Jennifer Y.


440 dollar
9 ans
San Francisco, UNITED STATES

Mon expérience

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Newfront InsuranceSeptember 2019 - Présent

Newfront Insurance: a Y-Combinator Breakout Startup #breakout list 2019
•    Full Stack software engineer internship beginning in early Sept, tech stack: JavaScript, React, PostgreSQL, Salesforce etc.
•    Contribute to online platform development, handling business requests from brokers, account managers and clients
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TriplebyteAugust 2019 - January 2020

Tech Stack: Java, Python
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Zanbato, Inc.January 2020 - January 2020

Full Stack Software Engineer intern
Tech Stack: Python, Django, JS, React
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Seagate TechnologyMay 2019 - August 2019

•    Inference Analysis: Build inference and causality models to attribute influential e-commerce factors on pricing across retail channel

•    Machine Learning: Design machine learning algorithm to analyze and simulate product ranking on Amazon, with linear regression, random forest, neural network models, to provide insights on Search Engine Optimization (SEO) to marketing and sales team to improve return on investments (ROI)

•    Model Deployment: Build algorithms to validate hypothesis on competitor sales volume, propose solutions to implement models in database using SQL

•    Dashboard design: Visualize pricing analysis on Tableau Server with real time updates, promote to a wide range of stakeholders and users firm-wide
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FreelanceMay 2018 - April 2019

Worked on and contributed to multiple data science projects (10+) including:
1. E-commerce platform fraud detection (XGBoost, GBDT, Spark Streaming)
2. Cifar 100 Classification project (Feature augmentation/extraction, DenseNet, Transfer learning, Tensorflow, Keras)
3. Two-Sigma stock performance & sentiment analysis (deep learning, NLP, LSTM)
4. Movie Recommendation (Alternate Least Squares model, Spark, Deep Autoencoder model)
5. Youtube Comments Semantics Project (NLP, Spark, Word2Vec model)
6. Supply Chain Forest model (Linear Regression, Random Forest regressor)
7. Click through rate research project (GBDT, XGBoost, Logistic Regression, Spark ML)
8. Airbnb Optimal Pricing Strategy (Random Forest, Linear Regression, time series, Tableau for visualization)
9. Movie review clustering project (NLP, Latent Dirichlet Allocation (LDA), K-means)
10. San Francisco Crime Analysis (K-means, Spark, time series)
11. Cryptocurrencies database design (Python, MySQL, NoSQL, APIs, GUI)
12. ...More to come!
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JPMorgan Chase & Co.May 2014 - April 2018

• Recommend timely and tactical trading solutions, strategic investment advice across asset classes to ultra high net worth clients in Greater China region; independently cover more than 10 families; jointly cover more than 50 clients
• Responsible for and familiar with trade execution, and client order management while monitoring market movement

• Deepen client relationship with senior banker to provide customized investment review and proposal, efficiently address client concerns with seamless follow up
•    Built various quantitative models, Markov models, and Monte Carlo simulations in portfolio analytics to optimize return given VaR/Volatility, conduct predictive and sensitivity analysis on future cashflow; analyzed, visualized, and ed to clients.
•    Took initiatives in process automation for market updates, increasing efficiency by 50%; developed clustering models to study customer behaviors
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UBSDecember 2013 - April 2014

• Contributed to a comprehensive report on insurance sectors in Brazil and Mexico featuring market players, regulations and outlook
• Identified main growth opportunities in both traditional and alternative investments for the global sovereign markets in Latin America team given the economic forces, regulatory framework and competitive landscape in Brazil and Mexico
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China Asset Management Co., Ltd.August 2013 - September 2013

• Supported fund coverage on TMT, specifically movie/drama industry in China A-share market by
conducting industry research

• Compiled research report comparing current GEM (Growth Enterprise Market) Board with

NASDAQ during dotcom bubble
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Wall Street JournalMay 2013 - July 2013

Orchestrated customer churn project across multiple functional departments (sales, marketing,
digital), defined customer journey metrics after rigorous research to aggregate data on deep

granularities for interpretation, provided comprehensive solutions for personalization and retention
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NRI (Nomura Research Institute)October 2012 - April 2013

Conducted market and field research companies across industries, including technology, automobiles

and media.
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CITIC Securities Company LimitedJuly 2011 - September 2011

Hedge fund intern on event driven, long short strategies

Mes compétences

Web Services, TensorFlow, Tableau Software, SQL, Spring, Spark, Scala, Salesforce, React.js, Python, PostgreSQL, NoSQL, Natural Language Processing (NLP), MySQL, MS Office, MongoDB, Matlab, Machine Learning, Linux, Keras, JavaScript, Java, iOS, HTML, Hadoop, Git, Django, Deep learning, Data analysis, CSS, Continuous Integration, C/C++, Big Data, Android