Vaardigheden (11)
Bruno in het kort
I build Performance Dashboards to help you make better decisions based on data fast.
I help you define the best KPI's, find the data and fully automate dashboards so you can focus on performance
I help you define key actions based on KPI trends and implement them.
I have extensive experience with analyzing media mix, conversion pipelines, building LTV models so you can get the most out of your marketing spend.
I have experience with python, ML and NLP libraries (XGBoost, NLTK, Sci-kit Learn, Tensorflow) and with deploying models on the AWS ecosystem (Lambda, EC2, S3) and using tools like Docker and Airflow.
Werkervaring
- Food e-commerce CompanyData Analytics and Engineering ConsultantE-COMMERCEoktober 2022 - Vandaag (2 jaren en 7 maanden)The Hague, NederlandI built Performance Dashboards from scratch to help the leadership team make data-driven decisions:- Built Daily, weekly and monthly dashboards on Key Performance Indicators (KPI) - Marketing, Finance.- Optimized Cost of Acquisition to maximize conversion and retention- Automated them through AWS ETL's and made them available on GoogleSheets and PowerBI- Identified key actions and what KPI trends triggers them- Coached the team to allow continuity and redundancy within the company- Ran A/B testing to find optimal discounts- Provide weekly insights and recommendations to
- E-Commerce ClientData Science ConsultantE-COMMERCEmaart 2022 - juni 2022 (3 maanden)New York, Verenigde StatenBuilt Predictive Machine Learning Models to Improve Conversion Rates- Defined the vision for the project, with projected steps, datasets needed and hypotheses- Exploratory Data Analysis: provided early insights on main conversion rate drivers and potential actionable levers- Predictive Models: built XGBoost model to predict conversion rate (CVR) impact from price changes. Delivered recommendation about the best approach to increase CVR by prioritizing high-impact products with high price elasticity
- HelloFreshAssociate Director, Data ScienceRESTAURANTSdecember 2019 - Vandaag (5 jaren en 4 maanden)New York, Verenigde StatenBuilt Online Decision Tool Using Streamlit: built a marketing channel performance comparison tool (based on ROI) to help drive marketing spend across key channels.Built Brand Propensity Model for Customer Targeting: built an XGBoost classifier using demographics data (Experian) to predict highest propensity between 2 brands. Used the model to target households with direct mail.Designed Measurement for A/B tests: selected test / control geos using a KNN algorithm for a Facebook lift test. Built counterfactuals using regressions in the holdout to measure incremental liftBuilt Causal Models to investigate business trends (unprecedented growth peak, CAC Increases) using Linear Regressions and Double Machine Learning.Building Pipelines / ETL’s: automated the data flow from Machine Learning Models into interactive google sheets and S3 buckets using python and SQL on Databricks.Leadership: Led team of 4 data scientists dedicated to supporting the Growth Marketing Team / Built strategic roadmaps & OKR’s / Led Stakeholder Relationships / Prioritization / Led team on Machine Learning and Forecasting Projects
2 externe aanbevelingen
BC
RW
Bob Campbell en 1 ander persoon bevelen Bruno aan
16-8-2022
Bruno was a key member of the Content Analytics and Data Science team at Audible during his 4-year tenure where he led several important cross-functional projects including the creation, execution, and launch of our ML-powered content investment greenlighting tool. Bruno was successful in leading this effort because he ensured he understood his end customer needs of the Content and Finance teams, but was also able to communicate the 'how' to the technical teams by defining what types of models would be needed from Data Science as well as aligning with Engineering teams to scale the tooling across the company. We've continued to iterate on the tool since Bruno has left, but we haven't strayed far from the initial build - a credit to Bruno's initial robust approach.
On a personal side - I always enjoyed getting to work alongside Bruno and would be keen to do so again. His lifelong learning approach to life and work is as refreshing as it is real and would benefit any team in the future.
On a personal side - I always enjoyed getting to work alongside Bruno and would be keen to do so again. His lifelong learning approach to life and work is as refreshing as it is real and would benefit any team in the future.
14-8-2022
Bruno and I worked together in the HelloFresh data science team, and I was really lucky to have Bruno as my manager there. He consistently inspired us with a lot of machine learning knowledge, and played a significant role in expanding data-driven solutions and automation techniques in the company.
Bruno also had great management skills. He always gave the team clear guide and correct direction that helped us make good contribution efficiently. He's also a really nice person that everyone likes to work with. I highly recommend Bruno to any company looking for data science solutions, and any team would be lucky to have Bruno!
Bruno also had great management skills. He always gave the team clear guide and correct direction that helped us make good contribution efficiently. He's also a really nice person that everyone likes to work with. I highly recommend Bruno to any company looking for data science solutions, and any team would be lucky to have Bruno!
Diploma's
- Machine Learning - Stanford OnlineCoursera2018