Computer Science @ JIIT
CS student building a strong base in software engineering and problem solving.
Open to Job/internship opportunities
Ansh Kumar
Computer Science Student at JIIT, Noida
Ex-Data Science Intern at The Developers Arena
Building full-stack and data-driven products with a focus on software engineering, AI, and data science.
Recruiter Snapshot
The signal in 10 seconds.
Data Science Intern
Previously interned at The Developers Arena working with practical data workflows.
Full-Stack + AI Projects
Projects span React, TypeScript, Node.js, PostgreSQL, Python, and ML.
Open to Internships
Seeking software engineering, full-stack, data science, and AI/ML roles.
Featured Work
Projects built for real product and data problems.
A focused mix of full-stack engineering, machine learning, and data analysis work.
SmartGym AI
Full-StackFlagship
SmartGym AI
AI-powered fitness platform for Exercise Pose correction and diet planning.
ReactTypeScriptNode.jsPostgreSQL
- AI-powered pose detection and form correction
- Personalized workout and diet planning
- Full-stack architecture with a typed frontend and relational database
Fraud Detection System
Machine Learning
FraudLens
Machine learning project for detecting fraudulent activity using classification algorithms.
PythonPandasScikit-Learn
- Data preprocessing and feature preparation
- Classification-based fraud prediction
- Model experimentation and evaluation workflow
Air Quality Trend Analysis
Data Analysis
InsightAir
Data analysis project exploring air quality trends through cleaning, visualization, and forecasting direction.
PythonPandasNumPyMatplotlib
- Historical air quality trend analysis
- Visualizations for communicating changes over time
- Forecasting-oriented exploration from past patterns
Experience
Practical exposure beyond coursework.
Internship experience focused on data workflows, analysis, and applied machine learning fundamentals.
Data Science Intern
The Developers Arena
Remote1 month
Worked as a Data Science Intern, applying Python-based data analysis and machine learning workflows to practical datasets and problem statements.
Achievements
- Performed data cleaning, preprocessing, and transformation on real-world datasets
- Built predictive machine learning models and evaluated performance using appropriate metrics
- Conducted exploratory data analysis to identify trends, patterns, and actionable insights
PythonPandasNumPyScikit-Learn
About
Building at the intersection of software and data.
I am a Computer Science student at JIIT with interests in full-stack development, software engineering, AI, and data science.
I enjoy building practical products, working with modern web technologies, and applying machine learning techniques to solve real-world problems.
I have experience through a Data Science Internship at The Developers Arena and projects including SmartGym AI, Fraud Detection System, and Air Quality Trend Analysis.
Full-Stack DevelopmentSoftware EngineeringAIData Science
Skills
Practical stack for full-stack and data-focused work.
A focused set of technologies used across projects, internships, and applied problem solving.
Languages
C++PythonJavaScriptTypeScript
Frontend
ReactNext.jsHTMLTailwind CSS
Backend
Node.jsExpress.jsREST APIs
Databases
PostgreSQLMongoDBMySQL
Data Science
PandasNumPyScikit-Learn
Tools
GitGitHubFigmaVS CodeStreamlit