Raj Shaikh
Machine Learning Engineer & Data Scientist

Portfolio: mathnai.com
GitHub: github.com/shaikh-raj

Skills Summary

Languages & Tools

  • Python, Java, SQL
  • Git, Docker, Jenkins
  • dbt, Snowflake, Databricks
  • AWS, Azure

Machine Learning & Deep Learning

  • Supervised & Unsupervised Learning
  • Ensemble Methods (Random Forest, XGBoost)
  • Neural Networks (CNNs, RNNs)
  • Transfer Learning, Autoencoders, Graph Neural Networks
  • Model Optimization & Generative Models

Natural Language Processing (NLP) & Large Language Models (LLMs)

  • Named Entity Recognition (NER)
  • Sentiment Analysis, Language Modelling
  • BERT, GPT, Parameter-Efficient Fine-Tuning (PEFT)
  • LoRA, Retrieval-Augmented Generation (RAG)

Data Engineering

  • PySpark, Azure Databricks, Azure Data Factory
  • PowerBI, Snowflake

Frameworks & Libraries

  • scikit-learn, numpy, pandas, TensorFlow, Keras
  • Gensim, NLTK, SpaCy, Flask, Django
  • SHAP, LIME

Statistics & Optimization

  • Regression Models, Hypothesis Testing
  • Dimensionality Reduction (PCA, t-SNE)
  • Time Series Analysis, Feature Engineering

Platforms & Tools

  • AWS, Azure, Heroku
  • Hugo, Jira, Confluence

Projects

MLOps CI/CD Pipeline Setup GitHub | Article
Implemented a CI/CD pipeline with GitHub Actions, Docker, MLflow, and DVC to automate testing, deployment, and tracking of machine learning models.

Travel Assistant Chatbot
GitHub | Article
Built an intelligent chatbot with OpenAI API, PostgreSQL, and DuckDuckGo API, integrating travel planning, itinerary generation, and real-time booking.

Credit Card Approval Prediction & Explainability
GitHub | Article
Developed a model using Multilayer Perceptron (MLP) with 80% accuracy and implemented explainability frameworks like LIME and SHAP.

Optimizing Cancer Treatment with Multi-Armed Bandits
GitHub | Article
Used an epsilon-greedy multi-armed bandit algorithm to improve treatment outcomes in clinical trials, reducing trial costs by 10%.

Volunteer Work & Mentorship

  • Mentored at DeepLearning.ai, reviewing beta courses and supporting student queries.
  • Conducted seminars on AI at GDG Cloud Chennai.
  • Created a Covid-19 Dashboard analyzing the geographical spread of the virus.
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