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Data Scientist Resume

PROFESSIONAL EXPERIENCE

Confidential

Data Scientist

Responsibilities:

  • Deploy machine learning models using Python, AWS SageMaker, Lambda, and API Gateway
  • Perform A/B tests and update models which are no longer performing as well
  • Design data pipelines with Apache Airflow and Manipulate data with SparkSQL and Spark Dataframes

Confidential

Data Scientist

Responsibilities:

  • Forecasted real estate market performance using time series in R and machine learning in Python for deploying over $300 million in capital
  • Implemented data mining and analytical solutions to business problems, reducing underwriting time by 3 - 4 hours per deal
  • Developed an automated job crawler to track the job market and hiring trends in the U.S.
  • Created a streamlined data workflow connecting data vendor, Microsoft Azure, and OLAP database, leading to a 50% decrease in reporting time

Confidential

Machine Learning Engineer

Responsibilities:

  • Developed an Augmented Intelligence solution with Python to make 80% faster and more accurate informed risk assessments about vendors
  • Designed an ETL pipeline with ELK stack and data flow architecture on AWS
  • Applied Natural Language Processing (NLP) and unsupervised learning techniques to flag risky news articles with 95% accuracy
  • Designed a Kibana dashboard for Confidential personnel, increasing risk identification productivity by 50%

Confidential

Data Analyst

Responsibilities:

  • Built a database by combing through publicly available filings for all S&P 500 constituents to analyze pension-related metrics
  • Conducted research on trends and topics impacting pension plans with Python to structure asset allocation for hundreds of billions of dollars in asset under supervision
  • Prepared and presented data analysis, opportunities, and recommendations to the investment committee
  • Researched data sets to identify new patterns and insights

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