Hi, I'm Akin Bruce - Data Scientist at Meta
I'm a Data Scientist passionate about uncovering deep insights from complex datasets, merging quantitative rigor with cutting-edge ML. I thrive in dynamic tech environments, transforming data into innovative solutions that drive product growth and user understanding.
At a glance
Curated signals on strengths, focus areas, and how they can help.
Formerly a licensed Actuary, applied rigorous statistical inference at CIGNA Healthcare.
Currently a Data Scientist at Meta, focusing on machine learning and product innovation.
Can help others by providing expertise in data engineering and advanced statistical modeling.
🚀 Career trajectory
Actuarial Lead Analyst at Cigna
Began career as an Actuarial Analyst, building a strong base in statistical analysis and risk assessment.
✦ Actuarial Science
✦ Data Analysis
✦ Healthcare
Data Engineering at Google
Transitioned to data engineering, focusing on building scalable data infrastructure and ETL pipelines.
✦ Data Engineering
✦ ETL
✦ Big Data
Data Science at Meta
Currently applying advanced machine learning and statistical modeling to drive product innovation and user insights.
✦ Data Science
✦ Machine Learning
✦ Product Analytics
💪🏻 Superpowers
Bridging Actuarial Rigor with Data Science Innovation
Transforming complex risk and financial data into predictive models.
✦ Licensed Actuary with deep understanding of statistical inference.
✦ Applied data engineering and machine learning at Google and Meta.
✦ Specializing in pricing strategy and demographic analysis.
Cross-Functional Data Storytelling
Translating technical findings for diverse stakeholders.
✦ Proficient in Python, R, SQL, and SAS for robust data analysis.
✦ Experienced in ETL processes and dbt for data pipeline management.
✦ Communicating insights from statistical models to business leaders.
Pioneering Human-Centric Data Applications
Exploring the intersection of data, behavior, and technology.
✦ Strong interest in human-computer interaction and survey research.
✦ Applying A/B testing to optimize user experiences.
✦ Contributing to machine learning advancements in product development.
I'm excited about
✦ Exploring cutting-edge machine learning techniques for real-world impact.
✦ Connecting with industry leaders to share insights on data strategy.
✦ Discovering opportunities for collaborative projects in AI research.
I can help with
✦ Offer expertise in building robust data pipelines and statistical models.
✦ Provide guidance on leveraging actuarial principles in data science.
✦ Share insights on optimizing user experience through A/B testing.
I would love your help on
✦ Identify novel applications for advanced statistical methods.
✦ Connect with researchers in human-computer interaction.
✦ Find collaborators for interdisciplinary data science initiatives.