Pythonscikit-learnMLflow
Telecom Churn Prediction
Production-grade telecom churn prediction system: a config-driven scikit-learn pipeline with SHAP explainability, MLflow experiment tracking and FastAPI serving, trained on…
Building reliable data & AI systems
Muhammad Farooq
Data Engineer · AI Engineer · Data Scientist
01 · About
From raw data to reliable, production-grade systems.
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Muhammad Farooq
Data Engineer · AI Engineer · Data Scientist
0
Projects shipped
0
Certifications
0
Roles & simulations
02 · Tech Stack
Tools I use to move data — and make it useful.
Data Engineering
Python
92%
SQL
90%
Apache Spark
78%
Apache Airflow
80%
Kafka
70%
dbt
82%
ETL / ELT
88%
Data Warehousing
85%
Cloud & Platforms
Snowflake
75%
Databricks
72%
Azure
76%
AWS
74%
GCP
68%
Docker
84%
Kubernetes
65%
Linux
80%
AI & Machine Learning
Machine Learning
88%
Deep Learning
75%
TensorFlow
72%
PyTorch
74%
Scikit-learn
90%
LLMs & RAG
78%
LangChain
70%
Generative AI
80%
Analytics & Tools
Pandas / NumPy
92%
Power BI
70%
Tableau
68%
Excel
85%
FastAPI
80%
Streamlit
78%
Git & GitHub
90%
OpenCV
65%
03 · Selected Work
All projects →
Projects built to run in production, not just in a notebook.
PythonSQLETL
Marketing Analytics Data Pipeline
An end-to-end marketing analytics data pipeline that ingests, transforms and models campaign data for reporting.
PythonRAGLLMs
Knowledge-Base Search (RAG)
A knowledge-base search system built with retrieval-augmented generation for accurate, grounded question answering.
PythonTime SeriesForecasting
Energy Demand Forecasting
A time-series forecasting system for energy demand, built for planning and load-balancing use cases.
PythonGraph AnalysisNetworkX
Organizational Network Analysis
Graph-based analysis of organizational networks to surface influence, collaboration and communication patterns.
Pythonscikit-learnMachine Learning
Fraud Detection System
A classical machine learning system for detecting fraudulent transactions with a focus on precision/recall trade-offs.
04 · Open Source
Building in public.
A live snapshot of my GitHub activity — commits, streaks and languages.
View GitHub profile →
05 · Experience
Where I've applied it.
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Apr 2025 – Aug 2025 · Remote
Machine Learning Engineer — CodeAlpha
Machine Learning Engineer (Internship) · CodeAlpha
Developed and implemented machine learning models for real-world applications using Python, TensorFlow and scikit-learn. Performed data preprocessing, feature selection and model tuning, and collaborated with cross-functional teams to integrate ML solutions into existing products.
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Jun 2025 – Aug 2025
Data Science Intern — Arch Technologies
Data Science Intern (Internship) · Arch Technologies
Assisted in data collection, cleaning and preprocessing to support machine learning projects. Developed and tested predictive models using Python and libraries including scikit-learn and pandas, and created data visualizations to communicate insights.
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May 2025 – Aug 2025 · Hybrid
Data Science Intern — Oasis Infobyte
Data Science Intern (Internship) · Oasis Infobyte
Supported data preprocessing, feature engineering and exploratory data analysis for ongoing machine learning projects, and assisted in building and evaluating predictive models with scikit-learn and pandas.
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Jun 2025 – Aug 2025 · Remote
British Airways — Data Science Job Simulation
Data Science Job Simulation (Forage) · British Airways
Scraped and analysed customer review data to uncover findings, and built a predictive model to understand the factors that influence buying behaviour.
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Jan 2025 – Jul 2025 · Remote
BCG X — Data Science Job Simulation
Data Science Job Simulation (Forage) · BCG X
Completed a customer churn analysis simulation, conducting data analysis in Python (pandas, NumPy), engineering and optimizing a random forest model that achieved a 50% recall rate in predicting churn, and delivering an executive summary of findings.
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Apr 2025 – Aug 2025
Commonwealth Bank — Introduction to Data Science Job Simulation
Data Science Job Simulation (Forage) · Commonwealth Bank
Built data engineering pipelines to aggregate and extract insights from datasets, applied anonymization for data-privacy compliance, and proposed data analysis approaches for well-structured, efficient databases.
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Oct 2024 – Jul 2025 · Remote
Deloitte Australia — Data Analytics Job Simulation
Data Analytics Job Simulation (Forage) · Deloitte
Completed a job simulation involving data analysis and forensic technology, created a data dashboard using Tableau, and used Excel to classify data and draw business conclusions.
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Feb 2025 – Jul 2025
Quantium — Data Analytics Job Simulation
Data Analytics Job Simulation (Forage) · Quantium
Developed expertise in data preparation and customer analytics using transaction datasets, identified benchmark stores for uplift testing, and created reports for informed, evidence-based strategic decisions.
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Jul 2025 · Remote
Lloyds Banking Group — Data Science Job Simulation
Data Science Job Simulation (Forage) · Lloyds Banking Group
Completed a Forage job simulation for Lloyds Banking Group's data science team.
06 · Education
Foundations.
Riphah International University
Bachelor's degree, Artificial Intelligence
Jul 2023 – May 2027
Focused on the design, development and deployment of AI-driven systems. Coursework and projects covered machine learning, deep learning, computer vision, natural language processing and robotics, with hands-on expertise in Python, TensorFlow and PyTorch.
Virtual University of Pakistan (VU)
Associate's degree, Data Science
Apr 2024 – Mar 2026
Developed a strong foundation in data analysis, statistics, programming and machine learning.
Allama Iqbal Open University (AIOU)
Associate's Degree, Business Administration and Management
Jun 2025 – Jun 2026
Participated in business case studies, management discussions and leadership development activities focused on strategy, marketing and organizational management.
07 · Certificates
Google
Always learning, always shipping.
IBM Generative AI Engineering
IBM · Credential ID MFXW3LL9UI6G
Introduction to AI
Google · Jun 2025
IBM AI Engineering Professional Certificate (V3)
Coursera · Jun 2025
Data Analysis with Python
Coursera
IBM Deep Learning with PyTorch, Keras and TensorFlow
IBM · Jun 2025 · Credential ID FVMJDQSAUDL6
AI for Beginners
HP LIFE · Feb 2025
Data Science & Analytics
HP LIFE · Mar 2025
Google AI Essentials
Hands-On Python Machine Learning with Real World Projects
Udemy
Effective Presentation
HP LIFE · Feb 2025
Effective Leadership
HP LIFE · Feb 2025
Master Class on Data Science using Python A-Z for ML
Udemy · Nov 2024
AI Essentials: Introduction to Artificial Intelligence
Udemy · Nov 2024
Data Structures Using Python
Udemy
08 · Services
How I can help.
Data Pipeline & ETL/ELT Engineering
Design and build reliable, monitored pipelines that move data from source systems into warehouses and marts, ready for analytics.
Cloud Data Warehousing
Model and deploy star-schema warehouses on Snowflake, Databricks or DuckDB with automated data-quality testing.
Machine Learning & MLOps
Train, explain and serve ML models with MLflow tracking and FastAPI/Docker deployment.
Analytics & Dashboards
Turn raw data into decision-ready dashboards with Streamlit, Power BI or Tableau.
11 · Writing
All posts →
Notes on data engineering & AI.
Why You Should Containerize Your Machine Learning Model
“It works on my machine” is the most common way a portfolio project fails to impress a reviewer. Here’s why you should containerize your machine learning model, even for a small project — with real examples.
Read more →
Precision-Recall Curve vs ROC Curve: Which to Use and When
The same model predictions can look excellent on an ROC curve and mediocre on a precision-recall curve. Here’s why that happens, and which one to trust — especially on imbalanced data — with real examples.
Read more →
Model Drift in Machine Learning: How to Know When to Retrain
A model that performed well at launch can quietly degrade every month afterward. Here’s what model drift actually is, how to detect it, and when retraining is (and isn’t) the right fix — with real examples.
Read more →
12 · FAQ
Good questions.
What kind of projects do you take on?
I work on data pipelines, warehouse modeling, ETL/ELT, and applied ML/AI projects — from a single dashboard to a full production pipeline.
Are you available for freelance or full-time roles?
Yes — update this answer with your current availability.
What tools do you use most?
Python, SQL, dbt, Airflow, Docker, and cloud platforms including AWS, Azure and GCP, alongside scikit-learn/TensorFlow/PyTorch for ML work.
13 · Contact
Have a data problem worth solving?
Send a message and I'll get back to you soon — or reach out directly: