Data Scientist
CurrentDemocratizing reinforcement learning and adaptive interventions to personalize medicine, healthcare delivery, and patient support for improved health outcomes.
Nov 2024 - Present
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Babaniyi Olaniyi Email & Phone Number
Data Scientist
at
Causal Foundry
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✓ Verified July 2026
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Who is Babaniyi Olaniyi? Overview
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Babaniyi Olaniyi is listed as Data Scientist at Causal Foundry, based in Barcelona, Catalonia, Spain. AeroLeads shows a matched LinkedIn profile for Babaniyi Olaniyi.
Babaniyi Olaniyi previously worked as Senior Data Scientist at Zf Group and Data Scientist at Benshi.Ai. Babaniyi Olaniyi holds Master Of Science - Ms, Econometrics And Quantitative Economics from Universitat Autònoma De Barcelona.
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Causal Foundry
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About Babaniyi Olaniyi
Babaniyi holds a first-class honours degree in Mathematics and Statistics and a Master's degree in Quantitative Economics from the University of Paris 1.He is currently a Data Scientist at Causal Foundry where he works on democratizing reinforcement learning and adaptive interventions to personalize medicine, healthcare delivery, and patient support for improved health outcomes.In the past, at The Alchemist Atelier, Babaniyi honed his expertise in customer retention, segmentation, and product analytics, driving actionable insights for business growth. He also worked on the development of machine learning models targeting human behaviour, treatment personalization and healthcare delivery optimization at Benshi Al. At ZF Group, he leveraged advanced analytics to transform pricing strategies. His focus was on developing recommendation systems, forecasting demand, and optimizing pricing through machine learning to enhance profitability.He has a passion for teaching and sharing knowledge and has a track record of helping young people win scholarships worth over $100,000 through insightful talks and career guidance.
Listed skills include R, Statistics, Data Mining, Machine Learning, and 45 others.
Current workplace
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7 roles
Babaniyi Olaniyi work experience
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Senior Data Scientist
Specialized in leveraging advanced analytics techniques to optimize supply chain operations, including demand forecasting, inventory management, and developing product and price recommender systems. Applied machine learning models and statistical techniques to transform data into actionable insights, enabling data-driven decisions and improving business outcomes.
Feb 2023 - Sep 2024
Data Scientist
Data Scientist in a team that collects users, patients, and content data to predict their behaviour and provide adaptive interventions. I worked on diverse problems such as the development of ML models targeting human behaviour, treatment personalization and healthcare delivery optimization. With a focus on applying machine learning to serve users at scale, from demand forecasting and experimentation models to building reinforcement learning systems for mobile health recommendations.- Designed models to match pharmacists’ purchase plans with recommendations for what to buy and when to order, resulting in a significant increase in the number of unique items purchased and basket size.- Developed a cutting-edge survival analysis model to boost engagement in mobile health tools among midwives, resulting in an increase in user engagement rate. The model helped identify key factors that influence user engagement, leading to personalized interventions that improved engagement levels among midwives.
Jul 2021 - Feb 2023
Data And Business Intelligence Analyst
Noustique Perfumes / The Alchemist Atelier
- Extracting and analyzing data, designing reports, and delivering thoughtful presentations to senior management.- Conducted a comprehensive sales analysis to identify optimal breakeven prices and quantities for various business scenarios and recommended the most profitable route to management using advanced analytics and modelling techniques.
Oct 2019 - Apr 2021
Research Assistant
Institute Of Economic Analysis (Iae Csic)
- Extracted data from newspaper articles spanning 105 years (1914-2019) using Python web scraper, saving 10 hours of manual labour and ensuring smooth data download.- Contributed to a project aimed at understanding global conflict by gathering and processing vast amounts of data, thereby providing insight into the trends and patterns of the last century.
Jul 2019 - Sep 2019
Research Assistant
Transforming data into actionable insights, performing data analysis and special reports for key clients to identify data-driven trends and understand what matters and why.
Nov 2016 - Oct 2017
Undergraduate Research Fellow
- Applying statistical analyses & analytical methodologies on advanced analytics projects.- Teaching assistant for the courses: Statistics and Probability for Life Sciences, Basic Concepts of Sample Survey.
Sep 2014 - May 2016
4 education records
Babaniyi Olaniyi education
Master Of Science - Ms, Econometrics And Quantitative Economics
Master Of Science - Ms, Econometrics And Quantitative Economics
Bachelor Of Science - Bs, Mathematics And Statistics, First Class Honours
Master Of Science - Ms, Economics
FAQ
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What company does Babaniyi Olaniyi work for?
Babaniyi Olaniyi works for Causal Foundry.
What is Babaniyi Olaniyi's role at Causal Foundry?
Babaniyi Olaniyi is listed as Data Scientist at Causal Foundry.
Where is Babaniyi Olaniyi based?
Babaniyi Olaniyi is based in Barcelona, Catalonia, Spain while working with Causal Foundry.
What companies has Babaniyi Olaniyi worked for?
Babaniyi Olaniyi has worked for Causal Foundry, Zf Group, Benshi.Ai, Noustique Perfumes / The Alchemist Atelier, and Institute Of Economic Analysis (Iae Csic).
How can I contact Babaniyi Olaniyi?
You can use AeroLeads to view verified contact signals for Babaniyi Olaniyi at Causal Foundry, including work email, phone, and LinkedIn data when available.
What schools did Babaniyi Olaniyi attend?
Babaniyi Olaniyi holds Master Of Science - Ms, Econometrics And Quantitative Economics from Universitat Autònoma De Barcelona.
What skills is Babaniyi Olaniyi known for?
Babaniyi Olaniyi is listed with skills including R, Statistics, Data Mining, Machine Learning, Data Analysis, Statistical Modeling, Spss, and Stata.
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