About me

Hello there! I am Mohammad Sami Nur Islam, a CS and Math student at McGill. I am experienced in Python, and Java. I am an ML enthusiast and have worked with PyTorch and Scikit learn. I have also worked with AWS in both my previous internship and my personal project. Additionally, I am familiar with web development and have worked with React, Node, and Express. Currently I am looking for a summer 2024 internship.

What I'm probably doing

  • design icon

    Building Wall Street Sentiments

    These days I find myself working at ungodly hours on my pet project.

  • Web development icon

    Learning RL

    I got interested in Reinforcement Learning over the summer. I spend a lot of time in the OPEN AI gym!

  • mobile app icon

    Watching YouTube

    I am a sucker for videos by Oversimplified and alike channels.

  • camera icon

    Taking Street Photos

    Taking pictures of random streets around Montreal as I come across them.

Daniel lewis
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Daniel lewis

Richard was hired to create a corporate identity. We were very pleased with the work done. She has a lot of experience and is very concerned about the needs of client. Lorem ipsum dolor sit amet, ullamcous cididt consectetur adipiscing elit, seds do et eiusmod tempor incididunt ut laborels dolore magnarels alia.

Resume

Education

  1. McGill University

    2021 — 2024

    Computer Science and Math.

    Third-year undergrad with an expected graduation date of December 2024

    Awarded the Hugh Brock scholarship, a renewable $5000 per annum scholarship.

Experience

  1. Data/Machine Learning Engineer Intern, Rio Tinto

    May, 2023 — Aug, 2023

    Created Extract, Transform, and Load (ETL) components in Python (Pandas, Scikit-learn).

    Used AWS services (Lambda, Step Functions, S3) to deploy and test data pipelines.

    Collaborated closely with the Data Science team, gaining a deep understanding of their model notebooks and deployment needs on Sagemaker.

    Interfaced regularly with a Postgres database to validate raw data and prediction results.

  2. Data Science Intern, Shikhbe Shobai

    Jun, 2022 — Aug, 2022

    Built a data visualization dashboard (using Streamlit), analyzing around 8000 user data .

    Wrote data-wrangling scripts with the Pandas and Scikit-learn libraries and visualization scripts with the Matplotlib library.