Work Experience

D. LUXURY BRANDS    —    Culver City, CA

Data Analyst  ( October 2023 - Present )

  • Developed linear regression models in Python to analyze the impact of ad spend across various channels, such as Google Ads and Meta Ads, on client Web and Amazon sales to identify significant channel campaign types for strategic recommendations
  • Wrote SQL queries for integration of client custom Order Management System (OMS) data, conducting extensive data cleaning and manipulation processes of sales, product, and customer data to support reporting and analytics use cases
  • Built data-driven audit decks for +23 e-commerce brands, including high-grossing brands like NEST Fragrance and Good American, encompassing analysis of revenue health, customer LTV, product performance, and paid media performance
  • Implemented custom automated query for analysis of core product lines to enhance existing reporting and streamline evaluation of key metrics of sales performance and advertising effectiveness
  • Designed and implemented data models for attribution platforms like Triple Whale and affiliate platforms like UpPromote to support automated pipeline for paid media performance reports and Looker/Tableau dashboards


  • Appfolio, Inc.    —    Goleta, CA

    Data Scientist Fellow  ( January 2023 - June 2023 )

  • Built outlier detection models in Python using unsupervised learning models including Isolation Forest, Local Outlier Factor, and Support Vector Machine to identify anomalous financial transactions from the Appfolio Property Manager software.
  • Achieved precision of 75%, recall of 73%, and accuracy of 74% in detecting outliers through data cleaning, normalization, feature engineering, and hyperparameter tuning on 500,000+ clients' transaction data.
  • Developed scripts for artificial outlier injection into unlabeled dataset to assess model performance through generating IQR-defined values and groupings


  • UCSB L&S IT Collaborate Student Support Center    —    Santa Barbara, CA

    Operations Coordinator | Benchmarks Project Lead  ( March 2022 - April 2023 )

  • Managed and trained team of +20 Technical Support Consultants for on-site assistance over 19 computer labs and 183 Collaborate-supported classrooms
  • Provided software support for quarterly +100 tickets and phone calls using SaaS CRM platform Zendesk
  • Implemented digital benchmark system to assess technical consultants quarterly and overall enhanced technical competency by 16%

  • Technical Support Consultant  ( September 2021 - March 2022 )

  • Provided technical support for both hardware and software issues to students, visitors, and faculty members
  • Maintained computer labs for public usage and responded to departmental calls across campus labs and classrooms


  • Data Science UCSB Club    —    Santa Barbara, CA

    Director of Finance  ( April 2021 - June 2023 )

  • Managed financial accounts, overseeing budgeting, financial planning, and expense tracking while ensuring fiscal responsibility and alignment of club and community-focused objectives
  • Mentored students and assisted Intermediate Pipeline Director in teaching data science foundations through project-based learning and skill development, including areas such as SQL, Python, and Machine Learning
  • Coordinated career-oriented events including Career Fairs, Alumni Panels, and industry expert workshops, partnering with companies such as Amazon and Microsoft

  • Finance & Operations Officer  ( March 2020 - April 2021 )

  • Supported budgeting, fundraising, and coordination with university administrators and company sponsors for events and funding
  • Developed club website using HTML, Markdown, and Git and spearheaded club blog page for marketing efforts
  • Skills & Tools

    LANGUAGES

    SQL

    SQL

    Python

    Python

    R

    R



    LIBRARIES

    Pandas

    Pandas

    NumPy

    NumPy

    TensorFlow

    TensorFlow

    Scikit-learn

    Scikit-learn

    Keras

    Keras

    PyTorch

    PyTorch

    PySpark

    PySpark



    WEB

    HTML

    HTML

    CSS

    CSS

    js

    JS



    OTHER

    HTML

    GCP

    Excel

    Excel

    Power BI

    Power BI

    Tableau

    Tableau

    Git

    Git

    My Projects

    Explore my data science and analytics projects!

    K-means Clustering for Customer Segmentation

    Python Seaborn Sklearn K-means Clustering

    Logistic Regression Pipeline for Voter Turnout Prediction

    Python PySpark Logistic Regression Google Cloud DataProc Google Cloud Storage

    AirBnb Rental Price Prediction Project

    R Random Forest XGBoost K-Nearest Neighbors (KNN) Bagging

    Supplier Sales Data Analysis

    SQL Tableau Google BigQuery

    Customer Churn Analysis with Dashboard

    Excel Sheet Dashboard Pivot Table

    Hurricane Florence GIS Visualization

    Python GIS Geopandas Shapely Matplotlib Seaborn

    Let's Connect!

    Feel free to reach out