Kimberly Alberts
@kimberlyalberts
AI & Data Strategy Leader
What I'm looking for
I am a senior analytics and strategy professional with over 20 years of experience spanning financial services, data analysis, process improvement, and business transformation. My career has been centered on helping organizations make better decisions by turning complex data into clear, actionable insights and scalable solutions.
In my most recent role as a Senior Business Analytics Consultant, I led end-to-end analytical initiatives across multiple business domains, partnering with stakeholders to identify inefficiencies, improve processes, and implement data-driven strategies. I have strong expertise in SQL and Python-based analysis, KPI and reporting framework design, and translating business problems into structured analytical approaches. I’ve also worked extensively with investment data, ESG datasets, and enterprise data pipelines, enabling more efficient and accurate reporting for leadership teams.
A key differentiator in my background is my ability to bridge technical analytics with business strategy. I bring a consulting mindset to every engagement—focusing not just on analysis, but on impact, adoption, and measurable outcomes. I am also a Six Sigma Black Belt and PMP-certified professional, with deep experience in process optimization, cross-functional leadership, and operational transformation.
Currently, I am pursuing a Doctorate in AI Engineering with a focus on financial data and anomaly detection, where I am applying machine learning and NLP techniques to real-world financial datasets. My academic work includes deep learning model development, fraud detection experimentation, and applied research in market data quality and prediction.
I am particularly interested in roles at the intersection of analytics, AI, and strategy—where I can contribute to advanced analytics initiatives, product decision-making, or data-driven transformation efforts. I thrive in environments that value curiosity, collaboration, and innovation, and I am excited to continue growing into roles that combine technical depth with strategic impact.
Experience
Work history, roles, and key accomplishments
Led end-to-end business process analysis to identify inefficiencies and root causes, supporting digital transformation through automated and self-service workflows. Built reporting frameworks, data quality controls, and analytical models in SQL and Python to deliver decision-ready insights to business leadership.
Defined and implemented KPIs, dashboards, and performance metrics to enable continuous improvement and data-driven decision-making. Led Lean Six Sigma process improvement work using root-cause analysis, workflow redesign, and change enablement with cross-functional stakeholders.
Education
Degrees, certifications, and relevant coursework
Pennsylvania State University
Doctorate, AI Engineering (Market Anomaly Detection)
2024 -
Pursuing a Doctorate in AI Engineering focused on market anomaly detection at Pennsylvania State University.
Georgia Institute of Technology
Master of Science in Analytics, Computational Data / Machine Learning
2020 - 2023
Earned a Master of Science in Analytics focused on computational data and machine learning at Georgia Tech.
Duquesne University
Master of Business Administration, Global Sustainability
2011 - 2012
Earned a Master of Business Administration with a focus on global sustainability from Duquesne University.
Georgia Institute of Technology
Bachelor of Science in Mechanical Engineering, Mechanical Engineering
2001 - 2005
Activities and societies: Honors and cooperative education plan.
Earned a Bachelor of Science in Mechanical Engineering from Georgia Tech through a cooperative plan.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Salary expectations
Social media
Job categories
Skills
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