Associate Data Scientist Resume Arlington, VA - Hire IT People

TECHNICAL SKILLS

Scripting Languages: Python, R, SQL

Software: AWS, GCP, Pandas/NumPy, Git, Matplotlib/ggplot/dplyr, TensorFlow, Hive, PySpark, Azure Databricks

Statistical Skills: Predictive Modelling, Recommendation Systems, Frequentist Inference, Bayesian Inference, Machine Learning (ML), Deep Learning (DL), Feature Engineering.

PROFESSIONAL EXPERIENCE

Confidential, Arlington, VA

Associate Data Scientist

Responsibilities:

Produced two production grade recommendation models using high quality, reusable python code with an emphasis on scalability.
Recommendation systems guided users with a personalized list of government contracts that matched the users interests.
Deployed models with Databricks MLFlow for real - time inference and reported model performance metrics in live dashboards which resulted in the development of test strategies and optimizing the models.
Models implemented one or more conventional data science frameworks for natural language processing (NLP), recommendation systems, and traditional machine learning techniques.
Created data infrastructures for extraction, transforming, and loading (ETL) data into production models using government API s, Databricks workflows, and a Hive metastore.
Conducted data analysis on big data (roughly one million cases) using distributed cloud computing and AWS microservices.

Confidential, Sacramento, CA

Business Data Analyst

Responsibilities:

Performed statistical data analysis on user behaviours and attitudes which increased understanding of product quality and customer satisfaction.
Led regular meetings with organization leadership and stakeholders to describe the data and results to support data - driven decision-making.
Authored weekly, quarterly, and annual reports consisting of A/B tests, data visualizations, and descriptive text.
Identified data insights for funding and national accreditation applications to ensure the longevity of the organization.
Maintained a single database housing more than 10 tables and included all data entering the organization to improve data analysis efficiency.

Confidential, Sacramento, CA

Senior Applied Researcher

Responsibilities:

Developed machine learning algorithms using linear regression, logistic regression, time series analysis, and classification to address real world applications.
Chaired roughly 20 projects (3 - 8 projects at a time) from hypothesis to dissemination with an emphasis on high quality findings.
Projects were presented at international, national, and regional conferences.
Delegated work to 2-5 junior researchers per project to ensure completion by assessing the project needs and the individual s skill sets.
Received awards at three separate conferences for the projects scientific merit and quality of the presentation.
Reduced time spent on the data cleaning process by over 50% by initiating procedures and reusable code utilized across team members and projects.
Conducted consultation sessions on research methods, statistics, and mathematics for over 10 graduate and advanced undergraduate students.
Mentored over a dozen junior researchers to promote career growth and improve organizational satisfaction.

Confidential

Junior Applied Researcher

Responsibilities:

Collected data from surveys and large public - use data (more than 10,000 cases).
Performed literature reviews, data analysis, and presentation of projects on 1-3 projects at a time under the direction of the principal and senior researchers.

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Associate Data Scientist Resume

Arlington, VA

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