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Working from home
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Working from home
  • McGill University
  • Montreal
  • 07:15 (UTC -04:00)

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arham-anwar/README.md

👋 Hello / Bonjour, I'm Arham! (Click for Portfolio)

I'm a Data Scientist at SAP, where I contribute to the supply chain algorithm library. I previously completed my Master’s in Management Analytics from McGill University & worked at Aldo Group's AI Team

Coding

🛠 What I Tinker With

  • Descriptive Analytics: Unveiling hidden patterns with EDA, Clustering, and Anomaly detection
  • Predictive Analytics: Building fancy regression & classification models, Time series forecasting, Reinforcement learning
  • Inferential/Causal Analytics: Playing detective with Statistical modeling, A/B testing, and Propensity score matching
  • Deep Learning: PyTorch Lightning wizardry, CNNs, RNNs, Transformers, and even Fine Tuning LLMs
  • Production: Containerizing with Docker, crafting APIs, CI/CD pipelines, and keeping an eye on model drift
  • Cloud Platforms: Azure ML, AWS, GCP, and some Kubernetes magic
  • Data Visualization: Turning data into stories with Tableau, Power BI, Streamlit, and Plotly
  • Text & Social Media Analytics: Making sense of text with NLP, Sentiment analysis, Topic modeling

🧰 My Toolbox

  • Languages: Python, R, SQL, Bash scripting, Julia, Scala
  • Frameworks & Libraries: PyTorch Lightning, MLFlow,
    Azure SDK v2, Firebase, Streamlit, Keras, Scikit-learn, NLTK, SpaCy, Transformers (Hugging Face)

📜 Certified Data Nerd

  • Microsoft Certified Data Science Associate (DP100)
  • Apache Spark Fundamentals
  • Databricks Lakehouse Fundamentals

I'm always on the lookout for cool ML projects and love collaborating with fellow data enthusiasts. Got a project that needs some data wizardry—or just want to chat about the latest tech trends? Drop me a line!

LinkedIn Email

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  1. GraphRAG-Local-Implementation-With-Neo4j-Integeration GraphRAG-Local-Implementation-With-Neo4j-Integeration Public

    Implementation of GraphRAG on the first chapter of "Sapiens" by Yuval Noah Harari. This project extracts entities and relationships from the text, visualizes them using Neo4j, and showcases the pow…

    Python 4 1

  2. McGill-MMA-EnterpriseAnalytics/Multi-Class-Prediction-of-Obesity-Risk McGill-MMA-EnterpriseAnalytics/Multi-Class-Prediction-of-Obesity-Risk Public

    Advanced Multiclass ML pipeline predicts obesity class gamifying healthcare with real-time data (Apache Kafka), Azure ML, robust MLFlow Experiments & Tracking, Docker deployment,, FastAPI, Poetry, …

    Jupyter Notebook 2

  3. Academic-Darwanism-Social_Network_Analytics Academic-Darwanism-Social_Network_Analytics Public

    Investigative Study For Understanding McGill Student Network & performance. Features: homophily testing for GPA-based connections, GPA prediction using Random Forest on Network Attributes, and comm…

    Jupyter Notebook 1

  4. GunViolenceData_DichotomyAnalysis_MultivariateStats GunViolenceData_DichotomyAnalysis_MultivariateStats Public

    Data-driven analysis of North American gun violence using advanced machine learning and statistical techniques. Uncovers actionable insights with K-Means Clustering and PCA. Identifies distinct clu…

    R

  5. Prescriptive-Analytics-With-Gurobi Prescriptive-Analytics-With-Gurobi Public

    Showcasing advanced optimization & analytics projects, this repository highlights real-world business problem-solving using techniques like MIP, big M, Markowitz Portfolio optimization, stochastic …

    Jupyter Notebook

  6. CausalML-DoWhy-EconML CausalML-DoWhy-EconML Public

    Impact of Referral Program on Revenue | Python, CausalML, DoWhy, EconML, Jupyter Notebook: Applied S-, T-, & X-learner causal models to quantify the referral program's impact, revealing a +$59.74 i…

    Jupyter Notebook 1

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