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This potofolio contains all the major findings and summaries of my researches and data science projects since May 2020

View the Project on GitHub jinhangjiang/My_Portfolio

Jinhang Jiang

Student Researcher at ASU Actionable Analytics Lab

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Featured Work

Visualize High-Dimensional Network Data with 3D 360-Degree-Animated Scatter Plot

Author: Jinhang Jiang
Published on: towardsdatascience.com
Date: June 25, 2021
Description: Use node2vec, networkx, pca, seaborn, etc. to visualize high-dimensional network data.

https://towardsdatascience.com/visualize-high-dimensional-network-data-with-3d-360-degree-animated-scatter-plot-d583932d3693


NetworkX: Code Demo for Manipulating Subgraphs

Author: Jinhang Jiang
Published on: towardsdatascience.com
Date: June 6, 2021
Description: Code demo for manipulating egonetworks using NetworkX in python.

https://towardsdatascience.com/networkx-code-demo-for-manipulating-subgraphs-e45320581d13


Customer Churn Accuracy: Increased 4.6% With TextBlob & SBERT

Author: Jinhang Jiang
Published on: towardsdatascience.com
Date: May 10, 2021
Location: Arizona State University | Tempe, AZ
Description: A walk-through about how I increased 4.6% accuracy on a small customer churn dataset with the customer service notes.

https://towardsdatascience.com/customer-churn-accuracy-a-4-6-increase-with-feature-engineering-29bcb1b1ee8f


LOL Match Prediction Using Early Laning Phase Data | Machine Learning

Author: Jinhang Jiang
Published on: towardsdatascience.com
Date: Nov 11, 2020
Location: Arizona State University | Tempe, AZ
Description: Used the first 10 mins data from approximately 10K games to predict the results in high-ELO rank games.

https://towardsdatascience.com/lol-match-prediction-using-early-laning-phase-data-machine-learning-4c13c12852fa


Analyzing Disease Co-occurrence Using NetworkX, Gephi, and Node2Vec

Author: Jinhang Jiang | Instructor: Dr.Karthik Srinivasan
Published on: Analytics Vidhya’s Medium Publication
Date: May 4, 2020
Location: The University of Kansas | Lawrence, KS
Description: I analyzed over 200 million EHR to build a network model, predicting diseases for high-cost patients at POA.

https://medium.com/analytics-vidhya/analyzing-disease-co-occurrence-using-networkx-gephi-and-node2vec-53941da35a0f


Simple Weighted Average Ensemble | Machine Learning

Author: Jinhang Jiang
Published on: Analytics Vidhya’s Medium Publication
Date: Oct 13, 2020
Location: Arizona State University | Tempe, AZ
Description: This is a walk-through about how to apply the weighted average ensemble to improve your prediction scores.

https://medium.com/@jinhangjiang/use-r-to-calculate-boilerplate-for-accounting-analysis-f4a5b64e9b0d


Use R to Calculate Boilerplate for Accounting Analysis

Author: Jinhang Jiang | Instructor: Dr.Karthik Srinivasan
Published on: Towards Data Science | medium.com
Date: May 19, 2020
Location: The University of Kansas | Lawrence, KS
Description: I calculated Boilerplate score for 1431 companies’ scoial responsibility reports. Here is a demonstration.

https://medium.com/@jinhangjiang/use-r-to-calculate-boilerplate-for-accounting-analysis-f4a5b64e9b0d