2026 – 2027
CITS Training — Computer Software Applications (CSA)
National Skill Training Institute (NSTI), Kanpur
Currently pursuing CITS training with a focus on computer software applications.
DATA SCIENCE • MACHINE LEARNING • AI
Hi, I'm Ramesh Singh
Data Science Fresher | Machine Learning & AI Enthusiast
B.Tech Computer Science graduate and CITS trainee building practical solutions with data analysis, machine learning, computer vision, and AI technologies.
Based in
Gorakhpur, Uttar Pradesh
Current focus
Data Science & AI/ML
ABOUT ME
Building practical AI and data-driven solutions.
I am a Computer Science and Engineering graduate with a strong interest in Data Science, Machine Learning, Artificial Intelligence, and Computer Vision. My academic and project work has given me hands-on experience with data preprocessing, exploratory data analysis, feature engineering, model evaluation, and computer-vision pipelines.
I have worked on machine learning regression and real-time AI surveillance projects using Python and industry-relevant libraries and tools. I have also completed AI/ML-focused training with Edunet Foundation through Microsoft and IBM SkillsBuild programs.
8.5B.Tech CGPA
2Featured Projects
2AI/ML Internships
5Certifications
EDUCATION
Academic journey
2022 – 2026
B.Tech — Computer Science and Engineering
Veer Bahadur Singh Purvanchal University
CGPA: 8.5 / 10.00
2022
Intermediate — Class XII (PCM)
Naval's National Academy, Gorakhpur, Uttar Pradesh
Percentage: 84.8%
2020
High School — Class X
Percentage: 89%
SKILLS
Technical toolkit
Data Science & ML
Computer Vision & AI
Programming & Data
Tools & Platforms
PROJECTS
Selected work
01
Employee Salary Prediction
Built an end-to-end machine learning regression pipeline to predict employee salaries using features such as experience, education level, job role, and department. Performed exploratory data analysis and feature engineering on an HR dataset.
View on GitHub ↗
02
Campus Safety & Surveillance System
Developed a real-time AI surveillance system integrating YOLOv8 object detection, face_recognition, and MediaPipe pose estimation with multi-threaded video processing. Built a Streamlit dashboard for live monitoring and alert generation.
View on GitHub ↗INTERNSHIP & TRAINING
Industry-focused learning
June 2025 • 4 Weeks
Microsoft
AICTE – Microsoft AI & Azure Virtual Intern
Edunet Foundation
Worked with Microsoft Azure AI and Azure Machine Learning Studio, covering classification, feature selection, hyperparameter tuning, model training, endpoint deployment, and performance monitoring.
Achievement
Designed and deployed a cloud-based ML classification model on Microsoft Azure, achieving 91% prediction accuracy through feature selection, hyperparameter tuning, and iterative model validation.
Project GitHub ↗
June – July 2025 • 6 Weeks
IBM SkillsBuild
AICTE – IBM SkillsBuild AIML Intern
Edunet Foundation
Covered supervised machine learning, logistic and linear regression, EDA, feature engineering, data preprocessing, missing values, outliers, and GitHub version control.
Achievement
Trained and evaluated supervised machine learning models on a real-world dataset, achieving 88% accuracy.
CERTIFICATIONS
Credentials & learning milestones
GET IN TOUCH
Let's connect.
Open to opportunities where I can apply my data science, machine learning, and AI skills.