MAYANK TIWARI

Motivated Computer Science undergraduate skilled in data analytics, machine learning, and backend development. Proficient in Python, SQL, and key libraries, with practical experience turning complex data into actionable insights. Continuously building real-world projects to sharpen technical and analytical abilities.

• Supervised Machine Learning: Regression and Classification (Coursera)
• Foundations of Cyber Security (Cisco)
• Google Certified Machine Learning Engineer (Udemy)
• Advanced Power BI: Expert Data Analysis and Visualization (udemy)
• Tableau Simplified (udemy)
• Microsoft Power BI advance (alison)

• IT Role Suitability Radar Graph System, Developed Python-based application to evaluate candidate suitability for IT roles based on certifications and training., Implemented Matplotlib for dynamic radar chart visualizations with weighted scoring algorithms., Created intelligent scoring logic for reputed institutions and impactful internships.
• Credit Card Fraud Detection: A machine learning-based system for detecting fraudulent credit card transactions using Python and scikit-learn. Involves data preprocessing, imbalance handling, and training models like Logistic Regression and Random Forest. Evaluated on accuracy, precision, recall, and F1-score to ensure reliable fraud detection and minimize false positives.
• Messaging Response Interface for Real-Time Support (MRIIRS), Designed real-time query management platform for streamlined student-faculty communication., Implemented instant query resolution system with efficient administrative interaction features.