ANSH RAJ

Worked on a live MT5 trading system for XAUUSD and BTCUSD using real-time OHLC/tick market data. Built a Python-based project with 138 files, 17,000+ lines of code, and 89+ automation scripts.

Developed a live algorithmic trading platform using MT5 real-time OHLC/tick data for XAUUSD and BTCUSD. Built a database-first architecture with SQLite and created a 1-minute live signal pipeline.

Developed a car price prediction system using Python and Scikit-learn, involving feature engineering, EDA, and model evaluation.

Worked on 3+ AI/ML projects involving NLP and Computer Vision fundamentals. Built and evaluated 5+ ML models including Linear Regression, Decision Trees, Random Forest, and SVM.

Collected, cleaned, and organized 50,000+ records using Excel, SQL, and Python. Built 5+ interactive dashboards in Power BI and improved data accuracy and reporting efficiency by ~30%.

Designed an automated attendance system handling 100+ employees with real-time payroll computation. Implemented GPS-based location validation and image verification, reducing fake attendance by over 90%.

Built a voice-controlled system supporting 100% hands-free interaction for visually impaired users. Integrated Speech-to-Text and Text-to-Speech with 95% voice recognition accuracy.

Selected as an Incoming Graduate Software Trainee for an entry-level software engineering role involving software development, SDLC, debugging, testing, enterprise application support, and client-focused digital solutions.

Grade: 7.3 CGPA

Pursuing a Bachelor of Engineering in Big Data Analytics with a CGPA of 7.3.

Grade: 81%

Completed senior secondary education with 81% marks.

Grade: 87%

Completed secondary education with 87% marks.