1. Established quantamental investment strategies on over 30 industries including vehicles, household appliance, food and beverage, medical and biological & medical. Quantamental models are based on assumptions including valuation cycle and inventory cycle. Work conducted includes industry fundamental research, data gathering and processing, factor validation, signal filtering, backtest modelling. The monthly strategies obtained steady annual excess return (over 8%) and sharpe ratio on both in-sample and out-of-sample dataset.2. Constructed and tested alternative data investment, such as national consuming structure, weekly recruiting, financial momentum. The quarterly strategies obtained annual excess return over 10%.3. Developed data API to import financial data from iFinD and VSignal into overall project, with data extraction, data pipeline, data preprocessing and log record.

1. Conducted research on leading company in copper industry, considering macro-economy and industry prosperity, combined with corporate’s financial statements and credit spreads, analyzed investment value of corporate bonds2. Completed financial and credit analysis on urban construction investment bond in Chongqing, with sub-area comparison within the city and specific focus on issuing corporates

1. Conducted industry research independently, focusing on consumer retailing industry;2. Participated in on-site company surveys.

1. Completed the User and Marketing Report for a well-known short video platform as team leader, including determining research content and approaches and analyzed marketing effect from various dimensions;2. Completed the function design of big data management system for a medical company independently.

1. Extracted commercial advertisement data of SOHU video, used SQL to analyze fluctuation of click rate, selling rate and income, and completed daily report of video business data;2. Engaged in planning of data and services that should be provided in different scenarios of public opinion products.

Participated in financial risk assessing project of a large bank in China:1. Designed risk credit rating classification standard to assess bank loan clients’ probability of default;2. Assisted to establish the computing model and corrected R code of financial risk assessing project;3. Participated in report of model methodology, and responsible for content of data cleaning and variable screening.

Assisted to establish quantitative trading model with Python programming:1. Tested and modified code of 191 alpha factors given by Research Report by GUOTAI JUNAN SECURITIES (2017.6.15);2. Calculated time series of alpha factors of each stock, taking (2018.01.13-2019.01.21) as time interval, Csi 800 as benchmark;3. Assisted in de-extremizing and standardizing alpha factors;4. Designed specific threshold value of indexes (like IR, MAIC) and tested sample data to obtain daily effective alpha factors' set;Conducted stocks selection and developed investment portfolios.