Jianping Mu

Lead Data Scientist at Continental Finance Company
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us****@****om
(386) 825-5501

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Experience

    • United States
    • Financial Services
    • 1 - 100 Employee
    • Lead Data Scientist
      • Nov 2019 - Present

      Delaware, United States

    • United States
    • Higher Education
    • 700 & Above Employee
    • Grader
      • Jan 2018 - Dec 2018

      Greater New York City Area • Assisted professor grade the homeworks and quiz by using R and Python for 35 students. • Explained questions from students in the course of Applied Categorical Analysis about R

    • Data Scientist
      • Aug 2017 - Sep 2018

      Greater New York City Area Performed Data Collection, Data Cleansing, Data Visualization and Developing Machine Learning Algorithms on customers’ data by using several packages: Numpy, Pandas, Scikit-learn and Matplotlib Implemented various data preprocessing techniques to manipulate the unstructured, structured data and imbalanced data like SMOTE and Exploratory Data Analysis by using Numpy, Matplotlib packages in Python to visualize and get the insights of data and Clustered the customers into different groups… Show more Performed Data Collection, Data Cleansing, Data Visualization and Developing Machine Learning Algorithms on customers’ data by using several packages: Numpy, Pandas, Scikit-learn and Matplotlib Implemented various data preprocessing techniques to manipulate the unstructured, structured data and imbalanced data like SMOTE and Exploratory Data Analysis by using Numpy, Matplotlib packages in Python to visualize and get the insights of data and Clustered the customers into different groups by applying the K-mean and Hierarchy Clustering Implemented K-mean clustering methods on customer segmentation by creating various classes of the customers based on customer demography, age, income location etc. and performed dimensionality reduction technique: PCA to extract the important features from raw data Built detection system by using XGBoost Machine Learning algorithms to classify the customers’ actions based on the data collected from the ‘Alibaba’ online store Show less

    • United States
    • Utilities
    • 700 & Above Employee
    • Data Scientist
      • Dec 2016 - Aug 2017

      Greater Boston Area Performed Data Collection, Data Cleansing, Data Visualization, Data Clustering by using Python Implemented Natural Language Processing skills to fill out the blanks on the application forms from customers by using NLTK and re packages in Python Identified the extreme outliers by using DBSCAN, Boxplot to eliminate the impact of outliers and performed Exploratory Data Analysis by using Numpy package in Python and used Matplotlib packages to visualize and get the insights of… Show more Performed Data Collection, Data Cleansing, Data Visualization, Data Clustering by using Python Implemented Natural Language Processing skills to fill out the blanks on the application forms from customers by using NLTK and re packages in Python Identified the extreme outliers by using DBSCAN, Boxplot to eliminate the impact of outliers and performed Exploratory Data Analysis by using Numpy package in Python and used Matplotlib packages to visualize and get the insights of data Used Pandas, Numpy, Scikit-learn and Matplotlib packages in Python at various stages for developing machine learning algorithms like: Naïve Bayes, linear regression, logistic regression, KNN Built Decision Trees based on Entropy, information gain and Gini index for split criteria to classify the customers’ applications into pass or fail classes. Improved the accuracy of the models by using boosting and bagging techniques: Adaboosting, XGBoost and RandomForest Show less

    • United States
    • Higher Education
    • 700 & Above Employee
    • Tutor
      • Jan 2015 - Dec 2016

      Math department • Successfully assisted over 20 students to improve their exams’ scores per semester by explaining math theorems and solving math problems with them

    • Mentor
      • Sep 2015 - Dec 2015

      Economics Department • Operated and lead weekly meeting of 20 freshmen, made them be familiar with economics, campus and Boston

    • Business Specialist
      • May 2016 - Aug 2016

      Dalian, Liaoning, China • Helped costumers solve their problems from their first principals with the support of quantitative and qualitative analyses • Monitored “AliBaBa” online store’s sales and recorded data in Excel, reduced the error orders, saved time and costs • Placed and produced more than 50 postal orders everyday under high workload environment, made customers receive orders in time • Assisted to upgrade the company’s website, public social media and WeChat account.

Education

  • Columbia University in the City of New York
    Master's degree, Statistics
    2017 - 2018
  • Northeastern University
    Bachelor's degrees, Mathematics
    2012 - 2016
  • Northeastern University
    Bachelor's degree, Economics
    2012 - 2016

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