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Inventing the positronic brain
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Inventing the positronic brain

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Raafi101/README.md

Welcome Viewer! 👋

My ultimate goal in life is to push the limits of humanity. I am a Native New Yorker who recently completed his Master's in Statistics & Applied Mathematics from Hunter College. I also completed my Bachelor's in Mathematics with a minor in Computer Science. My interests include math, chess, physics, space and aviation, technology, investing, philosophy, etymology, Sci-Fi, music, and WWII/Cold War era history.

I am currently...

  • Working as a Data Scientist at Fiserv
  • Developing my skills in Time Series Forecasting and Reinforcement Learning
  • Reading through the Isaac Asimov Robot, Empire, and Foundation series

My links:

See what I've been working on! 👇

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  1. FaceIDWithSiameseNetworks FaceIDWithSiameseNetworks Public

    One-shot learning approach to create a model trained off thousands of pairs of images that can determine whether 2 images contain the face of the same person or not. Used a Siamese network architec…

    Jupyter Notebook

  2. HAL9001 HAL9001 Public

    Personal assistant and chatbot created using TensorFlow. The model utilizes the “bag-of-words” NLP technique to decipher the command of the user. Model created using TensorFlow. Data manipulation d…

    Python

  3. PlanetariumArcadium PlanetariumArcadium Public

    A full (PERN) stack planetary system visualizer web app created by the "AstroNerds", a team of 4 people in their CS minor capstone class. The data was obtained from the NASA Exoplanet Archive and s…

    HTML 2

  4. An_Analysis_of_Pakistani_Homes An_Analysis_of_Pakistani_Homes Public

    Different machine learning models to predict home prices in Pakistan. We use Linear Regression Methods, K-Nearest Neighbors Methods, and Decision Tree Methods. We look at many differnt predictors s…

    Jupyter Notebook

  5. PortfolioOptimization PortfolioOptimization Public

    Worked with a team of 4 people total to find methods to optimize a portfolio with an arbitrary number of assets. Used a gradient based constrained optimization algorithm to find the optimal portfol…

    Jupyter Notebook

  6. Gasoline-Demand-Forecasting Gasoline-Demand-Forecasting Public

    Explored patterns, trends, and seasonality of US gasoline demand data. Compared models based on the mean squared error of the testing set. Employed ARIMA, XGBoost, Facebook Prophet, and Recurrent N…

    Jupyter Notebook