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Ankush Kumar

Ankush Kumar

Master's Student in Computer Science

India $30/hr Remote Full-time 85 ยท Excellent

About

Master's student in Computer Science, expected to graduate in July 2026, with a strong foundation in programming and web development. Hands-on experience through academic and personal projects involving JavaScript, ReactJS, NodeJS, and C++. Passionate about building user-centric, scalable applications and continuously learning new technologies.

Skills & Expertise (43)

Python Intermediate
7.5/10
1
Years Exp
ReactJS Intermediate
6.5/10
1
Years Exp
Node.js Intermediate
6.5/10
1
Years Exp
Data Structures & Algorithms Intermediate
6.5/10
1
Years Exp
CSS Intermediate
6.0/10
1
Years Exp
scikit-learn Intermediate
6.0/10
1
Years Exp
REST APIs Intermediate
6.0/10
1
Years Exp
Express.js Intermediate
6.0/10
1
Years Exp
Git Intermediate
6.0/10
1
Years Exp
GitHub Intermediate
6.0/10
1
Years Exp
Postman Intermediate
6.0/10
1
Years Exp
Support Vector Machine Intermediate
6.0/10
1
Years Exp
MongoDb Intermediate
6.0/10
1
Years Exp
HTML Intermediate
6.0/10
1
Years Exp
Naive Bayes Intermediate
6.0/10
1
Years Exp
Logistic Regression Intermediate
6.0/10
1
Years Exp
JavaScript Intermediate
6.0/10
1
Years Exp
SQL Intermediate
6.0/10
1
Years Exp
Random Forest Intermediate
6.0/10
1
Years Exp
Decision Tree Intermediate
6.0/10
1
Years Exp
Razorpay Intermediate
5.5/10
1
Years Exp
Streamlit Intermediate
5.5/10
1
Years Exp
JWT Intermediate
5.5/10
1
Years Exp
BCrypt Intermediate
5.5/10
1
Years Exp
React Router Intermediate
5.5/10
1
Years Exp
SentenceTransformers Intermediate
5.0/10
1
Years Exp
Whisper Intermediate
5.0/10
1
Years Exp
EasyOCR Intermediate
5.0/10
1
Years Exp
ChromaDB Intermediate
5.0/10
1
Years Exp
Gemini API Intermediate
5.0/10
1
Years Exp
Mongoose MongoDB Compass VS Code NodeJS Tailwind CSS REDUX DBMS Operating systems Object-Oriented Programming Taiwind CSS Communication Statistics C++

Work Experience

Project Intern

National Institute of Technology, Tiruchirappalli

Present - Jun 2025

Developed a machine learning-based student dropout prediction system using Python, analyzing academic performance, attendance, and demographic data to identify at-risk students. Implemented and compared multiple classification models including Logistic Regression, Random Forest, Decision Tree, Naive Bayes, and Support Vector Machine (SVM), with Random Forest achieving the best accuracy. Performed data preprocessing, feature engineering, and model evaluation using Scikit-learn, achieving 85%+ accuracy; leveraged Precision, Recall, and Confusion Matrix metrics to support data-driven decision making.

Education

Masters in computer science

2024 - 2026 ยท India

Certifications

No certifications added yet

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Profile Score Breakdown

๐Ÿ“ท Photo 10/10
๐Ÿ“„ Resume 10/10
๐Ÿ’ผ Job Title 10/10
โœ๏ธ Bio 10/10
๐Ÿ› ๏ธ Skills 20/20
๐ŸŽ“ Education 10/10
โฑ๏ธ Experience 5/15
๐Ÿ’ฐ Rate 5/5
๐Ÿ† Certs 0/5
โœ… Verified 5/5
Total Score 85/100

Profile Overview

Member sinceJan 2026
ExperienceBeginner
Work ModeRemote
AvailabilityFull-time

Availability Details

Current Company

Student

Visa Status

No Visa

Relocation

Not Open to Relocation