Skip to content
View TashiNyangmi's full-sized avatar
:octocat:
:octocat:
Block or Report

Block or report TashiNyangmi

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
TashiNyangmi/README.md

Hi thereπŸ‘‹, I'm Tashi

Data Engineering Enthusiast

πŸ” Career Aspirations:

  • Actively seeking a Data Engineering role that emphasizes learning, mentorship, and growth. If you know of opportunities or can offer guidance, let's connect!

πŸš€ Current Project:

  • Deeply engaged in an end-to-end Data Engineering project, primarily utilizing AWS cloud services.
  • Harnesses football data sourced from RapidAPI.
  • Dive into the details here.

πŸ“– On My Bookshelf:

🀝 Let's Collaborate: Open to teaming up on Data Engineering projects.

πŸ™Œ Seeking Guidance: Eager to delve deeper into distributed processing & storage, data warehousing, and data modeling.

πŸ’‘ Got Questions?: Hit me up about Python, especially when it comes to pandas.

πŸ’Œ Reach Out: Drop me an email at tashinyangmi@gmail.com.

πŸŽ‰ Fun Facts:

  • 🎡 I've made appearances in two Nepali music videos, racking up a combined viewership of over 50 million on YouTube!
  • πŸŽ“ Out of a massive graduating class of 3500+ students in high school, I stood out as the valedictorian.
  • πŸ“š Math whiz alert! I nailed a perfect score of 800/800 in the mathematics section of the SATs.

🌱 Professional Journey:

  • πŸ“Š Bloomberg: Worked as a Data Analyst.
  • πŸŒ† National Urban League: Contributed my skills before joining Bloomberg.

πŸŽ“ Education & Certifications:

  • Fundamentals of Generative AI, Google: Micro-learning course that explores what large language models (LLM) are, the use cases where they can be utilized, and how you can use prompt tuning to enhance LLM performance. Quiwklabs.

  • AWS Certification: Proudly achieved my AWS Cloud Practitoner certification on July 14, 2023. Check out my badge on Credly.

  • Data Engineering Program by PerScholas: Graduated from an intensive 14-week, 500+ hours Data Engineering course at PerScholas in July.

Let's Connect:

tashinyangmi

Tech Stack:

python pandas scikit_learn seaborn postgresql sqlite mysql git flask

Pinned

  1. linkedin_reach_ml_project linkedin_reach_ml_project Public

    Jupyter Notebook

  2. PS-Capstone-Project PS-Capstone-Project Public

    Jupyter Notebook

  3. MIT-Challenge-2020 MIT-Challenge-2020 Public

    Reached Top 10 out of 200+ teams in MIT's weeklong Datathon

    Jupyter Notebook 4

  4. Visa Visa Public

    Creating a user-friendly portal to access Non-Immigrant Visa Statistics published by the US Department of State.

    Jupyter Notebook 1