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Software Engineer with 1+ years in Python, Web Development & AI/ML
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Motivated B.Tech graduate in Artificial Intelligence & Data Science seeking opportunities as a Software Developer or Banking Process Associate. Equipped with strong programming skills in Python, web development expertise, and hands-on project experience in fintech and banking domains. Fluent in English, Hindi, Telugu, Tamil, and Kannada, with excellent communication and analytical skills to contribute effectively to software and banking teams.
Muthayammal Engineering College
B.Tech · Artificial Intelligence & Data Science
August 1, 2021 – June 30, 2025
Narayana Junior College
HSC (Intermediate)
June 1, 2019 – May 31, 2021
Sri Balaji High School, Nallamada
SSC
June 1, 2018 – May 31, 2019
Fraud Transaction Detection System
September 1, 2025 – February 28, 2026
Developed a machine learning model to detect fraudulent banking transactions from large real-world financial datasets. Performed end-to-end data preprocessing including data cleaning, normalization, and feature engineering to improve model accuracy. Applied classification algorithms (Logistic Regression, Random Forest) to identify suspicious patterns and anomalies in transaction records. Visualized transaction trends and fraud patterns using Power BI dashboards for clear business reporting. Gained practical understanding of KYC processes, AML compliance, transaction monitoring, and financial risk assessment. Achieved high accuracy in distinguishing legitimate vs fraudulent transactions, reducing false positives through model tuning.
Online Banking Dashboard – Frontend Web Application
June 1, 2025 – August 31, 2025
Developed a fully responsive Online Banking Dashboard UI simulating a real-world internet banking portal experience. Designed a secure login page with JavaScript form validation, account overview showing balance, recent transactions, and quick transfer options. Built sidebar navigation with modules for Account Summary, Fund Transfer, Transaction History, Loan Details, and Customer Support. Implemented dynamic transaction table with search and filter functionality to sort records by date, amount, and category. Applied CSS animations and Bootstrap grid system for a polished, fully responsive layout across all screen sizes. Gained strong exposure to UI/UX design principles and how banking portals function from a customer-facing perspective.
Personal Finance Tracker Web Application
January 1, 2025 – May 31, 2025
Designed and developed a fully functional Personal Finance Tracker web application to help users manage income, expenses, and savings efficiently. Implemented secure user authentication with login/registration using Flask sessions and password hashing for data protection. Built a dynamic dashboard with real-time charts using Chart.js to visualize monthly spending patterns, budget utilization, and savings progress. Developed RESTful APIs using Python Flask framework connected to a MySQL database for persistent and reliable data storage. Applied responsive design using Bootstrap ensuring smooth cross-device experience across desktop and mobile. Enabled category-wise transaction filtering (food, rent, utilities, entertainment) with monthly and yearly financial summaries.
Data Analytics Course
IIHT (TechPragna)
June 1, 2026 – Present
Value Added Course Completion
Top Freshers Technologies Pvt. Ltd.
June 1, 2026 – Present
Skill Development Course Completion
Top Freshers Technologies Pvt. Ltd.
June 1, 2026 – Present
NPTEL Online Certification
Ministry of Education, Govt. of India
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects demonstrate a breadth of technical interests, from web development to machine learning and data analysis, indicating a versatile and curious mindset. The focus on financial applications (Fraud Detection, Personal Finance Tracker, Online Banking Dashboard) shows a clear alignment with roles in the fintech sector or companies requiring similar domain knowledge. The academic background in AI & Data Science further supports a data-driven and analytical approach. The candidate's willingness to learn and apply diverse technologies suggests a good cultural fit for dynamic and innovative teams.
Soft Skills & Operational Fit
The candidate lists communication, adaptability, leadership, self-motivation, and problem-solving as soft skills. Project descriptions indicate practical application of problem-solving and adaptability in developing features and handling data. The academic nature of projects suggests a learning-oriented individual, which aligns with operational fit for roles requiring continuous skill development. However, without professional experience or specific examples, the depth of these soft skills in a corporate setting is unverified.