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Data Analyst with less than a year in SQL, Python, and 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
To obtain and aiming to leverage strong problem solving to contribute effectively to the success of a dynamic and forward thinking organization.
University College Of Engineering BIT-CAMPUS
B.E · ELECTRONICS AND COMMUNICATION ENGINEERING
August 1, 2021 – June 30, 2025
Our Lady Of Lourde's Girls Higher Secondary School
HSLC
June 1, 2020 – May 31, 2021
Our Lady Of Lourde's Girls Higher Secondary School
SSLC
June 1, 2018 – May 31, 2019
Nxtsync Pvt Ltd
Data Analyst
October 1, 2025 – January 1, 2026
Hyderābād, Telangana, India
Sales Trends and Customer Insights
June 17, 2026 – Present
• Designed a dashboard to the analyze sales performance and customer behavior using Power BI. Included filters for year, country, and quantity. Created visual insights with bar, line, and donut charts. Used DAX to calculate key metrics and improve decision-making.
Road Accident Analysis
June 17, 2026 – Present
• Analyzed road accident data using MS Excel employing pivot tables statistical tools to identify patterns and trends. • Developed visual reports and charts to highlight key insights,providing actionable recommendation for improving road safety.
HR Headcount Analysis
June 17, 2026 – Present
• Designed and developed HR headcount analysis reports using Power BI, enhancing data visualization and insights. Improved decision-making through data-driven recommendations. Enhanced HR analytics capabilities through data modeling and visualization. • Created interactive Power BI dashboards for HR headcount trends and metrics analysis.Improved HR data accuracy and visibility through data visualization.
Credit Card Fraud Detection (Final Year Academic Project)
June 17, 2026 – Present
• Developed a Credit Card Fraud Detection model using SMOTE-ENN and Random Forest Classifier, enhanced with Mahalanobis distance for anomaly detection. Implemented the fraud detection on imbalanced financial data using SMOTE-ENN, Random Forest, and performance evaluation with ROC/F1-score. • Built a machine learning pipeline for Credit Card Fraud Detection leveraging SMOTE-ENN and Random Forest to improve detection accuracy.
Cultural Fit Analysis
The candidate's project diversity, ranging from sales and HR analytics to road safety and fraud detection, indicates a broad interest in applying data analysis across different domains. The academic project demonstrates initiative in tackling complex problems. The internship experience shows an ability to work in a professional setting. This breadth of experience and willingness to learn new domains suggests a good cultural fit for a dynamic role requiring adaptability and continuous learning. However, the limited professional experience means the depth of cultural integration is yet to be fully tested.
Soft Skills & Operational Fit
The candidate's profile indicates a proactive approach to problem-solving and a desire to contribute to organizational success. Project descriptions suggest an ability to translate data into actionable insights and recommendations. The academic project on fraud detection highlights an analytical mindset and attention to detail. However, without psychometric test results, a comprehensive assessment of work attitude, stress handling, and team collaboration is not possible.