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Alex W. is listed as Psychiatric Pharmacological Data Science at Mount Sinai Health System | Columbia University at Mount Sinai Health System, based in New York, New York, United States. AeroLeads shows a matched LinkedIn profile for Alex W..
Alex W. previously worked as Data Scientist at Mount Sinai Health System and Director at Business Brilliance. Alex W. holds Master Of Science - Ms, Operations Research from Columbia University.
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I am a data science professional with extensive experience in data analysis, machine learning, and risk assessment. I have worked as Risk Analyst at MathWorks, Applied Data Scientist at Intent HQ, and currently, Data Scientist at Mount Sinai Health System. I build ETL pipelines, develop machine learning models, and present data insights to diverse teams. My work has improved model accuracy, enhanced data privacy measures, and contributed to research on environmental causes of autism.Please feel free to reach me at alexyfwang@gmail.com
Listed skills include Teaching, Leadership, Python, Data Analysis, and 9 others.
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New York, NY, US
Studied causal effect of maternal medication on offspring autism in Pharmacological Science and Psychiatry Labs at Icahn School of Medicine at Mount Sinai Health System.Team website: https://schlessingerlab.org/team/
London, GB
ConsultingAccelerated marketing’s digital transformation by analyzing millions of customer behavioral data, leveraging NLP concepts and machine learning methods in Python and PySpark under DataBricks and AWS environment, which will retain leaving customers and enrich the current data science tool box.
Natick, MA, US
Leading a team of three, I conducted climate stress testing to measure market risk sensitivity, replicating a Nobel Prize winner's paper. The study formed a baby step for the development of MatLab’s Climate Toolbox. Additionally, we researched systematic climate risk imposed on financial sectors, developed a portfolio of stranded assets as a market-based.
Winston-Salem, North Carolina, US
The cost-effectiveness in the healthcare industry has a substantial potential to improve. I implemented chronic condition algorithms, increased data processing capacity, and influenced healthcare price transparency through Python data analysis. This resulted in a 60% improvement in cost estimation accuracy, a threefold increase in data ingestion capacity.
Chapel Hill, North Carolina, US
I coached 69 MBAs in machine learning and NLP concepts, as well as tweet scraping, aiding them in a hospitality consulting project. Additionally, I worked with a Research Associate and Dr. Daniel Ringel to collect 999 ESG reports from 113 S&P companies for an analysis on the correlation between ESG and financial performance.
Singapore, Singapore, SG
I performed various investment and portfolio management tasks, including visualizing 33K+ startup data, computed industry success rates, and recommended profitable industries to investors. I also summarized startups' market, product, team, and fundraising history, conducted research on India's VC market history, and managed multiple deadlines with.
北京, Beijing, CN
I recruited and trained a team of 16 assistants to enhance over 300 students' resumes from various schools. Additionally, I introduced a pioneering resume revision program at Peking University's Career Service Center, which brought international standards to its career service framework, thus modernizing the center's approach to career development.
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Alex W. works for Mount Sinai Health System.
Alex W. is listed as Psychiatric Pharmacological Data Science at Mount Sinai Health System | Columbia University at Mount Sinai Health System.
Alex W. is based in New York, New York, United States while working with Mount Sinai Health System.
Alex W. has worked for Mount Sinai Health System, Business Brilliance, Intent Hq | Ft1000 Fastest Growing European Business, Mathworks, and Wellnecity.
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Alex W. holds Master Of Science - Ms, Operations Research from Columbia University.
Alex W. is listed with skills including Teaching, Leadership, Python, Data Analysis, Project Management, Debate, Research, and Marketing.
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