Federico Kulyckyj

Managing Partner at DataSense Software
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Contact Information
us****@****om
(386) 825-5501
Location
New York, New York, United States, US
Languages
  • English Native or bilingual proficiency
  • Spanish Native or bilingual proficiency

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Experience

    • United States
    • Software Development
    • 1 - 100 Employee
    • Managing Partner
      • Oct 2019 - Present

    • United States
    • Industrial Machinery Manufacturing
    • 700 & Above Employee
    • Data Science Intern (GE Power Digital)
      • May 2019 - Aug 2019

    • United States
    • Software Development
    • 700 & Above Employee
    • Machine Learning Engineer
      • Jun 2018 - Jul 2018

      • Analyzed user data and created machine learning algorithm in Python addressing time series problem to reduce cloud based operational server usage by estimated 90% • Ensembled Recurrent Neural Networks, Support Vector Regressions, and Extreme Gradient Boost models creating a macro model for weekly trends in server usage • Designed a rule-based algorithm leveraging trends to predict hourly server usage that would be operationally inexpensive to implement within the OneStream… Show more • Analyzed user data and created machine learning algorithm in Python addressing time series problem to reduce cloud based operational server usage by estimated 90% • Ensembled Recurrent Neural Networks, Support Vector Regressions, and Extreme Gradient Boost models creating a macro model for weekly trends in server usage • Designed a rule-based algorithm leveraging trends to predict hourly server usage that would be operationally inexpensive to implement within the OneStream platform Show less • Analyzed user data and created machine learning algorithm in Python addressing time series problem to reduce cloud based operational server usage by estimated 90% • Ensembled Recurrent Neural Networks, Support Vector Regressions, and Extreme Gradient Boost models creating a macro model for weekly trends in server usage • Designed a rule-based algorithm leveraging trends to predict hourly server usage that would be operationally inexpensive to implement within the OneStream… Show more • Analyzed user data and created machine learning algorithm in Python addressing time series problem to reduce cloud based operational server usage by estimated 90% • Ensembled Recurrent Neural Networks, Support Vector Regressions, and Extreme Gradient Boost models creating a macro model for weekly trends in server usage • Designed a rule-based algorithm leveraging trends to predict hourly server usage that would be operationally inexpensive to implement within the OneStream platform Show less

    • United States
    • Airlines and Aviation
    • 700 & Above Employee
    • International Scheduling and Planning Analyst
      • May 2017 - Aug 2017

      •Scheduled and optimized Delta’s 300+ wide body planes using Sabre Airvision under various constraints creating annual schedule and improving fleet utilization year over year •Analyzed maintenance requirements, flight rotations, and seat capacity of short-term international schedule reducing operating costs and realigning corporate business plan •Introduced and coordinated a bi-yearly operational audit with KLM, Air France, and Alitalia identifying inefficiencies and aligning… Show more •Scheduled and optimized Delta’s 300+ wide body planes using Sabre Airvision under various constraints creating annual schedule and improving fleet utilization year over year •Analyzed maintenance requirements, flight rotations, and seat capacity of short-term international schedule reducing operating costs and realigning corporate business plan •Introduced and coordinated a bi-yearly operational audit with KLM, Air France, and Alitalia identifying inefficiencies and aligning network decisions of Delta’s Atlantic Joint Venture •Self-taught SAS EG, SQL, and Tableau to merge 4 databases, calculate profitability and capacity for international network creating a dashboard to increase accessibility to data Show less •Scheduled and optimized Delta’s 300+ wide body planes using Sabre Airvision under various constraints creating annual schedule and improving fleet utilization year over year •Analyzed maintenance requirements, flight rotations, and seat capacity of short-term international schedule reducing operating costs and realigning corporate business plan •Introduced and coordinated a bi-yearly operational audit with KLM, Air France, and Alitalia identifying inefficiencies and aligning… Show more •Scheduled and optimized Delta’s 300+ wide body planes using Sabre Airvision under various constraints creating annual schedule and improving fleet utilization year over year •Analyzed maintenance requirements, flight rotations, and seat capacity of short-term international schedule reducing operating costs and realigning corporate business plan •Introduced and coordinated a bi-yearly operational audit with KLM, Air France, and Alitalia identifying inefficiencies and aligning network decisions of Delta’s Atlantic Joint Venture •Self-taught SAS EG, SQL, and Tableau to merge 4 databases, calculate profitability and capacity for international network creating a dashboard to increase accessibility to data Show less

    • Corporate Trainer
      • May 2016 - Aug 2016

      •Negotiated and opened consumer accounts through direct marketing campaign in the Metro Detroit area leading to $155,560 in yearly consumer revenue for AT&T •Interviewed and hired four account executives for full-time positions and led new team to acquire consumer accounts worth $36,000 of yearly revenue for AT&T in one week •Developed and implemented digital media strategy including Snapchat, Twitter, Facebook, and Instagram of Lucky Group Consulting to expand brand awareness… Show more •Negotiated and opened consumer accounts through direct marketing campaign in the Metro Detroit area leading to $155,560 in yearly consumer revenue for AT&T •Interviewed and hired four account executives for full-time positions and led new team to acquire consumer accounts worth $36,000 of yearly revenue for AT&T in one week •Developed and implemented digital media strategy including Snapchat, Twitter, Facebook, and Instagram of Lucky Group Consulting to expand brand awareness and marketing reach Show less •Negotiated and opened consumer accounts through direct marketing campaign in the Metro Detroit area leading to $155,560 in yearly consumer revenue for AT&T •Interviewed and hired four account executives for full-time positions and led new team to acquire consumer accounts worth $36,000 of yearly revenue for AT&T in one week •Developed and implemented digital media strategy including Snapchat, Twitter, Facebook, and Instagram of Lucky Group Consulting to expand brand awareness… Show more •Negotiated and opened consumer accounts through direct marketing campaign in the Metro Detroit area leading to $155,560 in yearly consumer revenue for AT&T •Interviewed and hired four account executives for full-time positions and led new team to acquire consumer accounts worth $36,000 of yearly revenue for AT&T in one week •Developed and implemented digital media strategy including Snapchat, Twitter, Facebook, and Instagram of Lucky Group Consulting to expand brand awareness and marketing reach Show less

    • Undergraduate Research
      • Sep 2015 - May 2016

      •Designed experiment alongside PhD student mentor regarding the causes of ACL injuries using Digital Image Correlation to test micro fractures versus critical event hypothesis •Adapted TI BASIC code creating program that cyclically strained and recorded measurements of ACLs dissected from sheep to create shear strain fields •Constructed custom Tensiometer and controlled ex vivo testing environment for experiment using design labs, power tools, and CAD blueprints created on… Show more •Designed experiment alongside PhD student mentor regarding the causes of ACL injuries using Digital Image Correlation to test micro fractures versus critical event hypothesis •Adapted TI BASIC code creating program that cyclically strained and recorded measurements of ACLs dissected from sheep to create shear strain fields •Constructed custom Tensiometer and controlled ex vivo testing environment for experiment using design labs, power tools, and CAD blueprints created on SolidWorks Show less •Designed experiment alongside PhD student mentor regarding the causes of ACL injuries using Digital Image Correlation to test micro fractures versus critical event hypothesis •Adapted TI BASIC code creating program that cyclically strained and recorded measurements of ACLs dissected from sheep to create shear strain fields •Constructed custom Tensiometer and controlled ex vivo testing environment for experiment using design labs, power tools, and CAD blueprints created on… Show more •Designed experiment alongside PhD student mentor regarding the causes of ACL injuries using Digital Image Correlation to test micro fractures versus critical event hypothesis •Adapted TI BASIC code creating program that cyclically strained and recorded measurements of ACLs dissected from sheep to create shear strain fields •Constructed custom Tensiometer and controlled ex vivo testing environment for experiment using design labs, power tools, and CAD blueprints created on SolidWorks Show less

    • iOS App Developer
      • Sep 2015 - Apr 2016

      •Designed consumer-to-consumer platform for exchange of University of Michigan sporting event tickets between students with three team members to publish on Apple’s App Store •Collaborated in development of five other team projects throughout the semester by fixing bugs, reducing run-time and increasing efficiency of application functions •Solidified skills in Apple’s Swift programming language and XCode IDE through online courses and experimentation to train prospective members… Show more •Designed consumer-to-consumer platform for exchange of University of Michigan sporting event tickets between students with three team members to publish on Apple’s App Store •Collaborated in development of five other team projects throughout the semester by fixing bugs, reducing run-time and increasing efficiency of application functions •Solidified skills in Apple’s Swift programming language and XCode IDE through online courses and experimentation to train prospective members of the organization Show less •Designed consumer-to-consumer platform for exchange of University of Michigan sporting event tickets between students with three team members to publish on Apple’s App Store •Collaborated in development of five other team projects throughout the semester by fixing bugs, reducing run-time and increasing efficiency of application functions •Solidified skills in Apple’s Swift programming language and XCode IDE through online courses and experimentation to train prospective members… Show more •Designed consumer-to-consumer platform for exchange of University of Michigan sporting event tickets between students with three team members to publish on Apple’s App Store •Collaborated in development of five other team projects throughout the semester by fixing bugs, reducing run-time and increasing efficiency of application functions •Solidified skills in Apple’s Swift programming language and XCode IDE through online courses and experimentation to train prospective members of the organization Show less

Education

  • University of Michigan College of Engineering
    Industrial and Operations Engineering, Logistics and Data Analytics
    2015 - 2019
  • University of Michigan - Stephen M. Ross School of Business
    Bachelor of Business Administration (BBA)

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