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Data Scientist Resume Samples
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Candidate Info
years in workforce
months at this job
Economics
Master of Arts
Associate Data Scientist
Responsible for implementing data mining and statistical machine learning solutions to various business problems such as sales lead scoring, supply chain optimization, demand forecasting, and targeted marketing
- Developed customer segmentation algorithm in R which scored sales leads for jets and lead to increased market share
- Won global IT Innovation Award for the above project
- Applied data mining to shipping consolidation problem which demonstrated potential savings of $3.2 million over 2014 for single-day shipping consolidation
- Applied logistic regression model to jet maintenance records to predict jet sales based upon aircraft usage and type of maintenance
- Implemented demand forecasting models which improved upon forecast accuracy and reduced supply chain inefficiencies
Candidate Info
years in workforce
years at this job
Mathematics Probability And Statistics
Applied Statistics
Data Scientist
Provided technical leadership in a team that designed and developed analysis systems to extract meaning from large scale data.
- Mentored sophisticated organizations on large scale data and analytics using advanced statistical and machine learning models.
- Architected and implemented analytics and visualization components for device data analysis platform to predict hardware
- Optimized factors for sales conversions and designed an algorithm for deal recommendations for a large daily deals website.
- Developed audience extension models relying on decision trees, random forest, logistic regression, and other categorical data
Candidate Info
years in workforce
years at this job
Chemistry
Physics
Physics
Research Assistant and Data Scientist
Designed and implemented molecular dynamics simulations to identify protein-DNA interaction and macro- molecular structure.
- Developed pipelines to analyze large simulation datasets combining my own Python, Tcl and Shell scripts with established molecular modeling tools.
- Interpreted complex simulation data using statistical methods.
- Implemented bioinformatics algorithms for NGS data analysis.
- Worked in a cross-functional team to develop a unique multi-scale simulation technique and implemented the methodology to explain complex biological phenomena including viral DNA ejection and transcriptional
- Developed one of the first models for high-curvature DNA mechanics and validated the model by comparison of simulation data with NMR measurements. Initiated and maintained a collaboration with an experimental
- Trained lab scientist on bioinformatics tools, statistical methods and High-Performance Computing (HPC).
Candidate Info
years in workforce
years at this job
Industrial Engineering
Engineering, Instrumentation And Control Engineering
Data Scientist
[company name] is a real estate brokerage firm using powerful data mining algorithms to find best deals using MLS data in real time.
- Led initiative to build statistical models using historical data to predict real estate prices in several economic markets. Focused on analyzing the factors affecting the value of the properties in United States.
- Developed prediction algorithm using advanced data mining algorithms to classify similar properties together to develop sub-markets; each zip code was divided into submarkets using advanced data mining techniques.
- Conducted data preparation, and outlier detection using MS SQL server; built the model using R.
- Created and presented executive dashboards and scorecards to show the trends in the data using Excel and VBA-Macros.
Candidate Info
years in workforce
years at this job
Biomedical Engineering
Data Scientist
Mastered predictive modeling, data processing, and dashboard development.
- Spearheaded an Information Extraction project using Ontotext's KIM platform and the GATE software.
- Developed web scrapers to collect raw data from the web.
- Wrote and edited blog posts to promote the [company name]'s analytics platform.
- Assisted the HR director in talent assessment of new Data Scientists.
- Assisted the CEO and CTO in the development of the 2013 business plan.
Candidate Info
years in workforce
year at this job
Computer Engineering
Energy Science
Energy Data Scientist
- Modified and applied the company's core technology, their Physics-based Building model, to provide customized energy saving action recommendations for Small and Medium sized companies in Japan.
- Performed parameter selection and calibration of the inputs to the Building Model using Latin Hypercube
- Improved the model's prediction accuracy to 90%
- Implemented the Support Vector Machine Learning algorithm to predict energy consumption for a household
- Performed Measurement and Verification analysis of energy savings across the customers of Central Maine
- Prototyped a Model Predictive Control system, using real-time smart meter data, to optimally schedule
Candidate Info
years in workforce
years at this job
Mathematics And Psychology
Psychology
Psychology
Data Scientist
- Managed data operations team and collaborated with data warehouse developers to meet business user needs, promote data security, and maintain data integrity.
- Consulted with and trained analysts to effectively access data and optimize Tableau dashboards.
- Maintained SQL scripts to create and populate tables in data warehouse for daily reporting across departments.
- Developed ETLs for data sources used in production reporting for marketing and operations teams.
- Created customized reports and processes in SAS and Tableau Desktop
- Promoted enterprise-wide business intelligence by enabling report access in SAS BI Portal and on Tableau Server.
Candidate Info
year in workforce
months at this job
Computer Science
Computer Science
Data Scientist Intern
- Analyzed and created dimensional data modeling to meet OLAP needs.
- Redesigned a web based pivot-table application to perform the business strategy layout.
- Implemented infrastructural components of data visualizations by using d3.js.
- Deployed applications in the Microsoft Business Intelligence stack (SSIS, SSRS, SSAS).
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