Machine Learning Engineer & Data Science Professional
Machine Learning Engineer with experience spanning from junior analyst roles to advanced ML engineering. Skilled in Python, SQL, and deep learning, with proven success in delivering scalable ML solutions, deploying APIs, and presenting insights to stakeholders. Strong foundation in data analytics and business intelligence enabling effective end-to-end AI solutions.
4+
Years shipping ML systems
40+
Automations delivered
30+
Dashboards in production
Abdul Rauf
Machine Learning Engineer
ML Pipelines
ETL → Feature Store
Analytics
Power BI · Python
Automation
SQL + Python Ops
Available for New Projects
Currently accepting new clients and ready to start immediately
4+ Years Experience
Production ML systems
28+ Projects Delivered
Across industries
96% Client Satisfaction
Repeat business rate
24hr Response Time
Average support response
Proven Results
Real Impact, Measurable Outcomes
Quantifiable results that drive business growth and operational efficiency
15%
Average Retention Improvement
From churn prediction models
$250K+
Cost Savings Delivered
Annual savings for clients
40%
Time Reduction
Faster data processing & automation
28+
Projects Completed
Across multiple industries
BS Computer Science · Machine Learning Engineer · Data Scientist
I graduated with a BS in Computer Science from Sukkur IBA University (2019-2022) and currently work as a Machine Learning Engineer at Invisible Technologies Inc.
My craft blends production ML pipelines, SQL-first analytics, and clean data workflows that scale. From model experimentation to dashboard delivery, I help teams ship value, faster. I've deployed customer churn prediction models, built ETL pipelines processing 10M+ rows, and created ML solutions that drive real business impact.
28+
Projects Delivered
16+
ML Models Deployed
4+
Years Experience
Bachelor of Computer Science
Sukkur IBA University
Sep 2020 — Apr 2024
Core Strengths
Skills & Stack
Interactive Skill Radar
Production-ready ML pipelines, analytics, and modern web engineering.
Programming & Tools
Machine Learning
Deep Learning
Data & Analytics
Development & Deployment
Experience
Career Timeline
Forecasting models, ETL automation, and analytics initiatives delivered across industries.
Machine Learning Engineer
Invisible Technologies Inc · Remote
June 2025 — Present
Leading ML initiatives to deliver production-ready models and scalable data pipelines for enterprise clients.
- Designed and deployed customer churn prediction model, improving retention by 15%.
- Built ETL pipelines for large datasets (10M+ rows), reducing data processing time by 40%.
- Automated feature engineering and model training pipelines, boosting team productivity.
Junior ML Engineer
Turing.com · Remote
Jan 2024 — March 2025
Developed and deployed ML models for computer vision and defect detection applications.
- Assisted senior engineers in developing image classification CNN models for defect detection.
- Performed data preprocessing, feature selection, and model evaluation on structured/unstructured datasets.
- Supported deployment of models and created Power BI dashboards for business insights.
AI/ML Intern
Arbisoft · Lahore
Dec 2022 — March 2023
Collaborated with senior engineers to develop and fine-tune ML models for client projects.
- Developed and fine-tuned ML models for client projects under senior engineer guidance.
- Implemented data preprocessing pipelines in Python (Pandas, Scikit-learn) for model readiness.
- Conducted exploratory data analysis (EDA) to identify key trends and improve model features.
Case Studies
Production-grade Projects & FYP
Predictive modeling, Transformers, CNNs, end-to-end pipelines, and data-driven solutions.
Image Classification for Defect Detection (CNN)
Developed a CNN to detect defects in manufacturing images, improving quality control and reducing manual inspection time by 30%.
Business Impact
95% accuracy with data augmentation + transfer learning
30% reduction in manual inspection time
Improved quality control efficiency
Recommendation System for E-commerce
Implemented collaborative filtering & content-based filtering recommendation engine, increasing product recommendation click-through rate by 12%.
Business Impact
12% increase in click-through rate
Enhanced user engagement
Integrated recommendation engine as Flask API
Sentiment Analysis on Customer Reviews (NLP)
Preprocessed 200k+ text reviews using NLTK & spaCy, trained ML models achieving 92% F1-score, and built an interactive dashboard in Streamlit.
Business Impact
92% F1-score on sentiment classification
Processed 200k+ customer reviews
Interactive dashboard for visualization
Customer Churn Prediction Model
Designed and deployed predictive model using gradient boosting to identify at-risk customers, improving retention by 15%.
Business Impact
15% improvement in customer retention
Reduced customer acquisition costs
Production-ready deployment
ETL Pipeline for Large Datasets
Built automated ETL workflows processing 10M+ rows weekly, reducing data processing time by 40% and enabling real-time analytics.
Business Impact
40% reduction in data processing time
10M+ rows processed weekly
Real-time analytics enabled
Services
Data Science Services
Productized offers for data cleaning, dashboards, SQL automation, ML models, and business insights.
Data Cleaning & Readiness
Audit, clean, and document your datasets so downstream modeling is easy and reliable.
Dashboard Creation
Executive-ready Power BI dashboards with automated refreshes and embedded narratives.
SQL Reporting Automation
SQL optimization plus scheduled reporting and monitoring for data-heavy teams.
Machine Learning Models
Custom ML systems — from forecasting to NLP — deployed with observability baked in.
Business Insights Analytics
Partner with me to define metrics, evaluate experiments, and align analytics to revenue goals.
How I Work
A Proven Process That Delivers Results
Transparent workflow from discovery to deployment. You're always in the loop.
Discovery & Planning
Deep dive into your business goals, data landscape, and success metrics. We define clear deliverables and timelines.
Deliverables
- Requirements doc
- Data audit
- Project roadmap
Development & Iteration
Agile development with weekly check-ins. You see progress in real-time with demos and code reviews.
Deliverables
- Sprint updates
- Code reviews
- Live demos
Testing & Optimization
Rigorous testing, performance optimization, and validation against business KPIs before deployment.
Deliverables
- Test reports
- Performance metrics
- KPI validation
Deployment & Support
Production deployment with monitoring, documentation, and knowledge transfer. Ongoing support available.
Deliverables
- Deployment guide
- Documentation
- Training sessions
Client Success Stories
Trusted by Business Leaders
Real results from real clients. See how I've helped businesses solve their data challenges.
"Abdul delivered a predictive maintenance system that reduced our downtime by 40%. His attention to production-ready code and clear documentation made integration seamless. Highly recommend for ML projects."
Sarah Chen
CTO, FinTech Startup
TechFlow Inc.
"The automated reporting pipeline Abdul built saves us 15 hours per week. The Power BI dashboards are executive-ready and the SQL optimizations cut query time by 70%. Exceptional work."
Michael Rodriguez
Data Director
Retail Analytics Co.
"Working with Abdul on our sentiment analysis pipeline was a game-changer. The model accuracy and deployment speed exceeded expectations. He's responsive, professional, and delivers real business value."
Emily Watson
Product Manager
SaaS Platform
Flexible Engagement
Choose the Model That Fits Your Needs
From one-off projects to ongoing partnerships, I adapt to your business requirements.
Project-Based
Fixed scope, fixed timeline, fixed price
Best For
Well-defined projects with clear requirements
Pricing
Custom quote
Retainer
Ongoing support and development
Best For
Long-term partnerships and maintenance
Pricing
Starting at $2K/month
Hourly Consulting
Flexible engagement for ad-hoc needs
Best For
Quick wins, audits, and consultations
Pricing
$75-150/hour
FAQ
Common Questions from Clients
Everything you need to know about working with me
Blogs
Tutorials, case studies, learning journey
Designing Reliable ML Pipelines in 2025
A blueprint for taking experiments into production using feature stores, automated validation, and modern deployment patterns.
Building Production-Ready Churn Prediction Models: Lessons from a 15% Retention Improvement
A deep dive into designing, training, and deploying churn prediction models that deliver measurable business impact. From feature engineering to real-time inference.
Power BI + Python Automation for Insight Ops
Automate refreshes, narratives, and alerting around Power BI using Python scripts and serverless hooks.
Ready to Transform Your Data into Business Value?
Let's discuss how machine learning and data science can solve your business challenges. Free consultation call to explore your needs and potential solutions.