I will build, train, and optimize machine learning models and deploy on streamlit
Data Science and ML
About this Gig
I will build, train, and optimize machine learning models and deploy on Streamlit
I'm a Computer Science student specializing in applied machine learning and data science, with hands-on experience across the full ML pipeline from raw data to a deployed, working solution.
What you get:
- Model building & training (classification, regression, clustering)
- Deep learning for image, text, or tabular data
- Data cleaning, preprocessing & feature engineering
- Model evaluation, comparison & hyperparameter tuning
- Working Streamlit app so you can interact with your model live
- Full documentation and source code included
Background:
Completed a Data Science & Analytics internship at DevelopersHub Corporation. Hold the IBM Data Science Professional Certificate, NLP Specialization, and Math for ML: Linear Algebra certifications.
Delivered projects: customer churn prediction, machine failure prediction, emotion detection app, movie recommendation system, EV resale value predictor, house price predictor.
I build clean, explainable models not black boxes. You'll understand what your model does and why, not just receive a file.
Send me your dataset and goal, and I'll reply with a clear plan before we star
Programming language:
Python
•
SQL
Frameworks:
Scikit-learn
•
Keras
•
Panda
APIs:
Other
Tools:
Jupyter Notebook
•
OpenCV
•
TensorFlow
•
Excel
•
Colab

