Recommendation letter for PhD application (Statistics)

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1. the letter writer is a professor, the professor will add his background on his own later. The letter’s attitude must be as a professor who taught me in a master’s degree course. The subject was data mining.
2. Please carefully read the attached CV
3. intended doctoral field is statistics
4. the main recommendation points should be related to the following (point a is the most important, others are no specific order):
a. student’s potential and skills in research (reference in CV, PROJECT OR RESEARCH part)
b. student skills (reference in CV – SKILLS part)
c. communication skill (no example, but maybe make up some)
d. enthusiasm to pursue a doctoral degree
e. try hard to discipline self on knowledge outside school (reference in CV ADDITIONAL EXPERIENCE)
f. the student cares about the world (reference in CV SCHOLARSHIPS & AWARDS part )

Name

 

EDUCATION

California State University, Fullerton – Fullerton, CA                                           Sep. 2018 – In Progress

M.S. Information System, cc data analytics

 

University of California, Irvine – Irvine, CA                                                        Sep. 2013 – Jun. 2017

B.A. Business Economics

Deans Honor List – 3 quarters

 

PROJECT OR RESEARCH

 

California State University, Fullerton                                                                                    Fullerton, CA

Model developer and knowledge researcher                                                        Jun. 2020 – Dec. 2020

  • Developed research questions and methodologies for given data sources
  • Designed and developed ETL process (via SQL), data cleaning, and data preprocessing methods
  • Researched and shared scientific papers with team member to aline group’s progress.
  • Performed statistical analysis on features using R and Python
  • Designed and performed machine learning models (e.g. XGBoot, RandomForeast, Deep Neural Networks) and tuned parameters and hyperparameter for refining the models
  • Collaborated with teammates to writing reports and conduct presentations

 

California State University, Fullerton                                                                                    Fullerton, CA

Model developer                                                                                                Jan. 2020 – Apr. 2020

  • Developed research questions and methodologies for given datasets
  • Performed data cleaning, and data preprocessing methods
  • Performed statistical analysis on features using R
  • Performed data mining models (e.g. Knn, CART, Logistic Regression, Clustering, etc.) and tuning parameters for refining the models
  • Collaborated with teammates to writing reports and conduct presentations

 

 

EXPERIENCE AND INTERNSHIP

 

Apex Digital Inc.                                                                                                               Chino, CA

Ecommerce Management and Business Analyst                                                           Nov.2018 – March. 2019

  • Performed Ad-Hoc data analysis and research for customers and products, prepare reports, frequent-using tools are Google Analytics, Adobe Omniture, SPSS, Excel, and Jungle Scout.
  • Provided strategic SEO and keywords biding management using Google Ads.
  • Participated in project management for website analysis system.
  • Participation on IT contract negotiation

 

 

 

Oregon Scientific Inc.                                                                                                                     Brea, CA

Ecommerce Operation                                                                                     Aug. 2017 – Nov. 2018

  • Processed day to day order, invoicing, and internal warehouse management using SAP
  • Managed Ecommerce channel on Amazon.com, eBay.com, and Walmart.com
  • Website management – performed site optimization on product layout and content display
  • Digital marketing and promotion management – managed and created social media post and interaction, strategic email blasting, SEO, and Google Ads.
  • Logistics management – managed daily shipping schedule with customers and 3PL, active and aging inventory management, strategic production schedule, and container import

 

LEADERSHIP/TEAMWORK EXPERIENCE

 

Alpha Gamma Sigma, Zeta Chapter                                                                       California Honor Society

President                                                                                                                     Feb. 2015 – June 2015

  • Attended as many committee meetings as possible. Sometimes run the meeting.
  • Arranged and conducted a board of directors meeting weekly and emphasize the duties and activities for the coming week.
  • Made certain that each club and board meeting is well planned and organized, flows smoothly, ends on time, and that each member has fun and experiences fellowship.
  • Kept networking with other clubs.
  • Established a climate of enthusiasm, openness, and concern.
  • Took feedback from advisors, members and board to develop ways to improve meetings, projects, and attendance.

 

 

 

ADDITIONAL EXPERIENCE

 

Deep Learning Specialization Course                                                                                        Coursera.org

by Andrew Ng, DeepLearning.AI                                                                      May. 2020 – Aug. 2020

  • Through five interconnected courses and 16-week discipline, the specialization help me to develop a profound knowledge of the hottest AI algorithms, mastering deep learning from its foundations (neural networks) to its industry applications (Computer Vision, Natural Language Processing, Speech Recognition, etc.).
  • Grade Achieved: 98.6%

 

Machine Learning Course                                                                                       Stanford Online

by Andrew Ng                                                                                                  May. 2020 – Jul. 2020

  • After the 11 weeks course, I have learned different types of regressions, basic neural networks, SVM, and unsupervised learning algorithms. I have also been exposed on anomaly detection ML system design, and recommender systems designs.
  • Grade Achieved: 99.22%

 

SKILLS:

 

  • Language: Chinese, English
  • Programming: Python, R, SQL (PostgreSQL and SSMS), MATLAB
  • Programming Software and library:
    • Python
      • Colaboratory, PyCharm, Eclipse, Spyder
      • TensorFlow, Keras, Sklearn, etc.
    • R
      • RStudio
      • ELT related (RPostgreSQL, DBI, etc.) and ML related (RamdomForest, XGBoost, FNN, Rpart, KNN, etc.)
    • Cloud platform: Azure (VM, Cognitive Services, PostgreSQL database, etc.), Colaboratory, AWS
    • Proficient in Microsoft Office (Word, Excel, PowerPoint, Access) and visual
    • Analysis and Reporting Tool: SPSS, Tableau, PoweBI
    • E-Commerce Tools: Adobe Omniture, Google Ads, Google Analysis, Jungle Scout

 

SCHOLARSHIPS & AWARDS

 

Ed Walsh Award  

by Alpha Gamma Sigma, Honor Society                                                                          Apr. 18, 2015

  • This scholarship was awarded to a person who is in recognition of excellence in service as a leader in the organization.

 

The President’s Volunteer Service Award (Gold Level)                                         Sep. 2014

by Corporation for National & Community Service

  • The award was awarded by U.S. government and the White House to a student who had over 250 community service hours.

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550 words
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