Data Engineering on Google Cloud Platform Specialization

Models for Financial Economics

Probabilities

Amazon Web Services Machine Learning Specialty

Machine Learning

Financial Risk Manager(Level I) - PASSED

Financial Mathematics

Amazon Web Services Solutions Architect - Associate

Deep Learning Specialization

Volunteer

• Built (python based) NLP models for enterprise clients to reduce manual HR work in reading long-form employee surveys;
• Applied ML on employee engagement surveys to monitor HR metrics like Emotional Positive Scores (EPS) and retention rate;
• Analyzed clients’ employee performance surveys numerical ratings using time series methods to identify HR problems and gain actionable insights

Data Scientist

Researched on consumer brand recall vs NLP word embedding

Research Assistant

TA for MATH247 (an advanced level calculus III class)

Teaching Assistant

• Developed quantitative Python based pricing models;

• Designed macro-economic indicators models (e.g. GDP, interest rate) and investment strategies (Global Tactical Asset Allocation) to identify investment opportunities

Portfolio Engineering Co-op, Global Tactical Asset Allocation

Guest lecturer of IEMS 304 - Statistical Learning for Data Analysis

Guest Instructor

• Constructed total risk model for CPP portfolio (300 billions) over a long term;
• Researched on the US presidential election influences on CPP portfolio and applied an efficient risk-allocation framework using Python.

Total Portfilio Management Co-op

Selected as one of 36 fellows came from top institutions around the world. 

GGV is a $6.2bn VC that has backed Alibaba, Airbnb, DiDi, Slack, Bytedance, Grab, Ruangguru etc

GGV Fellow

• Programmed C# based critical internal financial analysis reports
• Monitored and Provided accurate data through SQL, Access & Bloomberg
• Calculated Excel & VBA based Profit and Loss(P&L) of previous financial year

Investment Systems Developer

Building Energent: https://www.energent.ai/

Cofounder and CEO

TA of Stat 157 - Introduction to Deep Learning

http://courses.d2l.ai/berkeley-stat-157/index.html

Graduate Student Instructor

Built LLMs at AWS AI; Lead contributor to open-source ML projects (60k+ github stars); AWS senior speaker; Co-author of D2L.ai (MAU 100k+).

AI/ML Scientist

Energent.ai gives you the power to automate your workflow on a private desktop, at you fingertips — no coding, no black boxes, just visible, controllable AI getting things done for you.

Working on Energent.ai, an autonomous AI analyst for data analysis, financial reconciliation, and operations.

Know about Rachel Hu's work experience, education, bootcamps, certifications, and much more. Rachel Hu