Portfolio - Aryan | Codebasics

About Me

I’m a Data Science and Machine Learning professional with hands-on experience building end-to-end AI solutions across FinTech, Retail, Healthcare, and E-commerce domains. My work focuses on turning data into actionable insights through well-designed machine learning models and scalable deployments.

I’m skilled in Python, SQL, Machine Learning, Deep Learning, and NLP, and I enjoy working across the full ML lifecycle—from exploratory data analysis and feature engineering to model deployment using Streamlit and FastAPI. I’ve built real-world projects involving computer vision, sentiment analysis, credit risk modeling, and recommendation systems, always with a strong emphasis on business impact and performance optimization.

Currently pursuing a B.Tech in Computer Science, I’m continuously learning and experimenting with modern AI tools such as Transformers, RAG systems, and Generative AI, with the goal of building intelligent, user-centric products.

Key Skills

Technical Skills: Python, SQL, Power BI, Machine Learning, Deep Learning, NLP, Generative AI

Tools & Platforms: Streamlit, FastAPI, Git, GitHub

Soft Skills: Communication, Problem Solving, Analytical Thinking

My Experience

Data Science Intern

Atiq Technologies (Remote)
Aug 2025 – Dec 2025

I worked as a Data Science Intern where I designed and deployed end-to-end machine learning solutions across multiple real-world domains including healthcare, finance, and retail.

Built complete ML pipelines covering data cleaning, exploratory data analysis, feature engineering, model training, and deployment.
Improved model performance by 15–25% using advanced feature engineering, cross-validation, and hyperparameter tuning techniques.
Developed interactive ML web applications using Streamlit, enabling real-time predictions for over 100+ test users.
Deployed machine learning models using FastAPI REST APIs, reducing inference latency by approximately 30%.
Collaborated on industry-simulated projects following the full ML lifecycle, including documentation, version control, and result presentation.