Trainer

Aleksandar Lazarevic

PhD, Machine Learning
AI / Data Science / Data Analytics Executive | Keynote Speaker

  • Consulting Partner – Sigmoid
  • Founder - AI&DA Insights
  • PhD, Data Mining, Machine Learning, Predictive Modelling, Temple University
  • MBA (ABD), Carnegie Melon University
  • MS in Computer Science & Engineering, University of Belgrade
  • Past: VP, Analytics - HelloFresh New York
  • Past: VP of Adv Analytics & Data Engr, Stanley Black & Decker, Inc.
  • Past: Senior Director of Data Science, Aetna
  • Past: Director of Decision Sciences, Commonwealth Bank of Australia
  • Past: Director, Personal Insurance Analytics, Travelers Principal Data Scientist, UTRC

Aleks has been doing Data Analytics / Data Science for almost 20 years. He has been doing a lot of innovative research, but he has also led many analytics organizations across the multiple Fortune 500 companies such as Stanley, Black & Decker, Aetna, Travelers and Raytheon (previously United Technologies Corporation). He helped many them accelerate their top-line and bottom-line growth through data analytics, AI and machine learning and enabled over $600M in value by focusing on relentless discovery of business opportunities, flawless technical delivery and efficient building high performing teams.

He has been continuously recognized for his scientific and leadership work in this area. He has been recently voted a Top 100 Data Innovator by Corinium Chief Data Officer community, and his analytics organization at Stanley Black & Decker has received a highly prestigious nation-wide FutureEdge50 Award, rewarded by CIO (IDG.com) for organizations pushing the edge with new technologies.

Aleks has immensely contributed to data analytics community through many publications, patents and professional services. He has written a book on data analytics in cyber security and published eight book chapters and over 50 research data science

articles, which were cited more than 6,500 times. In the last few years, he has been popularizing data science / analytics by giving invited / keynote talks at Chief Data Analytics Officer events, Gartner Executive summits, and other data science conferences.

He earned his PhD degree in Machine Learning from the Computer and Information Science Department at Temple University in Philadelphia.

Awards-winner:

  • Top 10 Data Analytics Leaders for the North America
  • Top 100 Global Data Innovator
  • FutureEdge50 Award

Some of the professional highlights include:

  • News / article about my work: HealthWire / ArcWeb: Aetna is taking on insurance fraud with machine learning
  • CIO Applications articles:
    • Quo Vadis Data Science?
    • QuantumComputing in Data Analytics
  • Forbes.com Technology Council member and DataRobot Advisory Council member
  • Technical Board advisor: Anomaly / Redesign Health, R2.ai
  • Frequent speaker at data science / analytics conferences
    • Invited Speaker/Panelist at Chief Data Analytics Officer events, Boston, Nov 2019 & Florida Jan 2020, virtual event -August 2020
    • Invited talk at the Gartner CIO Executive Summit, October 2019
    • Invited talk at Open Data Science Conference (ODSC), Boston, 2017, 2018 and 2019.
    • Invited Talk at Cognitive Computing AI Analytics Symposium, Temple University, November 2017
    • Invited talk at Predictive Analytics World in Health Care, New York City, October 2017
    • Talk at the Strata + Hadoop World Conference, Ignite event, New York City, September 2017
    • Keynote talk at IEEE International Conference on Health Informatics, Park City, UT, August 2017
    • Invited talk at Big Data Analytics Summit, Philadelphia, May 2017
    • Talk at National Health Care Anti-Fraud Association Conference, Atlanta, November 2016
  • Consulting Data Science: Delaware State University (2006–2011), Tesla Science Foundation (2010-2012)
  • Advisory Board Member for MS program in Health Informatics at Drexel university, 2017-present