m
muh_zafran

Zafii ML

@muh_zafran

From raw data to intelligent ML models, fast and accurate

Pakistan
English, Urdu
About me
ML Engineer | Arch Technologies Intern | 98.6% spam detection & 99.2% digit recognition accuracy. I build real, deployed ML web apps — not just notebooks. Live app: zafii-diabetes-prediction.streamlit.app Skills: Classification, Regression, NLP, Time Series Forecasting, Computer Vision, Data Analysis (Python, TensorFlow, Scikit-learn, Streamlit, Pandas) 11 internship projects. 14 certifications (Simplilearn, GDG, Anthropic, Arch Technologies, and excelerate, etc.). Clean code. On-time delivery. 100% satisfaction guaranteed. Message me — I respond within 1 hour.... Read more

Skills

m
muh_zafran
Zafii ML
Offline • 

See my services

Machine Learning
I will build a custom machine learning model and web app for your dataset using python
From$90 / projectMore details
AI Integrations
I will build a time series forecasting model for sales and stock prediction using ml
From$90 / projectMore details

Portfolio

Work experience

Machine Learning Engineer

CS Technologies • Part-time

Feb 2026 - Present • 3 mos

Working as a part-time Machine Learning Engineer, designing and developing ML solutions for real-world business problems. Responsibilities include data preprocessing, feature engineering, building predictive models using supervised and unsupervised learning techniques, and deploying models as web applications using Python and Streamlit. Focused on delivering clean, well-documented, and production-ready code with measurable results

ML Engineer

IMS Peshawar • Part-time

Sep 2024 - Present • 1 yr 8 mos

Developing and deploying machine learning models as a part-time ML Engineer, working on real-world projects including predictive analytics, classification, and time series forecasting. Built and launched multiple ML web applications using Python, Scikit-learn, and Streamlit, including a live Diabetes Prediction app deployed on Streamlit Cloud. Focused on clean code, model accuracy, and practical AI solutions.

Internee

Arch Technologies Internship • Freelance

Jul 2025 - Dec 2025 • 5 mos

Completed an ML internship where I built and deployed 4 real-world machine learning projects: Email Spam Detection (98.6% accuracy), MNIST Handwritten Digit Recognition (99.2% accuracy), Housing Price Prediction using regression, and Iris Flower Classification. Worked with Python, Scikit-learn, TensorFlow, Pandas, and NumPy. Gained hands-on experience in data preprocessing, model training, evaluation, and optimization.