Abhishek Amgain
AI & Machine Learning Enthusiast
Transforming data into meaningful insights and building intelligent systems that solve real-world problems
Skilled in creating sales and marketing dashboards using data visualization tools like Tableau and PowerBI
Proficient in Python, TensorFlow, and scikit-learn, with strong data analysis and model development skills
Created a detailed repository on machine learning topics, demonstrating practical application of theory
Eager to keep learning and contribute to AI advancements
Work experience in software engineering with skills in ReactJS, Spring, Bootstrap, AWS, APIs, and SQL
Passionate about converging software development and AI/machine learning to drive innovation
About Me
From QBASIC to AI
Growing up in rural Nepal, I first discovered coding through QBASIC on my school's only computer. The thrill of making that blinking cursor obey my commands sparked a lifelong passion for technology.
Now pursuing a double major in Computer Science and Mathematics, I'm on the path to becoming a Machine Learning Engineer. I specialize in NLP and computer vision, transforming complex problems into elegant AI solutions.
Education Journey
My academic path from foundational studies to specialized AI education
Oxford College of Engineering and Management
Skills Radar
Focus Areas Proficiency
University of Louisiana at Monroe
Skills Radar
Focus Areas Proficiency
My Skills
Programming
ML & AI
Frameworks
Tools
Programming
ML & AI
Frameworks
Tools
Professional Journey
My career path through innovative companies and impactful roles
IBM LED
Software Engineer Intern
Key Contributions
- Collaborated with peers on various software development projects, contributing to a 30% improvement in application efficiency
- Managed and optimized databases, improving query performance by 25%
- Reduced system errors by 20% through rigorous testing and debugging
- Created NLP-powered chatbots enhancing customer engagement
Technologies Used
Qatar Airways
Data Analyst Intern
Key Contributions
- Developed data models improving decision-making by 15%
- Identified trends leading to 10% revenue optimization
- Created interactive dashboards in Tableau/PowerBI
Technologies Used
US Dept of Education
Tutor
Key Contributions
- Tutored first-generation students in TRIO program
- Built problem-solving and analytical skills
- Organized coding workshops in Monroe area
Technologies Used
Research Presentations
My academic research contributions presented at conferences
LAS Conference Award Winner
Won the best oral presentation for my IP subnetting teaching tool.
Biomedical Research Day 2024
Presented cancer disparities research using Python data analysis.
Research Papers
Upcoming Research
I am currently in the process of writing a research paper that delves into advanced topics in Machine Learning. This work aims to offer fresh insights and innovative approaches in the world of AI.
Stay tuned! This page will be updated once the paper is published.
My Projects
A showcase of my technical projects and contributions
Amazon Sentiment Analysis
A NLP based web app that classifies Amazon Echo product reviews as positive/negative using machine learning.
House Price Prediction
Flask web app that predicts Bangalore house prices using linear regression with 88-92% accuracy based on location, area, and room features.
Placeaway - AI-Powered Trip Planner
Modern travel app using AI to generate personalized itineraries with real-time assistance, budget tracking, and interactive planning.
Google Stock Price Pattern Prediction
LSTM and RNN model that forecasts Google stock prices with 79% accuracy using historical time-series data.
Movie Recommender System
Content-based recommender system that suggests similar movies by analyzing plot similarities using cosine similarity and NLP techniques.
Grant Application Management System
Streamlined application submission platform for Emerging Scholars program at ULM Computer Science Department.
Latest Articles
Insights and tutorials on AI, machine learning, and technology trends
