United States
Demonstrated expertise in the design and production of machine learning models for market analytics. Automated weekly market reports using Python, SQL, Snowflake, Looker, AWS, Git, and more, resulting in a 23% speedup in business intelligence and saving over 21 hours of manual effort.
Delivered data science-driven CRE investment recommendations to internal and external stakeholders including Investment Sales and Institutional Investor clients, via the implementation of data mining, analysis, and visualization solutions - Initiated an alternative data strategy to find alpha signals by sourcing and analyzing employment data, mobile location data, air traffic data tracking hotels / commercial real estate market recovery that sped up the acquisition process, resulting in $350MM+ in office and hotel investment revenue during the COVID-19 pandemic - Established a data archiving strategy compressing CSV files and developed ETL pipelines to 5 hours faster per operation with reproducible data access, using PostgreSQL, AWS S3, and Dask - Created compelling data insights and visualizations to enhance demographic analysis and investment appetite on commercial assets, using Flask, Dask, Plotly, Folium, Mapbox, and GeoPandas for investment sales - Built the market analytics tool and dashboard to automate weekly reporting process, aggregating 30 years of siloed proprietary statements for trend analysis and saving 40+ hours of work/month using Flask, Plotly and mapbox - Developed multiple web scrapers to reduce data subscription costs by 18% using Scrapy, Splash, Selenium, and bs4 to scrape data and performed NLP tasks such as parsing, text pre-processing, and named entity recognition
Cornell Tech incubated Intensive data science fellowship for STEM Ph.D. and Masters with <2% admission rate. The curriculum includes • Machine Learning, Natural Language Processing, Data Structure and Algorithm, Distributed Computing, Data Visualization, Web Application Development • Programming Languages and Tools: Python, SQL, Spark, Hadoop, MapReduce, Git, Unix, Heroku, Flask, AWS