Data Scientist/Engineer/ Analyst Python
Resume:
SANTOS OZOEMENA
Carson, CA, *****
Email: **************@*****.***
LinkedIn: https://www.linkedin.com/in/santos-ozoemena Projects: https://github.com/santosozoemena
Data professional: I focus on designing and building Big Data platforms and developing Machine Learning algorithms to serve business needs. Possesses a B.S. in Health Information Technology, Databricks Certified Developer Certification. Expertise in Microsoft Excel, PowerBi, Tableau, Python, SQL. Looking to leverage my knowledge and experience into a role as a Data Scientist/ analyst/ engineer. PROFESSIONAL EXPERIENCE
AVANADE, LOS ANGELES CA
Senior Data Analyst / Data Engineer, Nov.2018 – current
• Developed Spark ETL and machine learning applications leveraging Azure Databricks
• Created Power BI dashboards on a variety of projects, visualizing large and diverse data sets.
• Create ETL data pipelines leveraging Azure Databricks
• Migration of data from on premises to Azure cloud using Azure Databricks. Tools used namely: python, Scala and Spark sql, sql server.
• Received Databricks Certified Developer Certification.
• Performed architecture design, data modeling, and implement Big Data platforms and analytic applications.
• Brings DevOps mindset to enable big data and batch/real-time analytical solutions that leverage emerging technologies.
KAISER PERMANENTE, HOLLYWOOD CA
Data Analyst: Workplace Safety, May. 2017 – 2018
• Report results of statistical analyses (python, SAS, R, tableau), including information in the form of graphs, charts, and tables.
• Analyzed large hospital datasets to improve hospital performance metrics
• Process large amounts of data for statistical modeling and graphic analysis, using ETL python.
• Prepare data for processing by organizing information, checking for any inaccuracies, and adjusting and weighting the raw data. (Root caused Analysis) RCA python. Data Integrity.
• Data Management, Used advanced SQL queries/sql server.
• Identify relationships and trends in data, as well as any factors that could affect the results of research. UPWORK (Freelancer), LOS ANGELES, CA
Data Scientist & Analyst, Sep.2016 – 2018
• Interpreting data, analyzing results using statistical techniques.
• Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies.
• Data Management, Used advanced SQL queries/sql server.
• Develop custom data models and algorithms to apply to data sets.
• Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes.
• Strong knowledge of and experience with reporting packages (Business Objects, Microsoft office suite), databases (SQL, sql server), programming (JavaScript, or ETL frameworks, python).
• Develop company A/B testing framework and test model quality. DATA SCIENCE PROJECTS
Fast Food Restaurants tweets and effects on Stock market: Tools Used: Python- twitter API, pandas Data-Frames, Google API, yahoo-finance API Predicting whether you will default on your next credit card bill: Tools Used: Python, Tableau Machine Learning Algorithms: Random Forrest, Neural Networks. Spotify User listening Worldwide- what makes a song stream globally: Tools Used: python, tableau, D3-javascript, Spotify data scrapped with python. E D U C A T I O N
California State University Northridge, Northridge, CA Bachelor of Science in Health Information Technology, May 2017 University of Southern California, Los Angeles, CA Certification of Completion Data Sciences and Analytics May 2018 ADDITIONAL SKILLS
• Expert in python pandas, SQL, Tableau, Java, C, Java, Excel, HTML, CSS, React, Java Script, Hadoop Pyspark, Pytorch, Tensor flow, Scala, Big Data, Mongo dB, Postgres, SQLite, Machine Learning, MySQL, ERP/CRM, Docker, Kubernetes, Python, Pandas, Jupyter, SQL-Alchemy, Flask
• Web and tech savvy, require little to no training.
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