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Loren L. Chen is listed as Principal Data Scientist at tellic, based in New York City Metropolitan Area, United States. AeroLeads shows a work email signal at tellic.com and a matched LinkedIn profile for Loren L. Chen.
Loren L. Chen previously worked as Manager, Data Science and Engineering at Tellic and Senior Data Scientist at Tellic. Loren L. Chen holds Master Of Arts (M.A.), Economics from University Of Southern California.
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I am a data scientist with experience in using Python (numpy, Pandas, scikit-learn), R, SQL, Stata, etc to build supervised and unsupervised machine learning models for statistical inference, classification, regression analysis, NLP and other applications.Previously, I was a teaching assistant for undergraduate and graduate-level Economics courses at the University of Southern California, where I developed skills and techniques in communicating and presenting difficult technical topics in an effective and engaging manner to students with varying levels of previous expertise in the subject matter.In my free time, I host an NBA podcast where my co-hosts and I conduct weekly interviews with experts from around the NBA. I am also a two-time Jeopardy! champion.
Listed skills include Economics, Econometrics, Statistics, Stata, and 22 others.
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New York, New York, Us
tellic is a data science technology company that works with leading Pharma and Biotech companies. Our technology automates the extraction of genetic evidence from biomedical text data. The resulting knowledge graph powers applications for target selection, clinical trial protocol design, and BD. The impact can double R&D efficiency and reduce the risk of BD decisions by 30%.
The On the NBA Beat Podcast is a biweekly interview podcast about the NBA on The Basketball Podcast Network, a radio and podcast network with collectively over one million monthly listens.My responsibilities for the show include:• Booking and conducting biweekly focused interviews with media experts covering each of the thirty NBA teams, as well as the G-League, WNBA, Euroleague and the NBA at-large.• Researching potential topics and storylines, including using advanced statistics and mining data for exploratory analysis.• Editing audio for quality and content using different audio software, mainly Audacity.• Managing the website and social media (Facebook and Twitter) for the podcast.
New York, Ny, Us
• Supported Senior Data Scientists in teaching a twelve-week data science bootcamp.• Assisted students with issues relating to project design, web scraping, machine learning, data visualization and interpretation of results.• Performed code review and gave personalized feedback for students to improve understanding, technique and efficiency.
New York, Ny, Us
Metis is a 12-week immersive Data Science program, covering statistical inference, machine learning, programming, communication and project design. While at Metis, I designed, implemented and presented five end-to-end data projects demonstrating concepts such as data acquisition, supervised and unsupervised learning, NLP, classification and deep learning. See projects section for more details.
Los Angeles, Ca, Us
During my years of serving as a teaching assistant at the University of Southern California, I taught a variety of economics courses ranging from undergraduate to graduate and Ph.D. level. My primary responsibilities included:• Leading discussions/recitations twice a week for classes ranging from 20-50 students in size.• Grading assignments and exams in a timely manner for classes of up to 150 students.• Maintaining grading and correspondence records for professors.• Serving as a liaison between students and professors and answering questions and clarifying course material for students during weekly office hours and over e-mail, and substituting as lecturer during class time when asked to by the professor.Classes I have served as a TA for at the USC include:Economics of Financial Markets I (PhD Level), Intermediate Microeconomic Theory, Intermediate Macroeconomic Theory, Principles of Microeconomics, Principles of Macroeconomics, Economics of Happiness, Economic Development of East Asia.
Los Angeles, Ca, Us
My research during my graduate studies at the University of Southern California was focused on modeling two-sided matching markets. Models of this type have seen a wide array of real-world applications, notably the National Residency Matching Program, which annually assigns medical school graduates to hospitals for residency, and also high school assignment in New York and Boston.
Waltham, Ma, Us
During my undergraduate studies at Brandeis University, my research involved using agent-based models to study emergent phenomena in simulated markets. The simulation and agent behavior was modeled using the NetLogo Modeling environment, a freely-available, cross-platform, agent-based programming language. Specifically, I examined whether the results seen in the series of laboratory experiments by Smith, Suchanek, and Williams (1988), in which inexperienced traders acting in a simple double auction market invariably generate asset price bubbles and crashes, could be replicated in a computer-simulated agent-based model.
Waltham, Ma, Us
Graded problem sets and assisted students for MATH 8a: Introduction to Probability and Statistics
Burlington, Ma, Us
I had various responsibilities in my role as intern for the accounting and operations departments at Exa Corporation. My primary duty involved using Microsoft Dynamics GP (at the time, Great Plains) to create and record purchase orders from suppliers as well as to create sales orders and fill invoices for clients. In addition to this, it was my responsibility to contact suppliers for product information for needed items. Further, I used Microsoft Excel to create lease amortization schedules for equipment, as well as to investigate and provide explanations for variances in account balances. Finally, I used Microsoft Access to maintain databases for client information.
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Loren L. Chen works for tellic.
Loren L. Chen is listed as Principal Data Scientist at tellic.
AeroLeads has found 1 work email signal at @tellic.com for Loren L. Chen at tellic.
Loren L. Chen is based in New York City Metropolitan Area, United States while working with tellic.
Loren L. Chen has worked for Tellic, On The Nba Beat Podcast, Metis, University Of Southern California, and Brandeis University.
You can use AeroLeads to view verified contact signals for Loren L. Chen at tellic, including work email, phone, and LinkedIn data when available.
Loren L. Chen holds Master Of Arts (M.A.), Economics from University Of Southern California.
Loren L. Chen is listed with skills including Economics, Econometrics, Statistics, Stata, Research, R, Matlab, and Data Analysis.
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