constcoder={name:'Ayush Kumar Sahu',skills:['React', 'NextJS', 'Redux', 'Express', 'NestJS', 'MySql', 'MongoDB', 'Docker', 'AWS'],hardWorker:true,quickLearner:true,problemSolver:true,hireable:function() {return(this.hardWorker&&this.problemSolver&&this.skills.length>=5);};};Who I am?
Hi, I’m Ayush Kumar Sahu, a passionate and self-motivated Software Developer with a strong interest in Full-Stack Web Development, Artificial Intelligence, Data Science, and Machine Learning. I enjoy building real-world applications using JavaScript, React, Node.js, and modern web technologies, while exploring intelligent, data-driven solutions. I am a quick learner who loves solving problems, experimenting with new tools, and continuously improving my technical skills through hands-on projects and practical experience.
(2 Months)
Python Developer Intern
CodeZeal Private Ltd.
(2 Months)
Full-Stack Web Developer
InternCourse
(2 Months)
Data Science Intern
CodSoft
(2 Months)
Machine Learning Intern
Prodigy InfoTech
(2 Months)
Java Programming
Vaishnav Technologies Pvt. Ltd.
Chulha Chawki – Food Delivery Web App
constproject={name:'Chulha Chawki – Food Delivery Web App',tools: ['React', 'Node.js', 'Express', 'MongoDB', 'Stripe API', 'JWT Authentication', 'Cloudinary', 'REST APIs],myRole:Full Stack Developer,Description: I designed and developed a full-stack food delivery e-commerce web application named Chulha Chawki. The platform allows users to browse food items, add items to cart, place orders, and make secure online payments. I implemented user authentication, role-based access for admin and users, order management, and real-time order tracking. The backend APIs were built using Node.js and Express, with MongoDB used for database management. Stripe was integrated for secure payment processing, and Cloudinary was used for image storage. The application focuses on performance, scalability, and a smooth user experience.,};Real-Time Face Recognition Attendance System
constproject={name:'Real-Time Face Recognition Attendance System',tools: ['Python', 'OpenCV', 'Face Recognition', 'NumPy', 'Pandas', 'Machine Learning', 'Computer Vision],myRole:Python & Machine Learning Developer,Description: I designed and developed a real-time face recognition–based attendance system using computer vision and machine learning techniques. The system captures live video input through a camera, detects faces, and recognizes registered individuals to automatically mark attendance. Face data is trained using a preprocessed dataset, and attendance records are stored with timestamps for accuracy. The application reduces manual effort, prevents proxy attendance, and improves reliability. It is suitable for classrooms, offices, and organizations seeking an automated attendance solution.,};CodSoft Data Science Internship Projects
constproject={name:'CodSoft Data Science Internship Projects',tools: ['Python', 'Pandas', 'NumPy', 'Matplotlib', 'Seaborn', 'Scikit-learn', 'Machine Learning', 'Data Analysis],myRole:Data Science Intern,Description: As part of my Data Science internship at CodSoft, I successfully completed multiple machine learning projects focusing on data preprocessing, exploratory data analysis, feature engineering, model training, and evaluation. The projects include Titanic Survival Prediction (classification), Movie Rating Prediction (regression), Iris Flower Classification, and Sales Prediction. Each project involved working with real-world datasets, implementing supervised learning algorithms, evaluating model performance using appropriate metrics, and presenting insights through visualizations. These projects strengthened my understanding of end-to-end machine learning workflows and practical problem-solving.,};Movie Rating Prediction System
constproject={name:'Movie Rating Prediction System',tools: ['Python', 'Pandas', 'NumPy', 'Scikit-learn', 'Machine Learning', 'Data Preprocessing', 'Regression Models', 'Jupyter Notebook],myRole:Machine Learning Developer,Description: Developed a machine learning-based movie rating prediction system using historical movie datasets. The project analyzes features such as genre, user ratings, and reviews to predict movie ratings. Implemented data preprocessing, feature engineering, and regression models to improve prediction accuracy. The system helps understand user preferences and supports recommendation-based platforms.,};Sales Prediction Using Machine Learning
constproject={name:'Sales Prediction Using Machine Learning',tools: ['Python', 'Pandas', 'NumPy', 'Matplotlib', 'Seaborn', 'Scikit-learn', 'Machine Learning', 'Data Analysis],myRole:Data Science Intern,Description: Built a sales prediction model using historical sales data to forecast future sales trends. Performed data cleaning, exploratory data analysis, and feature selection to improve model accuracy. Implemented regression algorithms to identify patterns and assist businesses in demand forecasting and strategic decision-making.,};House Price Prediction Using Linear Regression
constproject={name:'House Price Prediction Using Linear Regression',tools: ['Python', 'Linear Regression', 'Scikit-learn', 'Pandas', 'NumPy', 'Matplotlib', 'Machine Learning', 'Data Visualization],myRole:Machine Learning Developer,Description: Implemented a house price prediction system using linear regression techniques. The model predicts property prices based on features such as location, area, number of bedrooms, and amenities. Conducted data preprocessing, correlation analysis, and model evaluation to ensure accurate predictions.,};Customer Segmentation Using K-Means Clustering
constproject={name:'Customer Segmentation Using K-Means Clustering',tools: ['Python', 'K-Means Clustering', 'Unsupervised Learning', 'Scikit-learn', 'Pandas', 'NumPy', 'Matplotlib', 'Data Visualization],myRole:Data Analyst,Description: Developed a customer segmentation model using K-Means clustering to group customers based on purchasing behavior. The project analyzes customer demographics and transaction history to identify meaningful segments. This helps businesses design targeted marketing strategies and improve customer retention.,};Hand Gesture Recognition Using Machine Learning
constproject={name:'Hand Gesture Recognition Using Machine Learning',tools: ['Python', 'OpenCV', 'Computer Vision', 'Machine Learning', 'MediaPipe', 'NumPy', 'Scikit-learn', 'Real-Time Processing],myRole:Machine Learning Engineer,Description: Built a hand gesture recognition system using machine learning and computer vision techniques. The application captures real-time hand movements through a camera, extracts features, and classifies gestures accurately. The system can be applied in human-computer interaction, virtual control systems, and assistive technologies.,};2023 - Present
Diploma in Computer Science & Engineering
Srinath University
2014 - 2023
Higher Secondary
Dayanand Public School
2014
Schooling
Future Foundation School
AI-powered project management using ClickUp focuses on leveraging AI tools to automate task planning, prioritize work, track progress, and improve team productivity through smart insights and workflow optimization.
Issuer: Udemy
Completed: 2025-10-16
A Python programming internship at Codezeal Technology Pvt. Ltd. focuses on building real-world coding skills, working on practical projects, and learning Python development best practices under professional guidance.
Issuer: CodeZeal Technology Pvt. Ltd.
Completed: 2025-10-4
Python for Data Science from Saylor Academy teaches Python fundamentals and data analysis techniques, including working with libraries like NumPy and pandas to manipulate, analyze, and visualize data effectively.
Issuer: Saylor Academy
Completed: 2025-10-20
ntroduction to Generative AI by SkillUp (powered by Google Cloud) is a course that covers the fundamentals of generative artificial intelligence, including key concepts, models, and practical applications using Google Cloud tools and technologies.
Issuer: SkillUp
Completed: 2023-09-05
A Java programming internship at Vaishnav Technologies provides hands-on experience in Java development, practical project work, and mentorship to strengthen coding skills and software engineering fundamentals.
Issuer: Vaishnav Technologies Pvt. Ltd.
Completed: 2024-08-21
Data Visualization from Forage (powered by TATA) is a course that teaches how to interpret and present data visually using charts, graphs, and tools to make insights clear and actionable for decision-making.
Issuer: Forage
Completed: 2025-10-17
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