
Anne Charlotte Leysen
Verified Expert in Engineering
Data Scientist and Software Developer
Charlotte is an experienced professional in data science and analytics. She has worked in a range of industries, including finance, digital marketing, online marketplaces, and mental health. She has co-founded two startups, where her primary role focused on development, optimization, and business intelligence. Charlotte has a strong work ethic and strives for efficiency, delivering a high standard of work that brings top results.
Portfolio
Experience
Availability
Preferred Environment
Tableau, Jupyter Notebook, Python, Amazon Web Services (AWS), Google Cloud, Azure, Google Data Studio, Databases, SQL
The most amazing...
...project I've developed was the code and system architecture for a startup I founded. I also advised on marketing, sales, and business development.
Work Experience
Co-founder
EmptyChair
- Founded an eCommerce B2B2C booking platform focused on the consumer experience industry through a mobile "empty chair marketplace." I was the head of data, analytics, technology, and finance.
- Built the company analytics dashboard to include key operational and financial metrics data. Integrated data analytics knowledge as a strategic decision scientist with weekly growth metrics and user marketing.
- Built a seamless cross-platform (web and iOS) application from scratch, created new features, and improved the UX and UI. There was a high focus on the complete automation of the platform.
- Developed a strong understanding of the online retail market and business strategy in digital marketing, along with a strong proficiency in SEO, Swift, and LAMP.
Co-founder
It's Ping
- Developed a web-based chatbot using Dialogflow (a Google NLP tool) and Node.js. Created an online dashboard to view data collected from the chatbot with real-time statistics and aggregated metrics.
- Collaborated with the co-founder to create a seamless, empathetic, engaging chatbot for employees at work. The chatbot contains several modules to help identify specific work or home problems and overall moods.
- Oversaw the chatbot's training with testers and round-table sessions. This helped improve our product and pivot to a better version.
Senior Data Analyst
Expedia
- Developed testing standard practices (A/B tests and pre-post testing) and conducted several experiments to optimize Expedia's global search engine marketing.
- Created automated scripts using python to generate keywords and ads for Expedia's digital marketing strategy.
- Developed trading and monitoring dashboards for operations teams to use daily and track performance. Predominately used BigQuery to pull the data into a Tableau dashboard, which refreshed automatically.
- Conducted data analysis to aid strategic decision-making within strategy and marketing teams. Worked on Python and R and explored data to provide valuable insights and recommendations to use in this eCommerce-based marketing business.
- Developed the eCommerce advertising platform in Google Ads and helped to optimize the framework for the automation and implementation of thousands of campaigns and keywords.
- Developed several ML models to predict the revenue of new hotels onboarded into Expedia. The model outcomes were productionized and used to drive marketing efforts and spending.
Research and Sales Analyst
Deutsche Bank
- Used statistical analyses to predict market trends and pitched macro trade ideas to investors, published market reports, optimized prediction trackers, created carry trade models, and produced market updates for the CEO.
- Executed FX transactions for asset management clients in spot, forward, and derivative products. Involved in the execution of exchange transactions of over £100 million in size.
- Coordinated a TEDx event featuring speakers on health and business. Responsible for pitching the initiative to senior management. Managed the entire process within the bank and hosted the speakers at the event.
- Accredited with the sole responsibility of chairing the "Ideas Lab" speaker series venture. Managed and led all aspects of the program, including hosting events, sourcing speakers, and internal marketing.
Experience
Data Engineering and Mathematics: Simulation of Large Crowds | Crowd/Crisis Management
Detailed OS maps were ingested (from the UK) to create a base landscape of buildings, streets, and pavements. A crowd was spawned onto the map with varying demographics (age, fitness, gender), and various stress responses were simulated for each crowd member, e.g., flight, fight, freeze, hide, etc.
The entire codebase was created with Python and hosted in AWS cloud. A UI/front end was built for users to create new simulations and view simulation results.
We did in-depth, real-world research on crowd behaviors and psychology for each new feature. I was responsible for translating the research into a form that code be coded, and I helped code many of the features implemented in the model.
Data Science: Home Hazard Predictive Machine Learning Model
The training dataset included address-level data on the buildings' construction, e.g., wall material, insulation materials, types of boiler, etc. This was enriched with other data, such as weather and poverty metrics.
We used supervised learning models such as logistic regression, SVM, and a random forest. We also experimented with clustering algorithms and Naive Bayes classifiers. The final outputs included low-, medium-, and high-level risk predictions for thousands of households across the UK.
Data Science | Data Engineer: Financial Research Company
The data pipeline consists of fetching data from various sources via APIs, ingesting it as raw files, processing it through a validation pipeline, and cleansing it into a final processed dataset. I built several dashboards on Power BI based on the data to aid the business in decision-making.
Created time series data pipeline from web scraping sites using Python, such as flight tracking data.
Data Science: AWS Support Function for Joint BioSecurity Centre
Data Engineering: A/B Testing and Experimentation Platform for YouTube Content Creators
My responsibilities included refining and validating the supporting data model in Amazon Redshift. I used SQL to explore data and identify necessary changes, collaborating with engineers to implement changes.
I also defined performance metrics based on exploratory data analysis, product considerations, and statistical power analysis, such as tweaking metric definitions to allow A/B tests to run faster. I built self-service experiment analysis and metric tracking dashboards using SQL and Python in a Sisense visualization product.
Data Analysis: Digital Marketing for Expedia
I challenged digital marketing strategies and improved growth by running incrementality tests such as pre- and post-testing, A/B testing, and time series modeling. I also found opportunities for collaboration between the Expedia brands to leverage our combined market share. I used various modeling techniques in R and Python, data preparation in SQL, and data visualization using Tableau and Qlik Sense.
Entrepreneurship: EmptyChair Technical Co-founder
I co-founded and built the website and back end to run the platform entirely and automatically. The platform grew to over 10,000 users in the 1st year and registered over 200 partners.
Data Analysis: Churn Analysis for Company Optimizing YouTube Content Creators
I also explored key drivers of user cancellations, including user demographics, properties, and behaviors. I built a pipeline to assess feature importance using an XGBoost model. I produced graphical charts to analyze patterns and correlations across cancellation rates and features. Finally, I leveraged ChartMogul's churn rate calculations regarding the customer, net MRR, and gross MRR to build a coherent story around the development of the churn rate over time.
Data Analysis: Marketing Attribution Models
Data Science: Hospital Management
Skills
Tools
Microsoft Excel, Tableau, Microsoft Power BI, Amazon SageMaker, BigQuery, Bloomberg, Dialogflow, Qlik Sense, Sisense, AWS CLI
Platforms
Jupyter Notebook, Amazon Web Services (AWS), Azure, Databricks, RStudio
Other
Visualization, Data Analysis, Data Analytics, Data Visualization, Dashboards, Google BigQuery, Machine Learning, Statistics, Predictive Modeling, Artificial Intelligence (AI), Web Scraping, Data Scraping, Neural Networks, Azure Data Factory, Data Engineering, A/B Testing, Predictive Analytics, Amplitude, eCommerce, Google Data Studio, Economics, Econometrics, Mathematics, Entrepreneurship, Web Development, Business, Marketplaces
Languages
Python, R, SQL, HTML, JavaScript
Libraries/APIs
NumPy, Pandas, Node.js, TensorFlow
Paradigms
Data Science
Storage
MySQL, Data Pipelines, Redshift, Google Cloud, Databases
Education
Master's Degree in Business Analytics and Big Data
IE Business School - Madrid, Spain
Bachelor of Science Degree in Statistics and Economics
University College London - London, UK