About
Motivated Python Developer and Computer Science graduate (B.Tech, 2025) with strong proficiency in Python, Django (MVC/MVT), REST API integration, SQL, and CRUD operations. Experienced in building ML-driven automation systems, real-time data pipelines, and backend solutions. Skilled in OOP, unit testing, error handling, and Git-based version control. Also experienced in Excel, Power BI, MIS reporting, KPI dashboards, ETL, EDA, data cleaning, statistical analysis, and data storytelling for business decision-making.
Skills & Expertise (33)
Work Experience
Python Developer
ML-Driven Fault Detection & Classification (EV Performance)
Present - Present
Designed and deployed a real-time fault detection and classification system for electric vehicles using supervised ML models, improving EV system uptime through intelligent automation. Built automated electrical fault identification pipeline using Python, Pandas, and NumPy for data preprocessing and feature engineering; achieved high-accuracy fault classification. Reduced manual diagnostics effort significantly by automating classification logic using trained ML models.
Python Developer
Real-Time Traffic Surveillance & Detection
Present - Present
Built an end-to-end traffic prediction and crowd management system leveraging live CCTV feeds and deep learning object detection models. Utilized computer vision techniques (OpenCV) to analyze vehicular movement patterns and generate real-time traffic alerts. Integrated REST API endpoints and JSON data pipelines to feed processed traffic insights into a Django-based backend dashboard using MVC/MVT architecture.
Data Analyst
Survey / Public Dataset Analysis
Present - Present
Processed 5,000+ records using Pandas — handled missing values and outliers achieving >98% data quality; performed comprehensive EDA using Matplotlib and Seaborn. Designed a multi-page Power BI report with custom visuals, bookmarks, and drill-down filters for actionable business decision support.
Data Analyst
Sales Data Analysis Dashboard
Present - Present
Built end-to-end sales analytics dashboards tracking Total Sales, AOV, Profit Margins, and MoM Sales Growth; applied DAX formulas to automate dynamic reporting, reducing manual effort by ~60%. Used SQL joins, CTEs, and aggregations to extract and transform raw data; delivered regional performance insights to stakeholders using data storytelling best practices.
Data Analyst
Power BI Enterprise Sales Dashboard
Present - Present
Architected a 7-page interactive dashboard with 15+ DAX formulas including YoY growth, rolling averages, and cumulative totals; integrated via DirectQuery from MySQL. Applied UI/UX best practices and conditional formatting for real-time KPI monitoring, improving stakeholder time-to-insight significantly.
Education
B.Tech – Computer Science & Engineering - Malla Reddy College of Engineering
2021 - 2025 · Afghanistan
Intermediate (Class XII) – MPC - Akshara Junior College
2020 - 2021 · Afghanistan
SSC (Class X) - Krishnaveni Talent School
2018 - 2019 · Afghanistan
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Skills (33)
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