I'm an Artificial Intelligence and Machine Learning Engineer passionate about turning data into actionable insights. Welcome to my GitHub profile!

I'm a self-driven and analytical Machine Learning Engineer with over four years of experience in Python programming, data analysis, visualization, and AI-based model development. My expertise includes predictive modeling, data cleaning, and statistical analysis. I leverage advanced technologies to drive business growth, and I'm known for my strong problem-solving abilities and excellent communication skills.

May 2021 - Present

• 📊 Provided data analysis, machine learning model training, and Excel-related services to US clients.
• 💼 Conducted financial analysis, constructed portfolios, and performed quantitative research.

December 2007 - May 2021

• 📅 Managed daily operations, production schedules, and supervised staff.
• 🚀 Streamlined production processes and improved efficiency.

Master of Computer Applications (MCA) in Machine Learning
Amity University (CGPA: 9.01) - Graduated: June 2024

• Deep Learning and Neural Networks - Tata Consultancy Services, Feb 2024
• Social Media and Text Analytics - Tata Consultancy Services, Feb 2024
• Artificial Intelligence for Real-World Application - Tata Consultancy Services, July 2023
• Machine Learning for Real-World Application - Tata Consultancy Services, July 2023
• Advanced Excel - Amity University, Jan 2024
• Basic Mathematics - Amity University, Jan 2024
• Leadership and Motivation in Organization - Amity University, Jan 2024
• Principles of Retailing - Amity University, Jan 2024
• Strategic Human Resource Management - Amity University, Jan 2024

• AI-Based Equities Investment Model: Developed an investment model with 50-55% accuracy, continuously learning from real-world data.
• Recommendation System Using Collaborative Filtering: Built a recommendation system in Python to enhance user personalization and engagement.
• Loan Approval Prediction Model: Created a model for a nationalized bank, significantly improving the efficiency of the loan approval process.
• Handwritten Letter Classification: Trained a model to recognize handwritten letters from an Indian language using neural networks and SVM.
• Factors Affecting GDP: Analyzed factors influencing GDP using various models, providing critical economic insights.
• Rainfall Data Analysis: Conducted exploratory analysis and forecasting of rainfall data, aiding in weather prediction and disaster management.
• YouTube Engagement Analysis: Analyzed views and comments using the YouTube API, gaining insights into audience engagement and content popularity.

Automate Detection of Emotions from Text April 2024 - Present

• Implemented NLP techniques to analyze and predict emotions with high accuracy.

Build a Classification Model for Drug Trials June 2024 - Present

• Developed a robust classification model, enhancing prediction accuracy for clinical outcomes.

I'm always open to new projects, creative ideas, and opportunities to collaborate. Feel free to explore my repositories, and let's create something amazing together! 🚀