Data Scientist Resume
DATA SCIENTIST
Data Scientist
walodas@email.com
123 456-7890
Summary
With 9 years experience working as a data scientist and more than ten years of strong academic background in analytical modeling and programming, I strive to bring high-quality business intelligence solutions to businesses seeking higher efficiency. With expertise in advanced statistical algorithms, machine learning and forecasting, I have also worked on over 1150 high performance parallel processing applications using C++ and Python.
Experience
Data Scientist
Grubhub
06/2018 – Ongoing
Princeton NJ
- Deployed a recommendation engine to production to conditionally recommend other menu items based on past order history, increasing average order size by 7%
- Implemented various time series forecasting techniques to predict surge in orders, lowering customer wait by 10 minutes
- Designed a model in a pilot to increase incentives for drivers during peak hours, increasing driver availability by 22%
- Led a team of 3 data scientist to model the ordering process 5 unique ways, reported results, and made recommendations to increase order output by 9%
Data Scientist
ABC Company
03/2016 – 06/2018
Princeton
- Built a customer attrition random forest model that improved monthly retention by 12 basis points for clients likely to opt-out by providing relevant product features for them
- Coordinated with the product and marketing teams to determine what kind of client interactions resulted in maximized service opt-ins increasing conversions by 18%
- Partnered with product team create a production recommendation engine in Python that improved the length on-page for users with $225K incremental annual revenue
- Compiled and analyzed data surrounding the prototypes for a prosthesis which saved over $1M its creation
Entry-Level Data Analyst
Ran
04/2015 – 03/2016
Mount Laurel NJ
- Collaborated with product managers perform cohort analysis that identified an opportunity to reduce pricing by 21% for a segment of users to boost yearly revenue by $560,000
- Constructed operational reporting in Tableau to improve scheduling contractors saving $90,000 the annual budget
- Implemented a long-term pricing experiment that improved customer lifetime value by 23%, submitted, and reported on monthly client enrollments, services opted in for, and the employees assigned to clients
Skills
- AWS
- Customer Segmentation
- flask
- Git
- Github
- keras
- MySQL
- Numpy
- Pandas
- Postgres
- Python
- Random Forest
- Scikit
- Scikit-Learn
- SQL
- statistics
- Tableau
- time series
- time series forecasting
Education
B.S in Statistics
Rutgers University
04/2015undefined
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