Pavel Grechanuk

Data Scientist at Pacific Power
  • Claim this Profile
Contact Information
us****@****om
(386) 825-5501
Location
Portland, Oregon, United States, US
Languages
  • Russian Native or bilingual proficiency
  • Ukrainian Native or bilingual proficiency
  • English Native or bilingual proficiency
  • Spanish Limited working proficiency

Topline Score

Topline score feature will be out soon.

Bio

Generated by
Topline AI

5.0

/5.0
/ Based on 2 ratings
  • (2)
  • (0)
  • (0)
  • (0)
  • (0)

Filter reviews by:

Pavel was an extremely capable energy analyst in his time at the OSU Energy Efficiency Center.

Pavel has strong technical skills and a is valued team member. Pavel progressed quickly to expert level skills in the office and I always trusted the work he did as top notch.

You need to have a working account to view this content.
You need to have a working account to view this content.

Credentials

  • SQL Essential Training
    Lynda.com
    May, 2019
    - Nov, 2024
  • Learning R
    Lynda.com
    Mar, 2019
    - Nov, 2024
  • C++ Tutorial Course
    Sololearn
    Aug, 2017
    - Nov, 2024
  • Python 3 Tutorial Course
    SoloLearn
    Aug, 2017
    - Nov, 2024
  • MCNP Expert
    Los Alamos National Laboratory - MCNP Development Team
    Jul, 2016
    - Nov, 2024

Experience

    • United States
    • Utilities
    • 1 - 100 Employee
    • Data Scientist
      • Oct 2019 - Present

      Created a localized risk assessment model (LRAM) which is able to rank overhead lines based on a multitude of climate and utility factors.Used the LRAM to help prioritize grid modernization efforts to optimize the money spent and risk reduced.Utilized Bayesian models to predict outage events across our network based on forecasted conditions. Biased gridded forecasts with weather station measurements to increase agreement.Identified weather and vegetation conditions which necessitate a Public Service Power Shutoff event.

    • Higher Education
    • 700 & Above Employee
    • Graduate Research Assistant
      • Sep 2017 - Present

      Investigating applications of machine learning methods within nuclear science and engineering.Used SQL to extract data from multiple large databases and create machine learning datasets.Implemented a neural network, k nearest neighbor classifier, and other machine learning algorithms from scratch in Python.Used Python to create numerical simulations of radiation transport and other physics phenomena.Used Python and R for statistical analysis and visualization.

    • United States
    • Research Services
    • 700 & Above Employee
    • Data Science Intern
      • Jun 2018 - Oct 2019

      Applied additive explanation methods to interpret the outputs of complex machine learning models (LIME/SHAP).Visualized high dimensional data by applying dimensionality reduction techniques like PCA and manifold learning.Identified regions of interest for improving cross section data using feature importance measures.Applied affinity propagation clustering in Python to identify groups of benchmarks to speed up benchmark selection.Wrote a paper to be presented at the 2019 American Nuclear Society Math and Computation meeting.

    • United States
    • Research Services
    • 700 & Above Employee
    • Data Science Intern
      • Jun 2017 - Sep 2017

      Using random forests in Scikit-Learn predicted the error of nuclear criticality simulations on a large dataset (90,000+ features).Using feature importance measures identified isotopes and reactions of interest that could be increasing errors.Applied convolutional neural networks using the Pytorch package.Wrote a paper (now published) and presented at the 2017 International Conference for Transport Theory.Had to communicate the significance and validity of my approach to experts in the nuclear community who were not familiar with machine learning.

    • United States
    • Industrial Machinery Manufacturing
    • 1 - 100 Employee
    • Energy Analyst
      • Oct 2014 - Jun 2017

      Tour regional manufacturing facilities, collect data and prepare engineering recommendations for industrial clients to improve energy efficiency, reduce waste generation, and increase profitability. Draft energy assessment reports that include energy savings recommendations.Reports include energy saving recommendations and implementation costs, state and federal incentives, financial feasibility analyses, general background, utility analyses, common system best practices, and other relevant energy considerations.I managed Baseline operations, which entailed working with utility providers to obtain billing history, and then analyzing the bills to create future cost models.

    • United States
    • Research Services
    • 700 & Above Employee
    • Monte Carlo Simulations Intern
      • Jun 2016 - Sep 2016

      Created fixed source benchmarks for MCNP6, and compared results against analytic solutions using Python.Found an error associated with the flux tally at low grazing angles, which was patched in the new release of MCNP. Studied effect of S(α,β) special treatment in MCNP6 on criticality calculations.Prepared a summary paper for publication which was presented at ANS 2017 summer conference.

    • Sustainability Project Manager
      • Jun 2015 - Jun 2016

      I managed a project funded by the Student Sustainability Initiative, that aimed to reduce waste and promote holistic sustainability on the campus of Oregon State University. In the past, we have written recommendations that help the on campus power plant increase overall plant efficiency. Most recently, we did an economic analysis for installing solar panels and switching to LED light fixtures for student fee funded buildings.

    • United States
    • Non-profit Organizations
    • 200 - 300 Employee
    • Scholarship Chairman
      • Sep 2014 - Jun 2015

      Maintain a network of brother tutors.Make the chapter aware of academic services and opportunities provided by the university.Help brothers find tutors for specific subjects, and ensure that all brothers are achieving their academic goals.

    • Higher Education
    • 700 & Above Employee
    • Chemistry Tutor
      • Feb 2014 - Jun 2014

      One on one tutoring with students taking chemistry for engineers.Helped students develop proper studying habits.Assisted students in developing problem solving skills.

    • Laboratory Research Assistant
      • Oct 2013 - Feb 2014

      Understanding and following safe lab procedures.Cleaning teflon containers using AR acid.Titrating, distilling, and preparing acid in a clean room.Microwave Digestion of samples using HF

Education

  • Oregon State University
    Doctor of Philosophy - PhD, Nuclear Engineering
    2017 - 2020
  • Oregon State University
    Bachelor of Science (BS), Nuclear Engineering
    2013 - 2017

Community

You need to have a working account to view this content. Click here to join now