Joseph Harder
Verified Expert in Engineering
Data Scientist and Developer
Joseph is a data scientist with four years of experience in the dental, marketing, and government industries. He's also built standardized data storytelling tools. Most recently, he became the domain expert on operations data for Spin, an electric scooter company, a role that involves labor efficiency, scooter placement and use patterns, and geospatial data analysis. Joseph adds value by verifying and assessing needs and creating innovative quantitative solutions to answer meaningful questions.
Portfolio
Experience
Availability
Preferred Environment
Linux, MacOS, Python, PostgreSQL, Google Sheets
The most amazing...
...thing I've delivered is a set of optimization simulations that helped increase profitability and labor efficiency of electric scooters.
Work Experience
Senior Data Scientist
Spin
- Increased the electric scooter utilization rate by 8% by optimizing scooter deployment neighborhoods.
- Helped reduce weekly theft of electric scooters by up to 50% in some operating markets by contributing with analysis and data visualization tools.
- Ensured accurate self-serve analytics by maintaining and creating critical data models using dbt and LookML and dashboards with Looker and Google Sheets.
- Planned and prioritized projects with stakeholders and answered business questions related to user behavior and growth with data deep dives and root cause analysis.
Senior Data Scientist
Nacci
- Generated a biweekly newsletter for a branch of the US government surfacing social media trends using NLP tools such as BERT and topic modeling.
- Built and deployed an ML-powered tool that extracted video, audio, and textual insights to generate audience clusters for artists and labels using MLflow, OpenCV, and clustering.
- Improved analyst workflows by designing KPI dashboards with Metabase and data extraction tools for a national dental staffing company.
Graduate Student Researcher
Columbia University
- Developed C/C++ software suites for Brownian Dynamics simulations and Monte Carlo to study cell growth and non-equilibrium nanoparticle motility.
- Used advanced statistical analysis methods, including time series analysis and clustering, to understand the behavior of biophysical systems.
- Published work in high-impact journals, including a cover article published in The Journal of Chemical Physics called The Role of Particle Shape in Active Depletion. Also, presented work at conferences.
Experience
Fit to Print
http://fittoprint.xyz/Skills
Languages
Python, Bash, SQL, C, JavaScript
Platforms
Linux, Google Cloud Platform (GCP), Amazon Web Services (AWS), MacOS, Docker
Tools
Looker, Google Sheets
Paradigms
Business Intelligence (BI)
Storage
PostgreSQL
Other
Chemistry, Physics, Data Build Tool (dbt), ETL Tools, Natural Language Processing (NLP), Data Analytics, GPT, Generative Pre-trained Transformers (GPT), Simulations
Libraries/APIs
D3.js
Education
PhD in Computational Chemistry
Columbia University - New York, NY, USA
Bachelor's Degree in Chemistry
UC Berkeley - Berkeley, CA, USA
How to Work with Toptal
Toptal matches you directly with global industry experts from our network in hours—not weeks or months.
Share your needs
Choose your talent
Start your risk-free talent trial
Top talent is in high demand.
Start hiring