Data Analysis
Instacart Customer Behavior Analysis
Deep EDA on grocery ordering patterns, repeat purchases, order timing, product affinities, and customer segmentation.
Available for Freelance & Full-Time Roles
Ahmad
Hassan
|
ML Engineer & AI Educator bridging the gap between complex algorithms and real-world impact.
From drug molecules to neural networks, a unique perspective on learning and building.
1500+ Teaching Hours
100+ Students Mentored
30+ ML Projects
5+ Years in Data Science
🧪→🤖 PharmD → ML
Pakistan
PharmD · QAU · 3.9/4.0 cGPA
Eduqual Level 6 AIOPS · ALNafi · 94%
Freelancer · Superprof
ahmad.hds393@gmail.com
+92 316 5193665
About Me
From Drug Molecules
From Drug Molecules
to Neural Networks
I started my journey in pharmacy at Quaid-i-Azam University, graduating with a 3.9/4.0 cGPA in 2024. But halfway through my degree in 2020, I discovered data science, and it changed everything.
What began as curiosity quickly became expertise. I self-taught ML, Deep Learning, Computer Vision, NLP, and Generative AI while completing my PharmD. The analytical rigor of pharmaceutical sciences turned out to be the perfect foundation for understanding complex models and interpreting data.
Today I combine that dual background with 5+ years of hands-on experience in building and deploying ML systems, and I've turned that knowledge into 1500+ hours of teaching on Superprof, mentoring over 100 students from non-technical backgrounds into ML practitioners.
In March 2026 I completed the AIOPS Eduqual Level 6 Diploma at ALNafi, covering Cyber Security, DevOps, Cloud Architecture, and AI Systems, giving me a rare end-to-end perspective from data pipeline to production infrastructure. Alongside this, I am actively involved in AI Engineering and intelligent automation, designing and deploying AI-driven workflows and agents that solve real operational problems.
Technical Arsenal
Skills Across the Full AI Stack
From raw data to deployed models, with the infrastructure and security knowledge to back it up.
Python
NumPy
Pandas
Scikit-learn
Matplotlib / Seaborn
XGBoost / LightGBM
Statistics & Probability
Feature Engineering
SQL
Power BI
Tableau
Time Series Analysis
TensorFlow / Keras
PyTorch
ANN / CNN
RNN / LSTM
Transformers
Computer Vision (OpenCV)
NLP / Text Processing
Hugging Face
LLM Fine-tuning
Stable Diffusion
LangChain
Prompt Engineering
Docker
Kubernetes (K8s)
Jenkins / CI-CD
Ansible
Terraform
Git / GitHub
ArgoCD
Prometheus / Grafana
AWS (EC2, S3, ECR, ECS)
Azure
Python Flask
n8n Automation
Linux / RHEL
Bash Scripting
Network Security
CISSP (Studying)
CCSP (Studying)
SIEM / SOC
Penetration Testing
ISO 27001 / NIST
SCADA Security
Zero Trust Frameworks
Vulnerability Assessment
PCI-DSS / CIS Controls
Startup Initiative
Stealth Mode
Where PharmD Meets
Production AI Engineering
Translating clinical domain knowledge into a full-stack, regulated-aware AI system — the kind of depth that only comes from understanding both the medicine and the machine.
AI Clinical Decision Support System
A production-grade, full-stack AI application built at the intersection of clinical pharmacy and modern software engineering — details available on request.
Details shared selectively. Available for discussion in interview contexts.
Tech Stack
FastAPIPostgreSQLNext.jsReactTypeScriptTailwind CSSRAG PipelineChromaDBGroq LLMJWT AuthRxNormOpenFDADockerPytest
Production-Grade
Deterministic & Auditable
Test Coverage
Regulatory Aware
Teaching Roadmaps
Learn From a Practitioner
Structured pathways built from 1500+ hours of teaching real students and solving real problems. Each roadmap is battle-tested with working professionals who made the leap.
BeginnersCareer SwitchersBusiness Analysts
01
Python & Programming Foundation
~25 hrs- Python syntax, data types, control flow
- Functions, OOP basics, modules
- File I/O and exception handling
- Virtual environments & project setup
02
Data Manipulation & Visualization
~30 hrs- NumPy arrays and vectorized ops
- Pandas DataFrames, cleaning, merging, groupby
- Matplotlib & Seaborn for storytelling
- Exploratory Data Analysis (EDA) patterns
03
Statistics & Probability
~20 hrs- Descriptive statistics (mean, variance, distributions)
- Inferential statistics & hypothesis testing
- Correlation, regression foundations
- A/B testing concepts
04
Real-World Projects & SQL
~20 hrs- Writing analytical SQL queries
- End-to-end EDA project pipeline
- Business insight reporting
- Power BI / Tableau dashboards
Projects You'll Build
Instacart Customer Behavior AnalysisMegaline Telecom Usage AnalysisSan Francisco Housing Rental TrendsVideo Game Console Sales AnalysisTaxi Company Revenue Analysis
Data Science graduatesWorking professionalsEngineers pivoting to ML
01
ML Foundations & Math
~30 hrs- Linear algebra essentials (vectors, matrices)
- Calculus for optimization (gradients)
- Probability and Bayesian thinking
- Bias-variance tradeoff, regularization
02
Supervised Learning Algorithms
~40 hrs- Linear & Logistic Regression
- SVMs, KNN, Naive Bayes
- Decision Trees & Random Forests
- Gradient Boosting, XGBoost, AdaBoost
03
Unsupervised & Model Engineering
~30 hrs- K-Means, DBSCAN, Hierarchical Clustering
- PCA & t-SNE for dimensionality reduction
- Feature engineering & selection pipeline
- Cross-validation, hyperparameter tuning
04
Production-Ready ML
~25 hrs- Sklearn Pipelines end-to-end
- Model evaluation metrics (deep dive)
- Handling imbalanced datasets
- Model persistence and serving basics
Projects You'll Build
Bank Customer Churn PredictionGold Recovery from Mining ProcessOptimal Oil Well Location (Bootstrapping)Used Car Price Prediction (Rusty Bargain)Stroke Risk PredictionInsurance Benefit RegressionMobile User Classification
ML practitionersResearchersAI enthusiasts
01
Neural Network Fundamentals
~25 hrs- Perceptrons and backpropagation
- Activation functions (ReLU, Sigmoid, Tanh)
- Optimizers (SGD, Adam, RMSProp)
- Batch normalization, dropout, weight init
02
Convolutional Neural Networks
~30 hrs- Convolutions, pooling, padding explained
- Architectures: LeNet, VGG, ResNet, EfficientNet
- Transfer learning & fine-tuning
- Data augmentation strategies
03
Recurrent Architectures
~25 hrs- RNNs, vanishing gradient problem
- LSTMs and GRUs in depth
- Sequence-to-sequence models
- Attention mechanism intuition
04
Specialized Architectures
~20 hrs- Autoencoders & Variational Autoencoders
- Self-Organizing Maps (SOM)
- Boltzmann Machines & Sparse AEs
- Architecture selection for real tasks
Projects You'll Build
Customer Churn with Deep Neural NetworkComputer Vision Classification ProjectNLP Sequence Modeling
ML engineersProduct buildersTech entrepreneurs
01
LLM Foundations
~20 hrs- Transformer architecture deep dive
- Tokenization, embeddings, attention
- Prompt engineering patterns
- Retrieval-Augmented Generation (RAG)
02
Fine-tuning & Adaptation
~25 hrs- LoRA / QLoRA fine-tuning techniques
- Hugging Face Trainer API
- RLHF concepts
- Dataset preparation for fine-tuning
03
AI Application Development
~25 hrs- LangChain / LlamaIndex for pipelines
- Building AI agents and tools
- Vector databases (Pinecone, ChromaDB)
- n8n for no-code AI automation
04
Diffusion Models & Deployment
~20 hrs- Stable Diffusion architecture
- DreamBooth & LoRA for image models
- Deploying LLMs (GGUF, vLLM, Ollama)
- Cost optimization strategies
Projects You'll Build
Bank Complaints Text Summarization (NLP)Complaint Classification with Fine-tuned LLMAI Nutritional Advisor BotText-to-Image with Stable Diffusion
DevelopersML EngineersSystem Administrators
01
Linux & Scripting Foundation
~30 hrs- Linux fundamentals (RHEL)
- Bash scripting & automation
- Process management, networking
- SSH, remote server administration
02
Containerization
~35 hrs- Docker images, containers, Dockerfile
- Docker Compose for multi-service apps
- Container networking & storage
- Pushing to AWS ECR, Docker Hub
03
Kubernetes Orchestration
~50 hrs- K8s architecture (Pods, Deployments, Services)
- Helm charts for packaging
- StatefulSets, ConfigMaps, Secrets
- CKAD / CKA exam-level coverage
04
CI/CD & Cloud
~40 hrs- Jenkins, GitHub Actions, ArgoCD pipelines
- Infrastructure as Code with Terraform
- AWS: EC2, S3, ECS, CodeBuild, CodePipeline
- Monitoring: Prometheus, Grafana, Splunk
Projects You'll Build
End-to-end CI/CD Pipeline (Jenkins + Docker + K8s)Flask App Deployed to AWS ECSMulti-VM Vagrant AutomationPython Automation Suite (Jira + Selenium)
DevOps engineersIT professionalsSecurity beginners
01
Security Fundamentals
~25 hrs- CIA Triad, risk management principles
- Network security & protocols
- Identity & Access Management (IAM)
- Cryptography basics & PKI
02
Offensive Security & Testing
~30 hrs- Penetration testing methodology
- OWASP Top 10 & web vulnerabilities
- Network pentesting techniques
- Vulnerability assessment frameworks
03
Security Operations
~30 hrs- SIEM platforms (Splunk)
- Incident response procedures
- Log analysis and threat hunting
- SCADA/ICS security (NIST 800-82)
04
Compliance & Cloud Security
~25 hrs- ISO 27001, PCI-DSS, CIS Controls
- CISSP / CCSP domain knowledge
- Zero Trust architecture design
- Cloud Security Alliance (CSA) CCSK
Projects You'll Build
Vulnerability Assessment ReportSIEM Dashboard ConfigurationSecure Cloud Architecture DesignCompliance Gap Analysis
Portfolio
Projects That Speak for Themselves
Over 30 projects spanning data analysis, machine learning, generative AI, and BI, each built to solve a real problem.
Data Analysis
Megaline Telecom Usage Analysis
Statistical analysis of two prepaid plans (Surf vs. Ultimate) to determine which generates more revenue for the business.
Data Analysis
Microsoft SaaS Products Analysis
Multi-dimensional analysis of SaaS product usage, customer segments, and retention patterns across Microsoft product lines.
Data Analysis
San Francisco Housing Rental Analysis
Geographic and temporal analysis of rental markets in SF, uncovering pricing trends, neighborhood patterns, and investment opportunities.
Data Analysis
Taxi Company Revenue Analysis
Analysis of ride patterns, peak hours, driver efficiency, and revenue optimization strategies for a taxi service.
Data Analysis
Video Games Console Sale Analysis
Sales trend analysis across gaming platforms, genres, and regions to identify the most profitable market segments.
Data Analysis
Stroke Risk Exploratory Analysis
Clinical data analysis identifying key risk factors for stroke, including hypertension, BMI, glucose levels, and age correlations.
⭐ Featured Machine Learning
Bank Customer Churn Prediction
Ensemble model (XGBoost + Random Forest) to predict which customers are likely to leave Beta Bank, achieving 85%+ F1-score.
⭐ Featured Machine Learning
Gold Recovery Prediction (Mining)
Multi-stage regression model predicting gold recovery rate at rougher and final purification stages to optimize extraction.
Machine Learning
Optimal Oil Well Location (Bootstrapping)
Geospatial ML model using bootstrapping to identify the most profitable oil well locations, balancing risk and expected return.
Machine Learning
Rusty Bargain, Used Car Price Model
Gradient boosting model for a used car marketplace to predict fair market prices, compared across LightGBM, XGBoost, and Random Forest.
Machine Learning
Sweet Lift Taxi Demand Forecasting
Time series forecasting of hourly taxi demand at airports using ARIMA, LightGBM, and feature engineering on lag/window features.
Machine Learning
Insurance Benefit Regression
Linear regression and obfuscation-safe model for predicting insurance payouts while protecting customer data privacy.
Machine Learning
Mobile User Plan Classification
Decision tree and random forest classifier to recommend the optimal mobile plan (Smart/Ultra) based on user behavior.
Machine Learning
Bank Loan Default Prediction
End-to-end ML pipeline predicting probability of loan default with model explainability using SHAP values.
Machine Learning
Predictive Maintenance Cost Reduction
ML model predicting equipment failure probability to shift from reactive to proactive maintenance, reducing operational costs.
Machine Learning
Stroke Prediction Model
Combined EDA and ML pipeline predicting stroke occurrence from clinical features including hypertension, heart disease, BMI, and glucose levels, with loop-based comparative graphs.
⭐ Featured Machine Learning
Lung Cancer Risk Prediction App
End-to-end ML pipeline classifying lung cancer risk (Low/Medium/High) from patient data, deployed as a Flask web app with PDF report generation, analytics dashboard, and Docker support.
⭐ Featured Machine Learning
RUL Jet Engine Prediction App
Remaining Useful Life (RUL) prediction for jet engines using the NASA CMAPSS dataset, deployed as a Flask safety application that alerts maintenance teams before critical failure.
⭐ Featured Deep Learning
Churn Prediction via Neural Network
Deep learning approach to customer churn, ANN with dropout regularization outperforming classical ML baselines.
Deep Learning
Alzheimer's Disease Detection
Deep learning model for multi-class Alzheimer's disease detection from clinical data, classifying patients across severity stages to support early diagnosis.
⭐ Featured CV & NLP
Computer Vision Classification
CNN-based image classification pipeline with transfer learning (ResNet), data augmentation, and production-ready inference.
CV & NLP
Bank Customer Complaints Summarization
NLP pipeline using transformer-based models to automatically summarize customer complaints, reducing support team workload.
⭐ Featured Generative AI
Complaints Classification, Fine-tuned LLM
Fine-tuned DistilBERT for multi-class complaint categorization, achieving >92% accuracy vs. zero-shot baseline.
Generative AI
AI Nutritional Advisor Bot
LLM-powered conversational bot providing personalized nutritional advice, integrated with dietary databases and RAG.
⭐ Featured Generative AI
Text-to-Image with Stable Diffusion
DreamBooth fine-tuning pipeline to generate personalized images with Stable Diffusion, including custom artist style training.
SQL & BI
AdventureHubs SQL Analysis
Complex SQL queries on AdventureWorks database, joins, window functions, CTEs, and performance optimization.
⭐ Featured SQL & BI
SQL + Python + Power BI ETL Pipeline
Full ETL pipeline extracting from SQL Server, transforming with Python/Pandas, loading to Power BI for executive dashboards.
SQL & BI
HR Attrition Dashboard (Tableau)
Interactive Tableau dashboard visualizing employee attrition patterns, satisfaction scores, and retention risk factors.
SQL & BI
Medical Settings Comparative Analysis
Tableau analysis comparing performance across medical settings, patient outcomes, treatment efficacy, resource utilization.
Open Source
Models & Experiments on
Models & Experiments on
Hugging Face
Fine-tuned models, experiment checkpoints, and research artifacts published openly — from NLP and Generative AI projects to domain-specific adaptations in the clinical and analytical space.
View Profile → myhuggingface333 Milestones
Achievements & Recognition
A track record built through years of consistent learning, teaching, and building.
⏱ 1,500+ Teaching Hours
👥 100+ Students
🚀 30+ Projects
🎓 3.9/4.0 cGPA
📈 5+ Years DS/ML
🧠 7+ Tech Domains
2024
Top-performing graduate in one of Pakistan's most rigorous pharmaceutical programs, building a foundation in scientific research, data interpretation, and analytical thinking.
2024–2026
Completed industry-level AIOps diploma covering Cyber Security, DevOps, Cloud Architecture, System Administration, and AI Systems, the complete operational stack for modern AI deployment.
2022–Now
Accumulated over 1500 hours of live 1-on-1 and group instruction in Data Science, ML, and AI over approximately 2 years, making complex topics accessible to complete beginners.
2022–Now
Collaborated with over 100 students from medicine, business, engineering, and liberal arts backgrounds, guiding them through career transitions into Data Science and MLOps roles.
In Progress
Pursuing the full Kubestronaut certification stack, from cloud native associate through security specialist, as part of the Golden Kubestronaut program.
In Progress
Actively studying toward top-tier security certifications covering enterprise security architecture, cloud security, and identity management at the advanced practitioner level.
2020–Now
Delivered 30+ complete ML projects spanning data analysis, machine learning, deep learning, NLP, computer vision, GenAI, and business intelligence.
2026
Live-streamed Final Year Project defense for the Eduqual RQF Level 6 AIOps programme: "Orchestrating a Precision Agriculture Platform with Drone Analytics, IoT Sensors, and Machine Learning for Sustainable Farming." Delivered before an examination panel at ALNafi International College.
2020–Now
Built expertise from zero in 2020 through deliberate practice, real projects, and hands-on teaching, compressing years of experience into a proven skill set.