Jack Yu Email & Phone Number

Jersey City, Nj, Us

Currently working at a payment platform in Shanghai, we providing services to gaming apps in Indian, Brazil, and Indonesia.

Shanghai

New York

Completed an immersive data science Bootcamp focused on python coding skills, data acquisition, machine learning, statistical modeling, and data visualization. Designed, implemented and presented the following ve projects:Steel Defect Detection· Applied Instance segmentation for localizing and classifying surface defects on steel sheet· Implemented Mask R-CNN on AWSBitcoin sentiment analysis using tweets· Utilized AWS to retrieve 3 years of tweets from the top 100… Show more Completed an immersive data science Bootcamp focused on python coding skills, data acquisition, machine learning, statistical modeling, and data visualization. Designed, implemented and presented the following ve projects:Steel Defect Detection· Applied Instance segmentation for localizing and classifying surface defects on steel sheet· Implemented Mask R-CNN on AWSBitcoin sentiment analysis using tweets· Utilized AWS to retrieve 3 years of tweets from the top 100 influencers in the crypto community· Performed natural language processing and Vader sentiment analysis to illustrate the trending topics of Bitcoin on twitterLendingClub Loan Fraud Prediction· Evaluated the performance of Decision Tree, Logistic Regression, Random Fores and XGBoost for classifying Lending Club loans will be fully paid or notIBM Stock Price Prediction- Built a linear regression model using Scikit-Learn to predict IBM'S stock price. Stock price data of IBM and other tech companies were scraped from Yahoo nance using BeautifulSoup. Show less

Greater New York City Area

· Explored machine learning and deep learning techniques for potential applications to finance and quantitative trading industry, utilizing popular libraries such as Pandas, Scikit-learn, and Keras.· Improved feature engineering and modeling skills through participating in Two Sigma’s Kaggle competition: Using News to Predict Stock Movements.· Developed an algorithmic trading system, including connecting to an exchange API, transforming data into predictive features, storing data in a… Show more · Explored machine learning and deep learning techniques for potential applications to finance and quantitative trading industry, utilizing popular libraries such as Pandas, Scikit-learn, and Keras.· Improved feature engineering and modeling skills through participating in Two Sigma’s Kaggle competition: Using News to Predict Stock Movements.· Developed an algorithmic trading system, including connecting to an exchange API, transforming data into predictive features, storing data in a database, and executing a classification model for live trading. Show less

Bethlehem

· Utilized quantitative and data analysis techniques to conduct product pricing analysis and strategic consulting for the local supplier of high-integrity steel.· Wrote and updated SQL queries to retrieve and clean data from internal database; utilized Python to build and run multivariate linear regression to detect and extract statistical relationship among the processing time of arching, the sleeve pattern including size, shape, and solidity of the foundry, and other variables.· Ran… Show more · Utilized quantitative and data analysis techniques to conduct product pricing analysis and strategic consulting for the local supplier of high-integrity steel.· Wrote and updated SQL queries to retrieve and clean data from internal database; utilized Python to build and run multivariate linear regression to detect and extract statistical relationship among the processing time of arching, the sleeve pattern including size, shape, and solidity of the foundry, and other variables.· Ran sensitivity analysis and adjusted modeling inputs to reach 95% significance; visualized analysis results in PowerPoint to present to product managers; proposed optimal solution to increase pricing and producing efficiency by 45%; contributed to firm's pitch for financing and investment. Show less

New York

· Conducted qualitative and quantitative due diligence on M&A deals focusing on the Financials sector.· Extracted and analyzed key financial metrics, such as Revenue breakdown by operations, Average Growth Rate of Revenue, EBITDA, etc., from financial statements and auditing reports; applied WACC and Perpetuity Method to produce valuation assumptions.· Applied financial modeling techniques such as DCF to provide valuation analysis on the merger deals;

Master'S Degree, Industrial Engineering

Master'S Degree, Materials Engineering

Research work in material science, industrial experiments in Bao steel, patents, industrial technology

Bachelor'S Degree, Materials Sciences