Hello There

Portfolio

All projects listed are the culmination of my work throughout the recent few years showcasing data engineering, analytics, and other technologies. The buttons below filter on the project category with each item linked to their corresponding GitHub repository. Feel free to browse and check them out!

  • All
  • Data Engineering
  • Data Analytics
  • Other
DATA ENGINEERING ANIME PROJECT
DASHBOARD SAMPLES
ML RECIPE RECOMMENDER
EV CLIMATE STUDY MODELING
LSTM STOCK PREDICTION
PC PARTS WEB SCRAPING

About

I’m an applications engineer, committed to the path of life-long learning, with work experience in the EDA industry and traditional schooling in statistical analysis. I have a deep passion for exploring and going down the rabbit holes for all things data, and dipping my toes here and there in the web development scene. When I'm offline for the day I love making a good cup of coffee, spending time with my cat, gyming, and working on the little DIY projects I start from time to time.

General Info

Please check out social media links for more information

  • Alias: jaytar0
  • Degree: BAS Data Analytics
  • City: Seattle, WA
  • Email: shureifeng@gmail.com
  • Phone: +360 553 2063
  • Work Status: Seeking

Additional Hobbies: keyboard building, studying cloud technologies

Future Interests: C++, guitar, archery, hiking

Skills

Python R MYSQL HTML css javascript
airflow docker postgresql snowflake sqlite
dbt looker powerbi metabase
Python / r / SQL 100%
BASH / TCSH90%
HTML / CSS / JS 70%
DATA ANALYTICS STACK 90%
DATA ENGINEER STACK 80%
COMMUNICATION 95%

Resume

Summary

Jonathan Feng

Junior Applications Engineer with 2 years of experience designing and developing data-driven utilities, looking to fully work in the Data Engineering/Analyst space.

Education

MS Analytics

Fall - 2023

Georgia Tech, Atlanta, GA

Currently enrolled in the data science analytics masters at Georgia Tech starting Fall 2023.

BAS DATA ANALYTICS

2018 - 2021

Bellevue College, Bellevue, WA

A degree heavily focused on multivariate statistics, data visualization, database technologies, and a touch of machine learning.

Languages

  • English - Native
  • Chinese - Native
  • Japanese - Intermediate

Professional Experience

Technical Engineer - Applications Engineer

Sep 2021 - Dec 2022

Synopsys, Remote

  • Developed a series of python and shell scripts to semi-automate data pipelines. Extract, transformed, and loaded metrics into their own respective SQLite databases for analyzing integrated chip verification processes, drastically increasing efficiency and productivity.
  • Created automated Power BI, Excel, Flask, and ASCII dashboards to present the results of the comparison process of the mentioned pipeline.
  • Developed efficient QA processes for several workflows similar to the scripts described above funneling results into a flask dashboard, increasing productivity from the original manual analysis.
  • Worked with ML team to establish pipelines to monitor on-premise projects, data requests.

Technical Engineer - Intern

Jul 2021 - Sep 2021

Synopsys, Remote

  • Improved Integrated Chip Verification tool run time performance in certain Machine Learning driven distributed processes.
  • Explored data with different clustering and feature selection methods.
  • Developed python utility for outlier monitoring/graphing storing results to an onpremise database.