Alex Chen

Junior Data Analyst
Beverly Hills, US.

About

Highly motivated and detail-oriented recent graduate with a strong foundation in data analysis, statistical modeling, and data visualization, eager to apply analytical skills to drive data-informed decisions. Adept at transforming complex datasets into actionable insights using SQL, Python, and Tableau to support business objectives and optimize operational efficiency. Committed to continuous learning and contributing to a dynamic team environment as a Junior Data Analyst.

Work

Tech Solutions Inc.
|

Data Analytics Intern

Los Angeles, CA, US

Summary

Supported the analytics team in extracting, cleaning, and analyzing large datasets to identify trends and generate reports for product development.

Highlights

Developed SQL queries to extract and transform customer behavior data from a 1TB database, improving data retrieval efficiency by 25% for weekly reporting.

Cleaned and pre-processed unstructured data from various sources using Python (Pandas), reducing data preparation time by 15 hours per week.

Created interactive dashboards in Tableau to visualize key performance indicators (KPIs) for product usage, leading to a 10% increase in stakeholder engagement with data insights.

Assisted in A/B testing analysis for new feature rollouts, contributing to a 5% uplift in user engagement for tested features.

Education

University of California, Los Angeles (UCLA)
Los Angeles, CA, United States of America

Bachelor of Science

Data Science

Grade: 3.8/4.0

Courses

Statistical Methods for Data Science

Database Management Systems (SQL)

Machine Learning Fundamentals

Data Visualization

Introduction to Programming (Python, R)

Big Data Analytics

Languages

English
Spanish

Certificates

Google Data Analytics Professional Certificate

Issued By

Coursera

Skills

Programming Languages

Python (Pandas, NumPy, Matplotlib, Seaborn), R, SQL.

Data Analysis & Tools

Data Cleaning, Statistical Analysis, Exploratory Data Analysis (EDA), Microsoft Excel (Advanced), Google Sheets, Jupyter Notebook.

Data Visualization

Tableau, Power BI, Looker Studio, Matplotlib, Seaborn.

Database Management

SQL (PostgreSQL, MySQL), Database Querying, Data Extraction.

Soft Skills

Problem-Solving, Critical Thinking, Communication, Team Collaboration, Attention to Detail.

Interests

Technology

Artificial Intelligence, Machine Learning, Big Data.

Outdoor Activities

Hiking, Cycling.

Projects

Customer Churn Prediction Model

Summary

Developed a machine learning model to predict customer churn for a telecommunications company using Python and scikit-learn.

E-commerce Sales Performance Dashboard

Summary

Designed and built an interactive dashboard in Tableau to track and visualize sales performance metrics for an online retail store.