Business Analyst with 4+ years in Data Analysis, SQL & Power BI
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Aspiring Business Analyst with 4.7 years of experience as a Production Engineer, transitioning into a data-focused role. Proven ability to analyze complex datasets, build predictive models, and develop interactive dashboards using Python, SQL, and Power BI. Skilled in identifying key drivers, conducting profiling, and generating actionable insights to support data-driven decision-making, as demonstrated through projects in credit risk, employee management, and sales analysis.
Vidya Jyothi Institute of Technology
B.Tech
August 1, 2016 – June 30, 2020
Thermopads Private Limited
Senior Production Engineer
August 1, 2020 – April 1, 2025
Telangana, India
Credit Card Approval Prediction
June 30, 2026 – Present
Analyzed a dataset containing 36,457 records and 21 features (12 numerical, 10 categorical) to identify key drivers influencing credit card approval. Determined "default" as the primary target variable for building accurate credit risk prediction models. Found repayment behavior (STATUS) to be the strongest predictor, with consistent repayment history showing the highest approval likelihood. Conducted demographic and categorical profiling, revealing that most applicants were from working-age groups with stable housing and long-term employment, indicating stronger financial reliability. Identified income distribution skewed toward low-to-mid ranges, with approval probability decreasing for applicants with irregular income patterns or overdue payments.
View ProjectEmployee Management System
June 30, 2026 – Present
Designed and implemented a normalized relational database with 6 tables (Employees, Payroll, Leaves, Qualifications, Departments, Salary) to manage 60 employee records, ensuring 100% referential integrity via primary/foreign keys, constraints, and cascading rules. Developed 25 advanced SQL queries using JOINs, window functions, CTEs, and aggregation techniques to generate payroll summaries, department-wise salary benchmarks, and leave-frequency insights. Created analytical reports highlighting the top 5 highest-paid employees, department-level salary averages, and qualification-based employee rankings to support HR, payroll, and recruitment decision-making.
View ProjectBlinkit Sales Analysis
June 30, 2026 – Present
Built an interactive Power BI dashboard analyzing 1.2M+ Blinkit sales data, integrating KPIs such as average sales (140.99) and average item rating (3.92) for real-time performance monitoring. Executed category-wise sales analysis, identifying Fruits & Vegetables and Snack Foods as the top revenue contributors, accounting for ~33% of total sales. Applied DAX measures, data modeling, and visualization techniques to determine Supermarket Type 1 stores as the highest-performing outlets with ₹787.55K revenue (65% of total sales). Conducted segmentation by region and fat content, uncovering 64.7% low-fat product sales and strong revenue growth in Tier 3 outlets (₹472.13K).
View ProjectElectric Vehicle Data Analysis
June 30, 2026 – Present
Processed and visualized 1,100+ electric vehicle records to evaluate battery performance, pricing trends, charging efficiency, and energy consumption. Identified a strong positive correlation (r ≈ 0.85) between battery capacity and driving range, enhancing range prediction insights. Conducted multivariate analysis involving price per kWh, charging speed, and efficiency to identify cost-effective and high-performance EV models. Developed interactive dashboards that improved EV trend visualization and supported data-driven decisions for product strategy, pricing, and market analysis.
View ProjectPython Programming Certificate
Unknown
June 1, 2026 – Present
Exploratory Data Analysis Certificate
Unknown
June 1, 2026 – Present
Power BI Certificate
Unknown
June 1, 2026 – Present
Data Analysis with MySQL Certificate
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects demonstrate a strong interest in data analysis and business intelligence, which aligns with the target role of a Business Analyst. The diversity of academic projects (credit card prediction, employee management, sales analysis, EV analysis) shows a broad curiosity and willingness to apply analytical skills across different domains. However, the lack of professional experience in a business analyst capacity and the academic nature of all listed projects suggest a potential gap in understanding real-world business contexts, stakeholder management, and cross-functional collaboration, which are crucial for cultural fit in a business analyst role. The candidate's certifications in Python, Power BI, and MySQL indicate a proactive approach to skill development.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work with diverse datasets and apply analytical techniques to solve business problems. The academic nature of projects suggests a foundational understanding of data analysis workflows. However, the lack of professional experience in a Business Analyst role means practical application of these skills in a corporate setting, stakeholder communication, and operational impact are unproven. The candidate's previous role as a Senior Production Engineer does not directly align with the target role, suggesting a career transition.