Chen Trilnik's Email & Phone Number

💼 Past Experience

Chen Trilnik began his career at JPMorgan Chase & Co as a waiter in New York, New York. He then worked as a data scientist at JPMorgan Chase & Co in New York, New York from April 2017 to July 2017. He also worked as a business analyst at Woobi from March 2015 to April 2017 in Tel Aviv Area, Israel. He led day-to-day collaboration among finance, operations, sales, and R&D to establish a data-driven framework for capturing new business opportunities and maintaining existing client relationships. Chen also facilitated the integration of MYSQL servers and HubSpot CRM with Tableau to provide real-time KPI dashboards for over 50 employees globally. Chen also recommended sales team KPIs to the board of directors. Chen also designed algorithms to predict short-term (1 to 3 months) cash flow, mobile users supply and demand, fraud detection and employees monthly commission. Chen also managed monthly accounts payable.

🎓 Education

Chen Trilnik’s educational background in economics and East Asia studies obtained from Tel Aviv University in 2010-2014. Chen has been involved in the field of economic development studies for the past three years, focusing on areas of South Korea, Japan, and Taiwan. During her time at Tel Aviv University, Chen also holds a Master’s degree in Economics from the University of Cambridge. Chen’s current work readiness has been developed through extensive domestic and international law enforcement experience, BravoStrike (offensive counter-terrorism operations). Chen’s law-enforcement experience has been used in various courts across the United States of America, most recently with the Southern District of New York. Chen is currently completing herFinal Years Course at the London School of Economics and Political Science in Global Development and Security Studies. Chen Trilnik holds a Master’s degree in International Relations, also from Cambridge University.

💡 Technical & Interpersonal Skills

In her current role as Lead Data Scientist at JPMorgan Chase & Co in New York, New York, Chen Trilnik has numerous experience relevant to the field of Machine Learning and Data Science. She has worked on projects focused on predicting GDP growth for 9 European countries into 2020, determined top 10 features for predicting GDP growth, and implemented ARIMA time series and linear regression models to forecast growth of macroeconomic indicators and GDP estimates. Chen Trilnik is also particularly skilled in research, having built algorithms to predict Russian housing prices andscraped over 20K from the 2017 Michelin Guide using Python ‘Scrapy’ package.In her previous roles as Technical Real Time Analyst at Woobi and as Data Collector at Redwood International Sports, Chen Trilnik was responsible for performing market research for the Israeli’s agriculture office to evaluate loan appropriateness for farmers, developing financial models to estimate valuations of executive pay from publicly-owned companies, and in informing business decision makers by creating weekly dashboards using client-provided data.