Who?

Just a little about myself.

Hey hey! My name is Alex, and I'm currently a Data wrangler at John Deere working closely with the Aftermarket Parts/Service data. I received my bachelor degree in Statistics and Computer Science at UIUC and currently pursing my masters degree in Computer Science back at UIUC. My main interest is to develop and track KPIs with Tableau & PowerBI and building data pipelines to draft data-driven decisions for internal stakeholders and external dealers for Deere. Outside of work, I love cooking & food culture, participating in any sporting events (Mainly basketball), and going on road trip with family & friends!

Profile

Fullname: Alex M Che
Job: Data Wrangler at John Deere
Email: amche101@gmail.com

Skills

95%
Python
95%
SQL
95%
Tableau
90%
AWS
90%
DataBricks
105%
Cooking

View My Resume

Resume

More of my credentials.

Work Experience

Data Wrangler

March 2024 - Now

John Deere

Data & Analytics Development Program (DADP)

July 2022 - March 2024

Data Wrangler - 2022

Data Scientist - 2023

John Deere

Optimized team image data processing through the use of PySpark and parallel programming, achieving an 80% reduction in up time. Developed a cost-effective internal image labeling system using Voxel51 & OpenAI CLIP Embedding, resulting in a 50% cost savings compared to external solutions. Collaborated with a cross-functional team, addressing underlying challenges and contributing to streamlined processes. Responsibilities encompassed data extraction, report generation, and KPI monitoring using Python, SQL, and Tableau. Efficiently managed the transfer of raw data to AWS, employing ETL applications for effective dashboard preparation. Additionally, collected and structured data from sales and marketing departments, providing valuable organizational insights.

Data Scientist Intern

February 2022 - June 2022

Edelman Data And Intelligence (DXI)

Communicated results and ideas to project manager and senior data scientists. Able to create SQL and Python programming modules for custom insights required by stakeholders. Implemented and designed the machine learning models for different goals. Optimized joint efforts between Data Engineering, business partners, UX, and People Science teams at DXI to drive business results.

Education

Bachelor of Science

Aug 2018 - May 2022

University of Illinois at Urbana-Champaign

Studying in Statistics with a focus on Data Science & Data Analyst. Dual minoring in Computer Science and Informatics to furtuer enchance skills in computer programming and analyzing data in a professional perspective.

Master of Computer Science

Aug 2023 - Now

University of Illinois at Urbana-Champaign

Studying in Computer Science with a focus on Data Science, which offers a blending theoretical foundations with hands-on experience.

My Life

Check Out What I've Been Up To!

Click on the picture and see more about it.

Photo Credits to: @shenny.visuals & @Jill.M

Working on My First Certificate

Google Data Analytics professional Certificate

I'm enrolled in an online certification on Coursera provided by Google to help me gain more understanding of the practices and processes used by junior or associate data analysts in their day-to-day job. This certificate also offers well-structured classes on spreadsheets, SQL, R programming, Tableau usage on real-life data, which I think the University couldn't provide.

Course 1 -- Foundations: Data, Data, Everywhere

Learned about basics of data analysis: Ask, Prepare, Process, Analyze, Share, and Act. The 5 key aspects of analytical thinking are visualization, strategy, problem-orientation, correlation, and using big-picture and detail-oriented thinking. Fairness is also a very important concept, Some conclusions could be true and unfair which is not the conclusions that we want as a data analytics. Slightly learneed about SQL, Excel and Google Sheets

Course 2 -- Ask Questions to Make Data-Driven Decisions

The more questions we ask the more we will learn about our data set and the more powerful our insights will be at the end of the day. Making a decision with incomplete data is dangerous. But sometimes accurate data from a small test can help you make a good decision. Learned basics of google sheets, using formulas and operations to analyze the data.

Course 3 -- Prepare Data for Exploration

Learned about data cleaning and the importance of keeping clean data stored in databases for other data analyst or scientist to use. As well as unbiased and objective data during data sampling. More in-depth practice with databases on GCP and concpets of relational databases (BigQuery Sandbox). Descriptive, Structural, and Administrative metadata is stored in a single, central location and it gives the company standardized information about all of its data.

Course 4 -- Process Data from Dirty to Clean

Coming Soon...

Course 5 -- Analyze Data to Answer Questions

Coming Soon...

Course 6 -- Share Data Through the Art of Visualization

Coming Soon...

Course 7 - Data Analysis with R Programming

Coming Soon...

Course 8 -- CapStone Project: Completing Full Case Study

Coming Soon...

Welcome To My Website!

Alex Che

Who?

Just a little about myself.

Profile

Skills

Resume

More of my credentials.

Work Experience

Data Wrangler

John Deere

Data & Analytics Development Program (DADP)

John Deere

Data Scientist Intern

Edelman Data And Intelligence (DXI)

Education

Bachelor of Science

University of Illinois at Urbana-Champaign

Master of Computer Science

University of Illinois at Urbana-Champaign

My Life

Check Out What I've Been Up To!

Sports

Foods

The World

Important People In My World

UIUC

The Squad

Sports

Food

The World

Important People In My World

UIUC

The Squad

Working on My First Certificate

Google Data Analytics professional Certificate

Course 1 -- Foundations: Data, Data, Everywhere

Course 2 -- Ask Questions to Make Data-Driven Decisions

Course 3 -- Prepare Data for Exploration

Course 4 -- Process Data from Dirty to Clean

Course 5 -- Analyze Data to Answer Questions

Course 6 -- Share Data Through the Art of Visualization

Course 7 - Data Analysis with R Programming

Course 8 -- CapStone Project: Completing Full Case Study

Where to find me

Email Me At

Call Me At