AASHISH KUMAR MANDHYANI
Siliguri,West Bengal
Summary
SMART LENDER project contributor building a loan-approval prediction model with Random Forest, Gradient Boosting, KNN, and Decision Tree. Evaluates model quality with accuracy, precision, recall, and F1-score, then uses feature selection and exploratory data analysis to improve interpretability. Delivers predictions through a Flask interface with a responsive web front end. Transitioning from technology-driven environment with focus on problem-solving and software development. Developed skills in project management, coding, and system analysis, ensuring high-quality software solutions. Seeking new opportunities to leverage these skills in different field, aiming to make meaningful impact.
Overview
3
3
Languages
3
3
Certificates
Work History
SMART LENDER
Team ML Project
- Developed machine learning model predicting applicant credibility for loan approval utilizing classification algorithms including random forest, gradient boosting, KNN, and decision tree.
- Performed hyperparameter tuning and evaluation using accuracy, precision, recall, and F1-score to identify the best-performing model.
- Developed a minimal Flask-based web interface to take user inputs and display predictions, integrated with a modern, responsive frontend.
- Conducted exploratory data analysis (EDA) and feature selection to improve model performance and interpretability.
TOURS AND TRAVEL MANAGEMENT SYSTEM
Team Project
- Engineered C++-based system for managing bookings, tour packages, and customer details.
- Executed modules for destination management booking history and dynamic pricing updates.
- Optimized user experience by implementing intuitive navigation and flexible interface options.
- Proven ability to learn quickly and adapt to new situations.
STOCK MARKET PREDICTION SYSTEM
Research Project
- Engineered model aimed at forecasting stock trends based on probabilistic models and statistical inference techniques.
- Utilized time series analysis and regression techniques to forecast future price movements.
- Depicted outcomes with matplotlib and optimized accuracy by applying historical data smoothing.
Education
B. Tech - Computer Science and Engineering
Vellore Institute of Technology
Physics, Chemistry, Mathematics with Computer Science
Delhi Public School Siliguri
SiliguriSkills
Python
JavaScript
React
Nodejs
Git
Machine learning model development
Data preprocessing
Model evaluation
Exploratory data analysis
Statistical analysis
REST API development
Flask web development
Backend development
Full stack development
Responsive web interfaces
Accomplishments
- Reverse Coding Hackathon - applied problem-solving and algorithmic thinking in competitive coding.
- Mental Health Report on College Students - survey-based study on the accessibility and effectiveness of campus mental health resources.
Certification
Machine Learning Course – SmartBridge & Google - Completed project-based ML training focused on real-world applications and model development.
Timeline
Physics, Chemistry, Mathematics with Computer Science
Delhi Public School Siliguri
SMART LENDER
Team ML Project
TOURS AND TRAVEL MANAGEMENT SYSTEM
Team Project
STOCK MARKET PREDICTION SYSTEM
Research Project
B. Tech - Computer Science and Engineering
Vellore Institute of Technology
Personal Finance & Market Analysis
Managing personal investments, analyzing stock market trends, and exploring investment strategies; also enjoy gaming as a recreational interest.