Data Scientist and Research Manager Resume

SUMMARY:

Six years of experience in leading cross functional teams in analysis, design, documentation, development, testing, and implementation of data science and machine learning solutions in a fast - paced environment to drive business solutions. Adept at developing comprehensive reports for the senior management and working with departments to get necessary information.

CORE SKILLS AND PROFESSIONAL ATTRIBUTES:

Data Analysis
Requirements Gathering & Analysis
User Acceptance Testing
Statistical Modeling
Data Visualization and Reporting
Machine Learning
Communication Skills
Project Management
Attention to Detail
Vendor Relationships
End User
Customer Service

TECHNOLOGY SUMMARY:

Programming Languages: Objective C, R, and Python

Analytics Tools: MS Excel, R, Python and Power BI

Softwares: MicrosoG Suite Products, Anaconda distribution and Jupyter Notebook, R Studio

Source Control: SVN and Git

ML Techniques: Regression, Clustering, PCA, and SVM

PROFESSIONAL EXPERIENCE:

Data Scientist and Research Manager

Confidential

Responsibilities:

Implemented analytical solutions by understanding clients’ needs and correlating Confidential ’s data with the clients’ data and supported the Research team in developing reproducible statistical modeling.
Provided executives with analytics and decision-support tools used as the basis for reorganization, consolidation and relocation strategies.
Collaborated with cross-functional stakeholder groups across the organization to ensure business, technology and research alignment. Proposed solutions meeting identi ed problems and opportunities and de ned speci cations and needs.
Various calibration/pilot projects include applications in higher, sports/esports performance, fan pro ling, health insurance, and customized content delivery..

Data Scientist

Confidential

Responsibilities:

Developing Player Recruitment Strategy by analyzing the Confidential 's Major League Soccer data and applying Principal Component Analysis and Clustering techniques.
Conducted research on the current work in the Soccer Analytics that can be used by the clubs.

Data Science Research Assistant

Confidential

Responsibilities:

Assisted the Institute for the Study of International Migration at Confidential by creating and debugging robots to scrape websites.
Collected data from the websites for the study and analysis of any humanitarian crisis using text analytics.

Team Lead

Confidential

Responsibilities:

Supported the system integration, databases to record and store the usage of the mobile applications, and analyzed the large data sets from the multiple sources to understand the usage behaviour of the apps.
Managed and maintained relationships with external stakeholders including Product, User Experience, Security, Performance, and Deployment teams for the successful implementation of the entire soGware development life cycle.
Involved in and rolling out user guides to help end users better navigate the newly developed systems.
Built dashboards and reports using MS O ce and SQL scripts to present relevant trends and signi cant data points on the usage of the apps to the senior management for decision making.
Initiated process improvements which ensured data quality is carried out by the team and documented all processes.

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