Intellex Acquires Expert by Big Village

We're thrilled to announce that Intellex has acquired Expert by Big Village, effective March 22, 2024. This strategic move enhances our capabilities and strengthens our commitment to delivering exceptional solutions to our customers.

Stay tuned for more updates on how this acquisition will benefit our clients and experts.

For inquiries or more information, please contact us at


Expert Details

Machine Learning, Applied Statistics, Particle Physics, Python, C++, SQL, AWS and Azure Cloud

ID: 736571 Illinois, USA

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Machine learning, Applied Statistics, Particle Physics, Python, C++.

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
Project Leadership
Algorithm Development
Machine Learning
Teaching and Supervision

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


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:
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.
Years Employer Title Department
Years: 2021 to Present Employer: Undisclosed Title: Consultant/Expert Department:
Expert currently runs a Data Science, ML- and AI-related consulting service.
Years Employer Title Department
Years: 2019 to Present Employer: Undisclosed Title: Head of Data Science/Advisor Department:
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.
Years Employer Title Department
Years: 2019 to 2021 Employer: Navistar Inc. Title: Senior Lead Data Scientist Department:
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.
Years Employer Title Department
Years: 2016 to 2019 Employer: Strike Social Title: Senior Data Scientist Department:
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.
Years Employer Title Department
Years: 2014 to 2016 Employer: Centro Title: Sr. Data Scientist Department:
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.
Years Employer Title Department
Years: 2013 to 2014 Employer: University of Virginia / Fermilab Title: Senior Research Scientist Department:
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.
Years Employer Title Department
Years: 2010 to 2013 Employer: Florida State University / Fermilab Title: Research Scientist Department:
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.
Years Employer Title Department
Years: 2006 to 2010 Employer: Kansas State University / Fermilab Title: Research Scientist Department:
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.
Years Employer Title Department
Years: 1964 to 2000 Employer: Joint Institute for Nuclear Research Title: Scientific Associate Department: Laboratory of Nuclear Problems
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.
Years Employer Title Department
Years: 1995 to 2000 Employer: Joint Institute for Nuclear Research Title: Scientific Associate Department: Laboratory of High Energy Physics
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.

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)

Fields of Expertise

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