Bikram Tamang
Computer Science Student | Aspiring AI & Cybersecurity Professional
Professional Summary
A highly motivated and adaptable B.Sc. in Computer Science and Information Technology student with a strong foundation in programming, data structures, and algorithms. Eager to apply skills in Python, AI, and cybersecurity to solve real-world problems. Proven ability to quickly learn and apply new technologies, demonstrated through completed projects in machine learning, computer vision, and data analysis. Seeking to leverage technical and problem-solving skills to contribute to a dynamic team.
Technical Skills
This chart provides a visual breakdown of my technical abilities across different domains. You can hover over the bars for more details. A full list of skills is provided below for reference.
Languages
Python, C, C++
AI & Data Science
NumPy, Pandas, Scikit-learn, Jupyter Notebook, Google Colab
Frameworks
OpenCV, YOLO
Cloud
AWS EC2, S3, IAM
Cybersecurity
Network Scanning, Vulnerability Analysis, Penetration Testing
Tools
Git/GitHub, VS Code, MySQL
Projects
Here are some of the key projects I've worked on. Click on any project card to expand it and see more details about the implementation and technologies used.
Face Detection and Recognition System
Python, OpenCV
Developed a real-time face detection and recognition system. Implemented algorithms for capturing, processing, and analyzing video frames to identify and recognize human faces.
Object Detection using YOLO
Python, YOLO Framework
Utilized the YOLO (You Only Look Once) framework to build an efficient object detection model. Trained and deployed a model capable of identifying multiple objects within images and video streams with high accuracy.
Fake News Detection
Python, Scikit-learn, NLP
Engineered a machine learning model to classify news articles as either "real" or "fake." Employed Natural Language Processing (NLP) techniques and supervised learning algorithms on a public dataset to achieve robust performance.
Sentiment Analyzer
Python, Scikit-learn, NLTK
Built a sentiment analysis tool to determine the emotional tone of text. Used Python with libraries like Scikit-learn and NLTK to process text data and classify it as positive, negative, or neutral.
Email Classifier
Python, Machine Learning
Created a spam filter using a machine learning model. Trained the model on a dataset of emails to accurately categorize them as either "Spam" or "Not Spam," significantly improving email management.
Certifications & Training
Aug - Oct 2024
AWS Solution Architect Training
Broadway Infosys (90 Hours)
Aug - Oct 2024
Ethical Hacking Training
Broadway Infosys (90 Hours)
Jan - May 2023
Python with Artificial Intelligence (AI)
Broadway Infosys (180 Hours)
Education
B.Sc. in Computer Science and Information Technology (CSIT)
Rajarshi Janak University, Tech Al College
September 2025 - Present
Key Courses: Programming, Mathematics, Data Structures, Discrete Structures