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Emma Todd
My name is Emma Todd, I’m a data professional working in NYC.
Leveraging experience in both data science and engineering, I use Python, R, SQL, machine learning, statistical analysis, relational database management, and data-driven storytelling to help teams make better decisions.
Work Experience
June - Aug 2019
American Regent
Marketing and Supply Chain Analytics Intern
Nov 2020 - Jan 2022
Michael Kors
Customer Data Analyst
Aug 2022 - Nov 2022
Made by Gather
Data Science and Analytics Consultant
Jan 2022 - May 2023
Fender
Data Scientist
May 2023 - Present
Made by Gather
Senior Data and Business Intelligence Analyst
Favorite Languages, Tools and Libraries
Python
R
SQL
SSMS
Azure Data Factory
Snowflake
Fivetran
Alteryx
Tableau
plotly
matplotlib
seaborn
ggplot2
Scikit-learn
NumPy
XGBoost
Certifications
Completed (12/2021)
IBM Data Science, Coursera
Courses Completed:
- What is Data Science?
- Tools for Data Science
- Data Science Methodology
- Python for Data Science, AI & Development
- Python Project for Data Science
- Databases and SQL for Data Science with Python
- Data Analysis with Python
- Data Visualization with Python
- Machine Learning with Python
- Applied Data Science Capstone
In progress
IBM Data Engineering, Coursera
Courses Completed:
- Introduction to Data Engineering
- Python for Data Science, AI & Development
- Python Project for Data Engineering
- Introduction to Relational Databases (RDBMS)
- Databases and SQL for Data Science with Python
- Hands-On Introduction to Linux Commands and Shell Scripting
- Relational Database Administration (DBA)
- ETL and Data Pipelines with Shell, Airflow, and Kafka
- Data Warehouse Fundamentals
Recent Projects
Python / R / Tableau / Machine Learning
Ensemble Machine Learning - Random Forest
Business value: Brought the most powerful and accurate predictive tools possible to drive informed decision making in new product development.
Made predictions about customer demand for new products based on historical performance of established material attributes. Used a Random Forest ML model that demonstrated a 22% reduction in MAPE, as compared to a singular regression tree approach. Results visualized using matplotlib and Tableau to communicate optimized product launch plan details.
Python / AWS / Sagemaker
Web Scraping of ECommerce Sites
Business value: Scalable competitive business intelligence.
Deployed Python "BeautifulSoup" package to scrape ecommerce websites. Built two script versions - a local Selenium driver retrieval with headless browsing functionality, and an API version for automation in AWS (Sagemaker).
R / Machine Learning / Correlation Testing
Macroeconomic Data Analysis
Business value: Analyzed and communicated prior business reactivity to macroeconomic events and projected those trends forward to set future expectations.
Created business forecasts using multiple linear regression models that ingest macroeconomic variables as predictive factors.
Python / R / GIS / Correlation Testing
Employee Retention Analysis
Business value: Leveraged company data for meaningful insights into retention challenges and recommended best KPIs for future retention reporting and analysis.
Used correlation testing to identify most impactful environmental factors that affect employee retention. Identified inflection points in data density plots to communicate key retention parameters. Also used geo-spatial analysis to evaluate the effect of commute times on retention metrics.
Python / Streamlit / GIS
Streamlit Web App
Business value: Open source dashboarding and app development integrating statistical analysis and trend extraction.
Coded an interactive data dashboard in Python using the Streamlit service and library to host in a web app.
Web Scraping / Python
Eclipse Data Visualization
Business value: Quickly analyze online data sets and extract seasonal trend.
Scraped eclipse data from Wikipedia with requests and BeautifulSoup to analyze magnitude seasonality and visualize upcoming eclipse events.
Tableau / GIS
Tableau Strava Dashboard
Business value: Advanced dashboarding and interactive visualization.
Created a Tableau dashboard with my personal Strava data.
R / GIS
Fender History Globe Visualization
Business value: Open source interactive visualization.
Fender history plotted on a globe using R plotly.
Python / Machine Learning
NYC Air Quality K-means Cluster Analysis
Business value: Fast unsupervised ML clustering like events.
K-means cluster analysis of NYC Air Quality (NYC Open Data Set) as it relates to certain environmental parameters using Python.
Engineering and Process Schematics
