Google-certified Data Analyst • ML Engineer • Building real-world AI solutions
Toronto, Canada 🍁 • Open to internships and full-time roles

Portfolio • LinkedIn • GitHub

I’m a Data Science student and Google Certified Data Analyst focused on applying Data analysis and ML to real-world problems—especially in healthcare. I combine hands-on ML engineering with analytics rigor (SQL, experimentation, visualization) and have shipped end-to-end projects from data prep to deployment (MLOps).

• Google Data Analytics Professional Certificate
• Complete Machine Learning & NLP Bootcamp with MLOps & Deployment (Udemy)
• Strengths: Computer Vision, Predictive Modeling, NLP, SQL Analytics, MLOps
• Currently exploring: transformers, model monitoring, cloud-first ML

• Machine Learning: supervised/unsupervised, deep learning, CNNs, transformers, feature engineering, model tuning, evaluation
• Computer Vision: image classification, medical imaging, OpenCV
• NLP: text classification, sentiment, spam/phishing detection, embeddings, BERT
• Analytics: SQL, A/B testing, EDA, dashboards, storytelling
• Tools: Python, scikit-learn, TensorFlow, PyTorch, Pandas, NumPy, Matplotlib/Seaborn, Plotly
• Platforms: Git, Docker, CI/CD, Jupyter/Colab, BigQuery, Tableau, Power BI, Excel

Tech I use frequently: Python SQL TensorFlow PyTorch scikit-learn Pandas Docker Git BigQuery Tableau Power BI

• Built a CNN to classify MRI brain scans for early-stage detection
• Emphasis on robust evaluation and class-imbalance handling
• Stack: Python · TensorFlow/Keras · OpenCV · Medical Imaging
  Repo: https://github.com/Naeem1144/alzheimer-disease-detection

• Deep learning models to predict telecom churn with feature engineering and tuning
• Focus on actionable insights and retention levers
• Stack: Python · DL · Pandas · Feature Engineering
  Repo: https://github.com/Naeem1144/customer-churn-prediction

• Regression models for Toronto housing prices with geo-feature enrichment
• Comprehensive EDA and interpretability
• Stack: Python · Regression · GeoPandas · Visualization
  Repo: https://github.com/Naeem1144/greater-toronto-area-house-price-prediction

• NLP-based phishing detection with preprocessing and pipeline design
• Compared classical ML vs. modern embeddings
• Stack: Python · NLP · NLTK · Text Classification
  Repo: https://github.com/Naeem1144/spam-email-detection-system

• Unsupervised clustering for market segmentation and persona discovery
• Stack: Python · K-Means · DBSCAN · PCA
  Repo: https://github.com/Naeem1144/segmentation-project

• Complex SQL for train booking and retail analytics; schema design + optimization
• Stack: SQL · Data Modeling · Query Optimization
  Repo: https://github.com/Naeem1144/sql-analysis

• Google Data Analytics Professional Certificate
  Skills: spreadsheets, SQL, Tableau, R, business cases, capstones

• Complete Machine Learning & NLP Bootcamp with MLOps & Deployment (Udemy)
  End-to-end pipelines, NLP, Docker, deployment, monitoring

• Deep Learning: transformers, GANs, advanced CV
• Cloud + MLOps: model deployment, CI/CD, Docker
• Big Data: Spark fundamentals
• Math: linear algebra, stats, optimization

• Industry: AI/ML or Data oriented systems for measurable business impact
• Research: LLM pre/post-training, reinforcement learning, computer vision and Classical ML
• Startups: 0→1 product experimentation with rapid iteration
• Open Source: Commitment to contribute into ML/AI/DL tools that elevate community practice

• Read: papers, blogs, and docs daily
• Code: ship something small every day
• Build: focus on projects that solve real problems
• Share: document learnings to help others

• Collaborations on AI/ML/CV/NLP projects
• Paper discussions and idea jams
• startup ideas
• Hackathons and community learning

Reach out on LinkedIn or visit my Portfolio.
Ask me about: machine learning, deep learning, computer vision, or my learning journey!

“In AI, we’re all students—the field evolves faster than any one person can master it.”

Currently coding from Toronto, Canada 🍁 • Open to opportunities worldwide 🌍