Skip to content
View arshiafreen090's full-sized avatar
🐥
Learning
🐥
Learning

Highlights

  • Pro

Block or report arshiafreen090

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Content in all repositories owned by your account will be closed.
Maximum 250 characters. Please don’t include any personal information such as legal names or email addresses. Markdown is supported. This note will only be visible to you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
arshiafreen090/README.md

Heyaaa! I'm Afreen >.<

CSE Undergrad | ML Engineer | UIUX desinger


About Me 🍜

I'm a Computer Science undergrad learning to code and build model
I like building things that are not just functional, but feel intuitive and human.


Learning ML
Prev i worked in uiux field


Skills

Languages: Python, C++, SQL
Data Science: Pandas, NumPy, Matplotlib, Seaborn, EDA, Statistics
Machine Learning: Scikit-learn, XGBoost, Feature Engineering, Model Evaluation, SHAP
Analytics: Demand Forecasting, Time-Series Analysis, ETA Prediction, Logistics Analytics
Development: Streamlit, React, Tailwind CSS, Git, GitHub
Tools: Jupyter, VS Code, MySQL, WSL, N8N, Figma, Canva


Connect 🌐



Random Facts (●'◡'●)

→ I try to learn everything and explore broadly
→ I notice small design details most people ignore
→ New tech? I’m on it
→ I focus on building useful, practical solutions


Trying to build, learn, and create something meaningful🌻

Pinned Loading

  1. Delivery-ETA-Prediction-Dark-Store-Analysis Delivery-ETA-Prediction-Dark-Store-Analysis Public

    End-to-end delivery ETA prediction using machine learning, with an extension for geographic dark-store analysis and nearest-store comparison across Blinkit, Zepto, and Instamart.

    Jupyter Notebook

  2. Meal-Demand-Forecasting-XGBoost Meal-Demand-Forecasting-XGBoost Public

    Time-series demand forecasting for a meal delivery business using XGBoost. Uses lag features, rolling statistics, meal/center metadata, pricing, promotions, and Center × Meal historical demand patt…

    Jupyter Notebook

  3. portfolio_ml portfolio_ml Public

    Interactive ML & analytics portfolio built as a pixel-art spaceship with React, TypeScript and Canvas 2D.

    TypeScript

  4. Heart-Disease-Prediction-Streamlit Heart-Disease-Prediction-Streamlit Public

    A Machine Learning web application that predicts the likelihood of heart disease using a trained classification model and an interactive Streamlit interface.

    Jupyter Notebook

  5. Tiny-Projects Tiny-Projects Public

    Some plain tiny projects

    Python