BI
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Data Analyst skilled in SQL, Python, Excel, and Power BI. Experienced in cleaning, analyzing, and visualizing data to deliver actionable insights. Adept at exploratory analysis and dashboard creation, enabling data-driven decisions.
BIHER, CHENNAI
B.Tech. · Computer Science and Engineering
N/A – June 30, 2026
Guntur
Intermediate · MPC
N/A – May 31, 2022
Customer Churn Analysis
March 1, 2025 – April 1, 2025
Analyzed behavior of 7,043 telecom customers to identify churn patterns based on tenure, contract type, and monthly charges. Engineered new features including contract type buckets and tenure bands to improve segmentation and insights. Generated 11 visualizations (histograms, box plots, heatmaps) to highlight churn-prone segments. Revealed that 38% of churned users were on monthly contracts with less than 3-month tenure—suggested early engagement strategies.
Sales Dashboard for Regional Performance
February 1, 2025 – March 1, 2025
Queried and joined 3 sales-related tables covering over 25,000 rows across 12 months and 5 regions using optimized SQL joins to create consistent, analysis-ready datasets. Built 10 dynamic measures and KPIs in Power BI to track regional sales, return trends, and product performance. Designed multipage dashboards with slicers and filters, helping stakeholders drill down by region, product category, and time. Detected a 14% sales drop post-festival in the South region. Later, the insight was used for a marketing recovery plan.
Google Data Analytics
Coursera
January 1, 2025 – Present
INTRODUCTION TO INTERNET OF THINGS
NPTEL
January 1, 2025 – Present
AI-ML VIRTUAL INTERNSHIP
EDUSKILLS
January 1, 2025 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a proactive approach to learning and applying data analysis skills. The certifications, including Google Data Analytics, show a commitment to continuous learning relevant to the target role. The projects cover different business aspects (telecom churn, sales performance), indicating versatility. However, the lack of professional experience limits the assessment of cultural fit in a corporate environment.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to translate data into actionable insights, suggesting good problem-solving and analytical thinking. The focus on stakeholder needs in dashboard design implies an understanding of operational impact. However, without direct work experience or psychometric test details, it's difficult to fully assess stress handling, teamwork, and communication in a professional setting.