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Hi there! I'm Ojelle Rogero 👋

Hey there! I'm your typical nerdy gal with a physics and finance background, totally into coding and crunching numbers. Give me a complex algorithm, and I'm in my happy place, totally in the zone!

Oj's Dev Card

I have been into small projects using Python since 2020 but it's been way looong overdue already. Hopefully to complete some of those this 2024! Coz why not, right?

I started out as an R&D test engineer, got hooked on data crunching and automation—seriously, it's a lifesaver! Then I dove into finance, worked as a blockchain community manager and later ended up in a top US investment firm where I supported quants with all things about funds and derivatives. Coding just clicked for me, and now I'm all about Data Engineering — it's my jam!

  • 🔭 Currently modifying and updating my Automation projects.
  • 🌱 Databricks certified and planning to take Snowflake certifications asw well.
  • 👯 I’m looking to collaborate on data engineering projects! Just reach me via my email or linkedin.
  • ⚡ Fun fact: I love to travel!

Languages:

python sql bash c matlab

Data Analytics / Cloud Platform:

databricks snowflake azure blob

ETL / Data Pipelines:

apache airflow apache kafka jenkins

Version Control:

git github gitlab

IDE and Tools:

vscode pycharm spyder anaconda jupyter notebook

Libraries:

pandas numpy matplotlib plotly pypi streamlit

Others:

ubuntu markdown html

Oj Rogero's Projects

devicon icon devicon

Set of icons representing programming languages, designing & development tools

numerical-methods-using-matlab icon numerical-methods-using-matlab

Mini-project for to solve few Numerical Methods problems such as finding the roots using Newton-Raphson Method, Bisection Method and Secant Method. Also included Taylor expansion to approximate a function

python-beginner icon python-beginner

I am currently new to python and I want to learn more about it. The codes here are from the book "Learning to Program with Python" by Richard L. Halterman which I'm trying out for me to better understand python.

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