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MaisyMofakhami/README.md

Hi, I'm Maisy 👋

🌱 About Me

I’ve always enjoyed exploring both the outside world and diving into my inner thoughts. For me, finding the perfect state of flow is like a never-ending treasure hunt. I usually find myself in that sweet spot when I'm tackling a complex, multi-layered problem. That's why I love working with data; Uncovering insights, story-telling with data and solving challenges keep me engaged and energized.

Over time, I’ve also grown into a product enthusiast, driven by a desire to make a tangible impact through thoughtful, customer-centric solutions. I find real fulfillment in translating complex data into intuitive decisions that directly improve how users interact with a product.

When I’m not diving into data, you’ll find me at the gym, spending time with friends, or unwinding with podcasts, movies, and series. I also love solving puzzles and singing—it’s all part of staying curious and creative! 🎵💪🎬💡

🎯 My Expertise

  • Machine Learning and Data Science: ANN, Deep Learning (RNN, CNN), NLP(Sentiment Analysis, TF-IDF, Word2Vec, BERT), Transformers(BERT), Regression, Classifiers, Random Forest, Gradient Boosting(XGBoost, LightGBM), Clustering (K-Means, DBSCAN)
  • Analytics Tools & Software: SQL, Python, R, Power BI, Metabase, VSCode
  • Python Libraries: Pandas, NumPy, scikit-learn, PyTorch, XGBoost, NLTK, Gurobi, Statsmodels, Matplotlib, Seaborn, Causalml, dowhy, requests, BeautifulSoup, torch

Pinned Loading

  1. CNN_Image_Classification_CIFAR CNN_Image_Classification_CIFAR Public

    Building a CNN model on CIFAR_10 and then use transfer learning to fine tune the model on CIFAR_100. (This was an assignment for Deep Learning course in MMA program.)

    Jupyter Notebook

  2. McGill_Subreddit_Stress_Depression_Classifier_NLP McGill_Subreddit_Stress_Depression_Classifier_NLP Public

    Classification of McGill Subreddit messages for detecting stress and depression symptoms among students, based on two Kaggle-labeled datasets, using multiple NLP techniques. (An MMA group project)

    Jupyter Notebook

  3. McGill-MMA-EnterpriseAnalytics/Credit_Score_Prediction McGill-MMA-EnterpriseAnalytics/Credit_Score_Prediction Public

    Given a person’s credit-related information, we built a machine learning model that can classify the credit score.

    Jupyter Notebook 2

  4. Online_Travel_Agency_Visuallization Online_Travel_Agency_Visuallization Public

    This project analyzes the sales data of an online flight travel agency. It starts with key metrics, followed by geographical insights on ticket sales across regions and routes. Finally, it explores…

  5. Shark-Tank-Deals-Analysis Shark-Tank-Deals-Analysis Public

    This project focuses on predicting the likelihood of securing a deal, identifying patterns in deal-making decisions, and providing insights into the factors that drive successful outcomes on Shark …

    R 1

  6. McGill-MMA-EnterpriseAnalytics/SafeRide_Dtection McGill-MMA-EnterpriseAnalytics/SafeRide_Dtection Public

    End-to-end helmet and license plate detection system powered by YOLOv8 and EasyOCR, with MLflow experiment tracking, modular Python architecture, and production-ready MLOps pipeline for real-world …

    Jupyter Notebook 1