Nick Ziolkowski

Nick Ziolkowski Email and Phone Number

Senior Data Scientist | Generative AI R&D at McKinsey & Company | Databricks Certified | Expertise in MLOps, Competitive Innovation, and Advanced Analytics @ McKinsey & Company
Nick Ziolkowski's Location
Denver, Colorado, United States, United States
Nick Ziolkowski's Contact Details

Nick Ziolkowski work email

Nick Ziolkowski personal email

n/a
About Nick Ziolkowski

As a seasoned leader in Generative AI and advanced analytics, I specialize in driving innovative solutions across diverse industries, leveraging cutting-edge machine learning technologies to solve complex challenges and create transformative impact.At McKinsey’s QuantumBlack Labs, I lead technical development at the forefront of Generative AI, pioneering advancements in multi-modal capabilities and advanced knowledge retrieval. My role combines deep research into emerging ML topics with strategic roadmap design to identify innovation opportunities and deliver state-of-the-art solutions.In previous roles, I’ve developed scalable data infrastructure and fine-tuned AI models for high-impact applications:• At COMETS, I built production-grade systems for processing terabyte-scale satellite data, enabling actionable insights and unlocking novel use cases in remote sensing.• At ACRE, I created data-driven analytics products that revolutionized agricultural marketing strategies and provided technical advisory to evaluate ag-tech startups for feasibility and market readiness.With a track record of blending technical expertise, strategic thinking, and cross-industry innovation, I thrive on tackling complex problems and delivering solutions that redefine what’s possible in AI and analytics.

Nick Ziolkowski's Current Company Details
McKinsey & Company

Mckinsey & Company

View
Senior Data Scientist | Generative AI R&D at McKinsey & Company | Databricks Certified | Expertise in MLOps, Competitive Innovation, and Advanced Analytics
Nick Ziolkowski Work Experience Details
  • Mckinsey & Company
    Senior Data Scientist
    Mckinsey & Company May 2023 - Present
    Us
    QuantumBlack Labs - Generative AI R&D [Current group]• Lead technical development at McKinsey’s Center of Excellence for Generative AI, driving advancements in multi-modal AI capabilities and advanced knowledge retrieval systems.• Conduct pioneering research into emerging machine learning topics, identifying innovation opportunities that shape the future of AI.• Design technical roadmaps and provide strategic guidance to ensure McKinsey remains at the forefront of transformative generative AI technologies.
  • Mckinsey & Company
    Data Scientist Ii
    Mckinsey & Company Jan 2022 - May 2023
    Us
    COMETS (Commercial Excellence Through Space) - Remote Sensing Analytics• Designed and implemented production-grade data infrastructure capable of managing terabyte-scale unstructured data to produce real-time, curated, and actionable insights from satellite imagery.• Fine-tuned foundational AI models to enable novel, high-impact applications in the remote sensing and geospatial analytics domain.
  • Mckinsey & Company
    Data Scientist I
    Mckinsey & Company Jul 2020 - Dec 2021
    Us
    ACRE (Agricultural Commodities Research Engine) - Agricultural Analytics• Developed innovative analytics products to transform the agricultural industry, enabling precision-driven marketing campaigns optimized by customer timing and location data.• Provided technical advisory and conducted assessments of ag-tech startups, evaluating technical feasibility, competitive positioning, and go-to-market strategies for impactful decision-making.
  • Us Department Of Agriculture (Usda) Agricultural Research Service (Ars)
    Honey Bee Researcher
    Us Department Of Agriculture (Usda) Agricultural Research Service (Ars) May 2016 - Jun 2020
    Washington, Dc, Us
  • University Of Arizona
    Graduate Machine Learning Researcher
    University Of Arizona Aug 2018 - May 2020
    Tucson, Arizona, Us
  • Mckinsey & Company
    Summer Data Science Fellow
    Mckinsey & Company Jun 2019 - Aug 2019
    Us

Nick Ziolkowski Skills

Mathematics Pandas Scikit Learn R Nlp Beekeeping Data Science Graph Databases Agile Project Management Real World Modeling Matlab Data Analysis Tensorflow Keras Agile Methodologies Deep Learning Scientific Writing Natural Language Processing Management Consulting Neo4j Molecular Biology Artificial Intelligence Business Analytics Critical Thinking Mlops Supervised Learning Unsupervised Learning Numpy Sql Python Analytical Skills Research Biochemistry Machine Learning Statistics Data Visualization Data Mining

Nick Ziolkowski Education Details

  • University Of Arizona
    University Of Arizona
    Information (Data Science Emphasis)
  • University Of Arizona
    University Of Arizona
    Chemical Engineering
  • University Of Arizona
    University Of Arizona
    And A Mathematics Minor

Frequently Asked Questions about Nick Ziolkowski

What company does Nick Ziolkowski work for?

Nick Ziolkowski works for Mckinsey & Company

What is Nick Ziolkowski's role at the current company?

Nick Ziolkowski's current role is Senior Data Scientist | Generative AI R&D at McKinsey & Company | Databricks Certified | Expertise in MLOps, Competitive Innovation, and Advanced Analytics.

What is Nick Ziolkowski's email address?

Nick Ziolkowski's email address is ni****@****sey.com

What schools did Nick Ziolkowski attend?

Nick Ziolkowski attended University Of Arizona, University Of Arizona, University Of Arizona.

What skills is Nick Ziolkowski known for?

Nick Ziolkowski has skills like Mathematics, Pandas, Scikit Learn, R, Nlp, Beekeeping, Data Science, Graph Databases, Agile Project Management, Real World Modeling, Matlab, Data Analysis.

Free Chrome Extension

Find emails, phones & company data instantly

Find verified emails from LinkedIn profiles
Get direct phone numbers & mobile contacts
Access company data & employee information
Works directly on LinkedIn - no copy/paste needed
Get Chrome Extension - Free

Aero Online

Your AI prospecting assistant

Download 750 million emails and 100 million phone numbers

Access emails and phone numbers of over 750 million business users. Instantly download verified profiles using 20+ filters, including location, job title, company, function, and industry.