Jing
As a Statistician for Decision Innovation Solutions, Jing Tang is responsible for analyzing data to help clients to make better strategic business decisions, and to assist coworkers in improving model prediction and model estimation preference. Jing works with clients and coworkers on data cleaning, modeling estimation, optimization, prediction, machine learning, social media data mining, risk analysis, data visualization, as well as providing reliable analysis results.
So far, she has been involved in several projects, such as using the prices of soybean oil, corn, and heating oil to predict yellow grease, choice white grease, and DCO price, optimizing different factors’ conditions to increase yields coming from byproducts. She has also been involved in building up models to estimate feed consumption for livestock, poultry, horse, sheep and goats, as well as estimating pet food consumption for dogs and cats.
Jing comes from Beijing, the capital of China. She earned a Bachelor’s degree in Food Science and Technology at the Beijing Business and Technology University (BTBU), and obtained a M.S. degree in Food Science at the University of Missouri (MU), Columbia.
Also, Jing has a M.A degree in Statistics at MU. Therefore, Jing has the ability to combine both science and statistics knowledge together and to assist clients and colleagues in analyzing Areas of Expertise data, especially in the agricultural industry.
Education:
- Master of Food Science, University of Missouri
- Master of Statistics, University of Missouri
Expertise:
- Statistical Methods
- Machine Learning
- Data Analyzing and Prediction
- Data Visualization
Posts by: Jing
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U.S. Biodiesel Production and Feedstocks Usage Five Year Outlook
by Jing Tang
The US Energy Information Administration (EIA) published Monthly Biodiesel Production Report on June 28th. In this article, we will conduct a descriptive analysis of pure…
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Social Media Data Mining – A Powerful Tool for Decision Making
by Jing Tang
Within the past twenty years, the flow of information has exponentially increased, largely due to advancements in technology and adoption of social media. The speed…
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US and Chinese Perspectives on the Trade War – 2019 March Update
by Jing Tang
From our previous article, we compared the attitudes from the different perspectives of American and Chinese regard to the trade war (trade talks) since March…
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US and Chinese Perspectives on the Trade War
by Jing Tang
The trade war (trade talks) between the US and China started in March of 2018. Intensity of the trade talks increased until the G-20 summit…
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Utilizing Crop Progress Good and Excellent Condition Ratings for forecasting Iowa Corn and Soybeans Yield – Part 2
by Jing Tang
Our last article has emphasized that a good understanding of corn and soybean yields are important for the State of Iowa. So, we conducted a…
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Utilizing crop progress good and excellent condition ratings for forecasting Iowa corn and soybeans yield – Part 3
by Jing Tang
In this series of articles, we studied the relationship between the crop progress Good and Excellent condition ratings and the corn and soybean yields for…