Education

Projects

Application of Monte Carlo Simulation for Risk Assessment in Trading (Link)

Developed an application leveraging Monte Carlo Simulation to assess risk in trading scenarios

Statistical Technique: Normal distribution, Monte Carlo Simulator, Random Sampling, Cumulative Product

Python Libraries: Pandas, Numpy, Matplotlib

Web Deployment: streamlit

Facial Emotion Recognition System

Created a facial emotion recognition system using machine learning and Python.

Libraries Used: OpenCV, Matplotlib

Stock Market Analysis

Conducted thorough stock market analysis for 5 Indian banks and calculated ROI for each one. Deployed Random

Forest Regression to predict future prices (accuracy - 0.9997).

Model Used: Random Forest Regressor

WeatherSky Explorer

Developed a responsive and visually appealing Weather App using HTML, CSS, and JavaScript.

Implemented user-friendly features including a search input for city names and a button for quick weather information retrieval.

Integrated OpenWeatherMap API to fetch real-time weather data, enhancing the application's accuracy and reliability.

Deployed Weather App on Microsoft Azure for global accessibility, showcasing proficiency in cloud computing and real-time data delivery

Involvement

Associate Member - AISOC Technical Society 2023 - Present

Kalinga Institute of Industrial Technology

Achievements

• Qualified for Round 1 of Google Code Jam 2022→Qualifying Mail

• Finalist in AISOC Hackathon -AI Alchemy(ML Project)→Certificate

Certifications

• HackerRank Problem Solving (Basic)

• HackerRank Problem Solving (Intermediate)

Skills

I have cultivated proficiency in various domains, including: