Expert Details
Machine Learning, Applied Statistics, Particle Physics, Python, C++, SQL, AWS and Azure Cloud
ID: 736571
Illinois, USA
Expert possesses significant experience in experimental research, data analysis and modeling. He has co-authored numerous software packages in physics experiments, industry and SaaS analytical platform developed in the digital advertising field. He has supervised undergraduate, Ph.D. students, data scientists and interns in various projects. He is primary author of many papers published in major peer-reviewed physics journals with application of machine learning algorithms in physics experiments. He also gave a few talks at international conferences and workshops.
Areas of Expertise include:
Experimental Data Analysis
Statistical Analysis
Collaborative Work
Particle Physics
Programming
Project Leadership
Algorithm Development
Machine Learning
Teaching and Supervision
Skills
Programming in Python, R, C++, Scala, Java, Fortran;
MatLab, ROOT (data processing and analysis framework), PAW (physics analysis workstation), RStudio;
{ SQL (incl. PostgreSQL, MySQL, SnowSQL), noSQL (Mongo, Redis, HBase, Cassandra, Neo4j) data bases;
{ Big data processing using Hadoop, HDFS, programming using Spark, Hive, MapReduce, Pig;
{ Machine learning using scikit-learn, MLLib, TensorFlow, Keras, PyTorch, H2O, distributed deep learning;
{ Natural language processing [incl. Gensim/NLTK/SpaCy/ULMFiT/ELMo/TextRank; GloVe/Word2Vec];
{ Computer vision [incl. OpenCV, YOLO/ResNet/SSD, OCR];
{ AWS Cloud (RDS, Amazon S3, EC2&ECR, Elastic Beanstalk, Lambda, SageMaker);
{ Google Cloud (Compute, Kubernetes and Cloud ML engines, BigQuery, DataLab);
{ Azure Cloud (Databricks, Delta Lake, Azure ML, Synapse Analytics);
{ Data visualization (Tableau, PowerBI, Python&R libraries, e.g. Plotly, Dash, Shiny);
{ Live data monitoring, writing software codes to control hardware operation.
Professional Achievements
- Research, Development in Scientific Laboratory Environment
- Work at Fermi National Accelerator Laboratory (Fermilab, USA), 2000, 2014; European Organization for Nuclear Research (CERN, Switzerland), 1997, 2011; Deutsches Elektronen-Synchrotron (Germany), 1998, 1999.
- Project Supervision, Management, and Task Leadership
- Leader of data science group: Strike Social, 2016, 2018
- Leader of two research physics groups: Fermilab, 2009, 2014; two algorithm groups: Fermilab, 2006, 2010
Education
| Year | Degree | Subject | Institution |
|---|---|---|---|
| Year: 2004 | Degree: Ph.D. | Subject: Elementary Particle Physics | Institution: JINR |
| Year: 1993 | Degree: M.S. | Subject: Theoretical and Nuclear Physics | Institution: Saratov State University |
Work History
| Years | Employer | Title | Department |
|---|---|---|---|
| Years: 2021 to Present | Employer: Undisclosed | Title: Chief Data Scientist | Department: |
Responsibilities:Expert is responsible for the application of Artificial Intelligence to optimize inventory for complex supply chains, demand and lead time analytics, material management, material network analytics and optimization. |
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| Years | Employer | Title | Department |
| Years: 2021 to Present | Employer: Undisclosed | Title: Consultant/Expert | Department: |
Responsibilities:Expert currently runs a Data Science, ML- and AI-related consulting service. |
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| Years | Employer | Title | Department |
| Years: 2019 to Present | Employer: Undisclosed | Title: Head of Data Science/Advisor | Department: |
Responsibilities:Expert serves this Artificial Intelligence research and development organization as Head of Data Science and as an Advisor. Operations take place in the U.S. and in India. He currently heads a team specializing in the following directions: Predictive maintenance and repairs, supply chain optimization, advertisement, eCommerce, document analytics and transcriptions of medical audio.Expert assists customers in building innovative solutions and applications using Artificial Intelligence, machine learning, deep learning, data science and open source technologies. Expert also provides solutions based on textual (document) analytics and speech recognition. For instance, he was responsible for the prediction of energy consumption and device efficiency for a building management company; for vibration and acoustic data analysis to detect anomalies in manufacturing plants; and for building document management systems. |
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| Years | Employer | Title | Department |
| Years: 2019 to 2021 | Employer: Navistar Inc. | Title: Senior Lead Data Scientist | Department: |
Responsibilities:Expert was tasked with the optimization of manufacturing of commercial trucks and buses. He worked in support of safe driving, IoT processing, telematics data, prediction of repairs and maintenance, developing streaming models for anomaly detection (engine and exhaust systems), estimating vehicles' remaining useful time, reliability analysis, financial predictions, and demand forecasting.Expert built algorithms and pipelines to detect anomalies and failures using Edge AI boards. Most of the projects described above have generated tens of millions in revenue or expense savings. Expert was also responsible for Big Data processing using Cloudera (CDSW), Hive, Impala, Databricks, and streaming data in Azure cloud (Delta Lake, Azure ML, Azure IoT Hub, IoT Edge, Functions). Plotly Dash, Tableau and Power BI visualizations. |
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| Years | Employer | Title | Department |
| Years: 2016 to 2019 | Employer: Strike Social | Title: Senior Data Scientist | Department: |
Responsibilities:Expert's achievements in this role included the development of recommendation and optimization tools for video advertising campaigns -- with multimillion dollar budgets -- at the largest YouTube advertising and data-driven company.During this time, Expert created online AI tools to support video advertising campaigns on DoubleClick, Adwords and Facebook platforms with multiple KPI's in a real time. He was also responsible for developing and supporting a number of online predictive models to better assess how data scientists can improve social media advertising. In his findings, these algorithms autonomously as a part of a new SaaS analytical platform, where Expert contributed heavily. His work has allowed the company to automate and significantly boost efficiency of advertising campaigns. Expert also developed several NLP-based technics (Natural Language Processing) to identify good and bad YouTube channels, and channel recommendation systems. He also developed algorithms that select 99% brand-safe channels according to IAS standards. During this time, Expert conducted research into object identification on videos. - Customer analytics, LTV modeling and predictions, optimization of promotions. |
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| Years | Employer | Title | Department |
| Years: 2014 to 2016 | Employer: Centro | Title: Sr. Data Scientist | Department: |
Responsibilities:Expert developed the recommendation system for a programmable media platform, where successes included the optimization of advertising campaigns, programming, statistical data analysis.He also developed prediction models for audiences, clicks, and viewability prediction. He was also tasked with the analysis of users' cookie-level data and real-time bidding data (multi-TB scale) using Amazon S3, Hadoop cluster with Spark, Spark MLLib, and Hive. Over and above these significant social media analytics responsibilities, Expert undertook the supervision of two interns, both of whom obtained Data Scientist positions in the same year. |
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| Years | Employer | Title | Department |
| Years: 2013 to 2014 | Employer: University of Virginia / Fermilab | Title: Senior Research Scientist | Department: |
Responsibilities:Expert was Head of Quantum Chromodynamics and Jet Energy Scale physics groups.His achievements during this time included the publication and presentation of group results at workshops and conferences. |
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| Years | Employer | Title | Department |
| Years: 2010 to 2013 | Employer: Florida State University / Fermilab | Title: Research Scientist | Department: |
Responsibilities:Expert was Head of the Quantum Chromodynamics physics group for five years. This group (about 70-80 scientists) studies processes with parton strong interactions. During his leadership of the group, 25 measurements have been published and submitted to physics journals.As a leader of the group, Expert was responsible for selecting physics topics, communication with analysis stakeholders, their technical and other support, organizing and running the group meetings, preparation of physics papers, and presentation of results at the collaboration workshops. Expert also convened the “Jet Energy Scale” physics group, which ran for five years. The goal of the group, which included about 30 scientists, was to develop methods and provide energy scale corrections for hadronic jets identified in the D0 calorimeter. The accuracy of the corrections is crucial for most of the experimental results. The jet energy scale method developed in D0 is the most precise in the world (with 1 to 2% accuracy in most of phase space). Results of developments across several years have been published. |
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| Years | Employer | Title | Department |
| Years: 2006 to 2010 | Employer: Kansas State University / Fermilab | Title: Research Scientist | Department: |
Responsibilities:As two-year Head of the 25-member Electron and Photon Identification group, Expert led in the goal of providing tools and methods for a reliable identification of electromagnetic objects -- electrons and photons -- in the D0 detector.He was responsible for developing and improving electron and photon identification criteria, their software implementation and support, and periodic validation of the identification efficiencies. The introduction of multivariate techniques allowed processes to decrease background rates up to 40%. All algorithms, criteria and results of their application were published. Achievements included the optimization of D0 electromagnetic triggers, as well as calibration of CMS EM and hadronic calorimeters using test beam data. Expert led the development of Level 1 and High Level Triggers, including identification tools for low energy electrons; and the development of an algorithm for the reconstruction of clusters in the CMS preshower detector (implemented in the official reconstruction code). Expert stewarded the development of a method for improving energy resolution of electrons/photons in the CMS calorimeter (implemented in the official CMS software). He co-authored multiple official CMS software packages. |
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| Years | Employer | Title | Department |
| Years: 1964 to 2000 | Employer: Joint Institute for Nuclear Research | Title: Scientific Associate | Department: Laboratory of Nuclear Problems |
Responsibilities:Expert was responsible for the preparation (Monte Carlo modeling, analysis of beam test data) of CMS experiment, as well as for physics analyses of D0 data at the Tevatron.Expert contributed to the D0 Muon detector group for three years, wherein he contributed support of software tools for the muon system monitoring, work in EMID and QCD groups. Expert also taught at one university and another university center during this time. |
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| Years | Employer | Title | Department |
| Years: 1995 to 2000 | Employer: Joint Institute for Nuclear Research | Title: Scientific Associate | Department: Laboratory of High Energy Physics |
Responsibilities:Expert prepared the CMS experiment, including detector modeling with GEANT package, test beam data analyses for hadron calorimeter, the development of a method for jet energy calibration, and measuring gluon distribution in a proton.Expert worked at the HERA-B Experiment during a two-year electronics period in Germany. He also worked in the transition radiation detector and EM calorimeter groups. He was responsible for detector simulation of the physics processes using GEANT; development of tools for a global alignment of the HERA-B subdetectors. |
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Career Accomplishments
| Associations / Societies |
|---|
| American Physics Society Chicago Data Science group |
| Licenses / Certifications |
|---|
| – Neo4j Certified Professional (Mar 2023) – AWS certified Machine Learning - Specialty (Dec 2022 – Dec 2025) – Azure certified Data Scientist Associate (Feb 2023 – Feb 2024) – Intel certified as Intel Edge AI Developer (Sep 2021 – Dec 2023) - Complete Tableau Bootcamp for Data Visualization (2019). No Expiration Date - Complete Guide to Tensorflow for Deep Learning with Python - Deep Learning: Advanced Computer Vision - Artificial Intelligence: Reinforcement Learning in Python (2018). No Expiration Date - Data Science, Issuing authority University of Washington (2013). No Expiration Date - Machine Learning, Coursera (2013) |
| Awards / Recognition |
|---|
| Navistar Quality Award |
| Publications and Patents Summary |
|---|
| Primary author of 30 papers in major peer-reviewed physics journals -- such as Physics Review Letters, Physics Review D, and more -- and 15 papers published in proceedings of international conferences. Expert has given more than 50 talks at international conferences, workshops, and seminars. |
Additional Experience
| Training / Seminars |
|---|
| Expert's teaching experience has included: - Object-oriented data analysis in high-energy physics - Computing in high-energy physics - Quantum field theory (QFT) |