Skip to content
View tanishaasaklani's full-sized avatar
3 followers · 0 following

Block or report tanishaasaklani

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.

Maximum 250 characters. Please don't include any personal information such as legal names or email addresses. Markdown supported. This note will be visible to only you.
Report abuse

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

Report abuse
tanishaasaklani/README.md

👩‍💻 ABOUT ME

Hey there! I’m Tanisha Saklani.

I build Machine Learning models and turn messy datasets into stories that actually make sense. Right now, I’m focused on creating end-to-end ML projects — starting from raw data and taking them all the way to real, usable solutions.

What I'm Up To

  • Building practical, real-world ML projects from scratch to deployment
  • Learning by breaking things, fixing them, and improving step by step

I believe the best way to learn ML is to just build stuff. So that's what I do – one project at a time, one bug at a time. I'm all about practical solutions over theoretical perfection.

Let’s Connect If

  • You’re working on interesting ML/Data Science projects
  • You’re learning AI/ML and love geeking out about data
  • You want to collaborate or talk about building cool stuff together

Fun Fact

When I'm not coding: Probably debugging why my model thinks a chihuahua is a muffin 🐕🧁

🌐 Socials

LinkedIn Email

💻 Skills & Tools:

Python R NumPy Pandas Matplotlib Scipy scikit-learn TensorFlow Keras PyTorch Plotly OpenCV Streamlit FastAPI Flask SQLite MySQL Git GitHub Power BI

Popular repositories Loading

  1. employee-attrition-risk-prediction-system employee-attrition-risk-prediction-system Public

    A Logistic Regression system that predicts employees at risk of leaving before they actually do.

    Jupyter Notebook 1

  2. CafePulse CafePulse Public

    A Streamlit ML app that predicts daily cafe revenue using a Decision Tree Regressor model.

    Jupyter Notebook 1

  3. human-activity-recognition human-activity-recognition Public

    Human Activity Recognition using Support Vector Machine (SVM) on smartphone sensor data, achieving high accuracy in classifying daily activities like walking, sitting, and standing.

    Jupyter Notebook 1

  4. PriceWise-AI PriceWise-AI Public

    End-to-end Machine Learning project that predicts optimal product discount and estimates revenue impact using LightGBM and Streamlit.

    Jupyter Notebook 1

  5. Face-Recognition-Attendance-System Face-Recognition-Attendance-System Public

    Real-time attendance system using Python & OpenCV with facial recognition and automated CSV logging

    Python

  6. fuel-consumption-predictor fuel-consumption-predictor Public

    Interactive Streamlit app for predicting vehicle fuel consumption using machine learning Polynomial regression.

    Python