Jake hAInes
Data Scientist & Engineer
statistics @ NC STATE UNIVERSITY
About
I am an independent, well-rounded and multi-faceted data scientist with a focus on applications in engineering. My experience spans across a multitude of domains, including Python & SQL, music production software & audio engineering, and vehicle engineering.I design and execute prototype research pipelines that utilize the following: sensor implementation for data collection, processing and storing sensor data, experiment design, ad-hoc and post-hoc analysis using machine learning and deep learning models, visualization of results, and presenting the proof-of-concept to various teams for continuation of development. I am able to work and communicate cross-functionally across teams to design and execute broad and interdisciplinary projects.Nature is of great inspiration, and as such, I love to adventure-- both outside and inside the workplace. I have a diverse (albeit strange) range of interests, and treat colleagues with equal levels of respect. Having a creative, organized, and ambitious personality, I solve problems and create ideas using unique perspectives.I built Raspberry Pi traffic monitors and worked with the sensor data to find a workaround for a personally burdening scenario. I took what could have been a data entry project and converted it to a data transformation project, which saved the company hours of time and eased the transition to a new inventory software. I utilized my own data to create insights for myself and my well-being.Data are the tracks left behind by everything. I harness the tools to maximally leverage insight from those tracks and create a better world for myself, my community, my company, and outwards.
Contact
If you would like to contact me, please feel free to call, text, or email me. I will respond within 24 hours.
Raleigh, NC 27606
+1 908-323-3690
jake@hainesdata.science
A Brief Analysis on Lithium sources
You can view the article associated with these visualizations here.
Lithium Production worldwide
Annual Lithium Production, Per Country
Growth in Lithium Production, Per Country
Annual Lithium production in select countries, with forecasts
Production trends in zimbabwe and portgual
For the best viewing experience, please click the fullscreen icon at the bottom right corner of the window.
Portfolio
>>> June 11, 2022
Paper: A Statistical Approach to Finding Your Optimal Apartment
>>> December 31, 2021
PROJECT: My 2021 Mental Health data Analysis
>>> July 27, 2021
Analysis: My Mini-Golf Game Performance Visualized with Plotly
>>> June 16, 2021
PROJECT: Pandas ETL for Inventory Management Software Migration
>>> May 7, 2021
Project: University Resident PArking Traffic Analysis
>>> APRIL 28, 2021
Analysis: Nickel and Cobalt - trends & Predictions
>>> April 14, 2021
Analysis: A Brief Analysis on Lithium Sources
>>> MARCH 19, 2021
PRoject: How I Created a System to Measure Parking Traffic
>>> April 6, 2021
Career Guide: 9 Tips for Creating Your Data Science Resume as an Undergrad
Nickel and Cobalt - Trends & Predictions
Experience
(Scroll for more)
Professional
Aug 2022 - Present
Tesla // Palo Alto, CA
Data Science Intern - Chassis Engineering
Manage dataflow from sensors to internal database
Transform data useful for analysis
Analysis of vehicle CAN data in Python
Evaluate sensor firmware for implementation
Develop visualizations of various part characteristics
Create interactive dashboards for visualizing sensor data
Analyze relationships between various data outputs from sensors
May 2022 - Aug 2022
Tesla // Fremont, CA
Research & Development Intern - Vehicle Technology Programs
Built proof-of-concept projects for future vehicle technologies
Tested third-party sensors and equipment in various use cases for technology implementation proof-of-concept
Collected, validated, transformed, and analyzed biometric, CAN, experiment, geospatial, third-party API, census, network, and IoT sensor data, using Python (pandas, numpy, plotly, geojson, folium, datashader, GPIO)
Designed and conducted full experiments and UX studies using empirical and statistical methods, various conditions, and various use cases
Built anonymous subject selection algorithm in Python (pandas, scipy, sklearn)
Built algorithm to aggregate data from various sensor data streams into one output dataset
Designed dataflow pipelines
Created internal database for data storage
Queried data from external suppliers using python REST API and moved data to Sharepoint database using python (office365)
Built interactive data visualization dashboards using internal API
Wrote documentation for projects, code, databases, and datasets
Technical program management in Visio and ClickUp
Jan 2022 - May 2022
Conceptualee // Raleigh, NC
Lead Data Science Intern
Collected data on indicators for investment-backed expandable sustainable development in Nigeria
Reshaped and reformatted data
Designed data management pipeline
Uploaded data to PostgreSQL database
Executed SQL queries on server
Facilitated tasks and training for team members
Regularly communicated and met with team members to assist them on their needs
Jan 2022 - May 2022
Varsity Tutors // Raleigh, NC
Data Analytics Tutor
Tutoring in data science and analytics
Tutoring in statistics
Create lesson plans according to clients' individual needs
Provide interactive lessons and assignments for clients
Provide support and motivation for clients
May 2021 - Sep 2021
Eagle Parts & PRoducts // Augusta, GA
Data Science Intern
Restructured tens of thousands of rows of inventory data
Cleaned and parsed data in Python, using libraries: pandas, regex, usaddress
Transformed data for use with company's new inventory management software
Jan 2021 - May 2021
University of North Carolina at Asheville // Asheville, NC
Research in Statistics
Comprehensive analysis of parking garage traffic on campus to predict demand for residential parking
Collected data via Raspberry Pi systems running a TensorFlow Lite object detection model
Performed ETL on generated CSVs in Visual Studio SSDT (SSIS) and Microsoft SSMS (SQL) to clean data
Data mining, analysis, and visualization in Tableau
Presented at UNC Asheville and Wake Forest University, published project to blog
Education
Aug 2021 - May 2024
North Carolina State University // Raleigh, NC
BS, Statistics
Data Analytics Club at Institute for Advanced Analytics
Aug 2019 - May 2021
University of North Carolina at Asheville // Asheville, NC
Computer Science
GPA: 3.5
Minor in mathematics
Dean’s List: Fall 2019, Spring 2020
Completed undergraduate research: Spring 2021
2015 - 2019
Hunterdon Central Regional High School // Flemington, NJ
GED
Marching band
Volunteer DJ
German club
Skills
Software: Branca, DataGrip, DataSpell, Docker, Folium, Git, GitHub, Heroku, Jupyter, Keras, Linux, Matplotlib, Microsoft Excel, Microsoft SQL Server, Numpy, OpenCV, Pandas, Plotly, PostgreSQL, PyCharm, Python, R, SQL Server Integration Services (SSIS), Tableau, TensorFlow, Transact-SQL (T-SQL), Voila
Languages: English (Native proficiency), German (Limited working proficiency)
Licenses & Certifications
Issued: Jul 2021
Udemy // No expiration
Python A-Z: Python for Data Science
Learn to program in Python at a good level
Learn how to code in Jupyter Notebooks
Learn the core principles of programming
Learn how to create variables
Learn about integer, float, logical, string and other types in Python
Learn how to create a while() loop and a for() loop in Python
Learn how to install packages in Python
Understand the Law of Large Numbers
Issued: Dec 2020
Udemy // No expiration
Data Science A-Z
Data mining in Tableau
Simple and multiple linear regression
Logistic regression
Building a geodemographic segmentation model
Assessing, analyzing, and maintaining model
ETL pipeline and debugging
Data wrangling
Uploading data to database using SSIS
SQL data structures, data conversions, joins, data cleaning, data transformation, and procs
Cross-departmental communication
Creating meaningful business insights
Presenting results of data science projects