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Data Science with less than a year in Python, SQL, and Power BI for data analysis and machine learni
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Assessing your cultural and operational fit
Computer Science Graduate (CGPA 7.78) skilled in Python, SQL, Excel, and Power BI for performing EDA, data preprocessing, and building predictive models and interactive dashboards. Built a UPI fraud-detection system achieving ~99% accuracy and ~98% recall on 10,000+ records, and an HR analytics dashboard analyzing 2,900+ employee records to surface attrition trends. Seeking data analyst / data science roles where I can turn data into actionable business decisions.
JNTU-GV
B.Tech · Computer Science & Engineering
September 1, 2022 – April 1, 2026
Secure UPI Fraud Detection System & Analytics Dashboard
June 1, 2025 – June 1, 2026
Performed EDA on 10,000+ records to identify fraud patterns and class imbalance. Designed and implemented a data pipeline (encoding, scaling, SMOTE, PCA) to improve model performance. Built and compared ML models (Random Forest, XGBoost, SVM) achieving ~99% accuracy and ~98% recall. Coordinated task distribution, ensured timely delivery, and integrated model outputs with dashboard interface. Designed a user-friendly dashboard to visualize fraud probability, insights, and model comparison.
View ProjectHR Analytics Dashboard
June 1, 2025 – June 1, 2026
Analyzed 2,900+ employee records to identify workforce trends, attrition patterns, and key HR metrics. Performed data cleaning and transformation using Power Query to ensure data accuracy and consistency. Designed an interactive dashboard to track attrition rate, active employees, and average age. Created visualizations for department-wise attrition, age group distribution, and job satisfaction analysis. Implemented filters and slicers for dynamic exploration based on age group, education, and job role.
View ProjectQuantum Fundamentals Program
Amaravati Quantum Valley x Qubitech x WISER
February 1, 2026 – Present
Data Visualization(PowerBi)
Data Valley
June 1, 2025 – Present
Machine Learning using Python
Infosys Springboard
April 1, 2025 – Present
Python Programming Certificate
NPTEL (Swayam)
March 1, 2025 – Present
Hackathon Participant
BITS Pilani, Hyderabad Campus
January 1, 2025 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a proactive approach to learning and applying data science concepts. Participation in a hackathon and various certifications indicate a drive for continuous learning and engagement within the tech community. The projects show a focus on practical problem-solving (fraud detection, HR analytics), which aligns with a results-oriented culture. The 'Team Lead' role in one project suggests an ability to collaborate and take initiative. Overall, the candidate appears to be a good cultural fit for a dynamic, learning-focused environment.
Soft Skills & Operational Fit
The candidate's resume highlights problem-solving, teamwork, communication, and time management as soft skills. The project descriptions, particularly the 'Secure UPI Fraud Detection System', mention coordinating task distribution and ensuring timely delivery, which suggests operational fit for team-based project environments. However, without specific behavioral assessment data, the depth of these soft skills cannot be fully validated.