I am an experienced Data Analyst with expertise in manufacturing, real estate, healthcare, and customer analytics and predictive modeling.Currently, I am a Senior Data Analyst in the Data Operations team at Compass where I empower over 30k real estate agents and internal staff by proactively identifying and resolving deal, transaction, and contract data quality issues in order to provide accurate, complete, and timely access to their pertinent financial and contract information.In my previous role, I was a Data Analyst at Apple where I examined manufacturing data from supply chain vendors for data integrity and manufacturing performance by defining metrics and building statistical tools. The insights that I have drawn from data analysis are being used by factories, Product Quality, Engineering and other business stakeholders to improve the manufacturing processes and reduce the defects in Apple's consumer electronics.I was a Data Analyst at Delta Med Tech International where I designed an eCommerce platform and performed A/B testing to improve conversion rate. I have written programs in Python to set the prices dynamically by extracting data from eBay via their API. I have also analyzed data resulting from maintenance and repair of medical devices to forecast future needs and identify suspicious claims.I was a Graduate Student Researcher for two years in the Computational Biology lab at the University of California Irvine. I have developed differential equation based deterministic and stochastic models to simulate the behavior of immune cells due to chronic infections. My research led the Laboratory of Cellular and Molecular Immunology at UC Irvine to narrow down the candidate antigens to be targeted to chronic infections.I am familiar with the following technologies:Hadoop Stack: Hive, Impala, Druid, HBase, PigProgramming Languages: Python, R, Matlab, BashViz: Tableau, Matplotlib, Seaborn, PlotlyDatabase: Snowflake, Databricks, Oracle, MySQLVersion Control Tools: GitCloud Computing: AWS