Data Analyst with less than a year in Data Analytics & Power BI
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Detail-oriented Data Analyst with hands-on experience in SQL, Python, and Power BI. Track record of reducing data discrepancies by 25%, cutting report retrieval time by 30%, and building interactive dashboards that enable data-driven decisions. Skilled in ETL workflows, KPI development, and delivering clean, accurate reports to cross-functional stakeholders under tight deadlines.
TKR College of Engineering and Technology
Bachelor of Technology · Computer Science
August 1, 2021 – June 30, 2025
Vangrotech Tech Pvt Ltd
Junior Data Analyst Intern
October 1, 2024 – January 1, 2025
Hyderābād, Telangana, India
Bank Churn Analysis Dashboard
January 1, 2025 – December 31, 2025
Analyzed a 10,000-customer banking dataset to uncover churn drivers across geography, product usage, age group, and account balance identifying Germany (32.5% churn) and middle-aged customers (38% churn) as the highest-risk segments. Surfaced a critical insight that customers with 3-4 products had 82.7%-100% churn rates, while balance group 1-50K carried the highest churn risk (34.7%), enabling targeted retention strategy development. Delivered a "Key Churn Risk Factors" ranked visual consolidating 8 priority risk signals – improving executive decision-making speed by ~35% by replacing ad-hoc queries with a self-serve analytical tool.
View ProjectCar Sales Analysis & BI Dashboard
January 1, 2025 – December 31, 2025
Analyzed a large-scale sales dataset to surface revenue trends, regional gaps, and demand patterns – improving business insight visibility by 40% for stakeholders. Built an end-to-end KPI framework (Total Sales, Avg Selling Price, YoY Growth, Regional Contribution) and delivered interactive Power BI dashboards supporting pricing and inventory optimization. Executed data cleaning workflows that reduced dataset inconsistencies by 25%, improving downstream reporting accuracy across all dashboard metrics.
View ProjectHeavy Vehicle Fuel Consumption Prediction
January 1, 2025 – December 31, 2025
Built an ML regression pipeline on vehicle telemetry data (speed, load, road conditions), applying feature engineering and outlier detection; evaluated models using RMSE and R2 score metrics. Achieved optimized model accuracy through hyperparameter tuning, reducing prediction error by ~20% – demonstrating practical impact of ML in real-world fuel efficiency and cost optimization scenarios.
View ProjectPython with Data Analytics
Byte Code Trainings
June 1, 2026 – Present
SQL Certification
HackerRank
June 1, 2026 – Present
Python Programming Fundamentals
Udemy
June 1, 2026 – Present
Java Programming (OOP, Data Structures)
NPTEL – IIT
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's personal projects showcase initiative and a proactive approach to learning and applying data analysis and machine learning techniques. The diversity of projects (churn analysis, sales analysis, fuel consumption prediction) indicates a broad interest in applying data skills to different business problems. The internship experience aligns well with a data-driven culture, emphasizing accuracy, efficiency, and stakeholder communication. However, the candidate's experience level is entry-level, which might require more mentorship in a senior role.
Soft Skills & Operational Fit
The candidate demonstrates good problem-solving skills through identifying and resolving data inconsistencies and optimizing model accuracy. Their project descriptions highlight an ability to communicate insights effectively (e.g., 'improving executive decision-making speed by ~35%'). The internship experience shows an ability to work within a structured environment, manage reporting cycles, and ensure data accuracy for stakeholders.