Data Analyst Science

Liliane Effoudou

Silver Spring, Maryland • 202-***-****• ************@*****.***

LinkedIn • GitHub

Professional Summary

Detail-oriented and bilingual (English/French) data analyst with a background in business, data visualization, and statistical research. Trained in evaluating and interpreting geographic and demographic data through hands-on projects at Montgomery College. Experienced in verifying and analyzing real-world datasets for accuracy and impact. Excels in independent research, data validation, and presenting clear, actionable insights.

Bilingual data analyst (English/French) with 10+ years of customer service experience and formal training in data science through Montgomery College. Proficient in Python, SQL, and R with a strong foundation in statistical analysis, data cleaning, and visualization. Experienced in using data to answer real-world questions, including equity and academic outcomes. Adept at communicating insights and working collaboratively to drive informed decisions.

Experience

Copper Canyon Grill – Silver Spring, MD

Server/Bartender Feb 2012 – Present

- Delivered excellent service in a high-volume environment, increasing guest satisfaction and return visits.

- Managed bar operations, maintained inventory, and trained new hires on workflow and customer engagement.

- Promoted specials and upsold menu items, increasing sales revenue by 15%.

- Developed transferable skills in communication, time management, and leadership.

Education & Certifications

Montgomery College – Takoma Park, MD

Associate of Arts in Business

- Coursework included marketing, finance, management, and public speaking

- Delivered a class presentation on the Southern Management Leadership Program

Certificate in Data Analytics

Montgomery College Completed 2024

- Gained hands-on experience in data wrangling, statistical analysis, visualization, and presenting findings

- Tools used: Python (Pandas, NumPy, Matplotlib, Seaborn), SQL, Excel, Tableau

- Completed multiple projects focused on real-world datasets and community impact

Technical Skills

- Languages & Tools: Python, SQL, Excel, Jupyter Notebooks

- Key Skills: Data cleaning, descriptive & inferential statistics, data visualization, storytelling with data

- Software: Microsoft Office Suite (Excel, PowerPoint, Access, Word)

Projects

Github Portfolio

Includes notebooks, visualizations, and full project write-ups

Capstone Project: Housing Inequality & Academic Success

- Analyzed the impact of high-property-value neighborhoods on public high school student achievement in Montgomery County

- Cleaned and merged demographic, property, and academic performance data

- Used statistical tests and visualization to present patterns in educational equity

Happiness 2017 Dataset Analysis

- Explored global happiness trends using Python

- Cleaned and analyzed data, and visualized relationships between GDP, life expectancy, and happiness scores

Languages & Interests

- Languages: Fluent in English and French

- Community Engagement: Regular volunteer in neighborhood initiatives

- Interests: Data storytelling, equity in education, public policy analysis

Contact this candidate