Loan Le (loanple)

I’m an action oriented professional with a thorough understanding of data cleaning, manipulation, analysis, and visualization to derive impactful insights and conduct machine learning predictive modeling (regression, time series, K-means, decision tree, random forest, NLP, feature selection/engineering, SVM). I'm familiar with Advanced Excel, VBA, SQL, R, and Python.

With over 3 years of experience, I have worked in tech, retail, and fitness companies such as Chegg, Fitbit, and Puma. Currently, I'm now working at Apple. Utilizing these skills, I hope to leverage my analytical background to support a diverse range of projects.

Personal information
Full name: Loan Le
User name: loanple
Organization memberships
Not a member of any organization.
Awards
No awards received yet.
Volunteer background
Education: Master's on Applied Analytics (Columbia University)
LinkedIn profile
Portfolio
Volunteer availability
Start date: March 1, 2021
End date: None
Hours available per week: 20
Volunteering interests
No stated preferences.
Skills
Skill
Beginner
Intermediate
Expert
Python
JavaScript
Computer Science (Algorithms)
SQL
Text Data (NLP)
Data in Relational Databases
Data in Text Files
Geospatial
Network/Graph Data
Multimedia Data (Video or Audio)
Data from Sensors
Data > 1TB
GIS tools
Experimental Methods (RCTs, A/B testing, etc.)
Experience working on real-world problems using data
Social Science (Economics, Sociology, etc.)
Data Visualization
Data Analysis
Time Series Models
Random Forests
Causal inference
Decision Trees
Unsupervised models
SVMs
Neural Networks / Deep Learning
Semi-Supervised models
Regression Discontinuity
Instrumental Variables
Matching (e.g., Propensity Score Matching )
R
Julia
Stata
SPSS
SAS
Matlab

Volunteer projects

No volunteer work yet.