Overview
Work History
Education
Skills
Languages
Websites
Projects
Timeline
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Charmaine Vinarta

Long Beach,CA

Overview

4
4
years of professional experience

Work History

Business Analyst

Versadesk
Los Angeles, CA
03.2024 - 08.2024
  • Extracted data from HubSpot to SAP, turning it into actionable insights for production and overseeing financial transactions such as payments and refunds.
  • Improved overall efficiency of the business by implementing automated systems and streamlining workflows.
  • Efficiently managed daily tasks to ensure timely project delivery, including importing data from major portals such as Walmart, Alluvia, Wayfair, and BigCommerce.

Junior Data Engineer, Internship

Azuma Co, Ltd.
Tokyo, JP
09.2022 - 09.2023
  • Integrated big data from various sources including Oracle, Postgres, API sources, file systems and cloud-based object stores to data lake.
  • Enhanced production data pipeline efficiency by troubleshooting OOM errors, resolving failed transforms, and minimizing compute hours.
  • Developed two primary data models (conceptual, logical, and physical) for a business application and created transformation scripts to optimize datasets according to business requirements.

Sales and Marketing

Lacoste
Orlando, FL
09.2020 - 01.2021
  • Delivered exceptional sales performance and consistently achieved outstanding results that helped to contribute toward team success.
  • Generated weekly sales reports using Excel, demonstrating expertise in data manipulation and visualization.
  • Developed and implemented sales and marketing strategies to increase brand awareness for the franchisee's business.

Education

Master of Science - Information Systems & Tech - Business Intelligence

California State University San Bernardino
San Bernardino, CA
12-2023

Master of Arts - Business Marketing

California State University Northridge
Northridge, CA
08-2020

Skills

  • Python, R, SQL, PySpark, Tableau
  • SAP, HubSpot, Alluvia
  • Familiarity with machine learning concepts and applications Proficient in working with Databases, Data Warehouses, Data Marts, Data Lakes, and Big Data Stores
  • Knowledge of Big Data frameworks and tools (eg, Spark), Data Wrangling, ETL/ELT Processes
  • Dimensional Modeling, Data Modeling, BigCommerce, CommerceHub
  • Strong analytical skills and experience with data analysis techniques

Languages

Japanese
Native/ Bilingual

Projects

  • Titanic Survival Prediction (TensorFlow, Pandas, Numpy, Matplotlib, Seaborn, scikit-learn)
    Developed a machine learning model to predict passenger survival on the Titanic using Python and popular libraries such as TensorFlow, pandas, and seaborn.
    Conducted data analysis and visualization, implemented a neural network, and achieved a 80% accuracy on the validation set to answer the Kaggle Titanic ML competition challenge.
  • Building A Retail Data Pipeline (ETL/Data Pipeline, Parquet Data Format)
    Developed a data pipeline to analyze demand and supply around holidays for Walmart's expanding e-commerce business, accounting for 13% of total sales by the end of 2022.
    Executed data transformation tasks, including imputation, filtering, and monthly sales averaging, resulting in informed insights for optimizing sales strategies.

Timeline

Business Analyst

Versadesk
03.2024 - 08.2024

Junior Data Engineer, Internship

Azuma Co, Ltd.
09.2022 - 09.2023

Sales and Marketing

Lacoste
09.2020 - 01.2021

Master of Science - Information Systems & Tech - Business Intelligence

California State University San Bernardino

Master of Arts - Business Marketing

California State University Northridge

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Charmaine Vinarta