Tetyana Loskutova, PhD, Data Scientist and Developer in Hamilton, Canada
Tetyana Loskutova, PhD

Data Scientist and Developer in Hamilton, Canada

Member since June 17, 2022
Tetyana is a technology entrepreneur who strives to provide clients with end-to-end service when creating new software solutions or revamping old ones. Some of the projects she has completed include financial and accounting systems, ML-powered systems for NLP, forecasting, and anomaly detection. Tetyana has worked for clients in several countries and in various industries, such as energy, government, education, and biotechnology.
Tetyana is now available for hire

Portfolio

  • Mbaassist
    Python 3, Deep Learning, Django, JavaScript, Scikit-learn, Databases, R...
  • MultiChoice
    Python 3, Scikit-learn, Django, GraphQL, Azure ML Studio, Databricks, Spark...
  • Futuresgroup NL
    Python 3, SpaCy, Dash, Tableau, MongoDB, Linux, Databases...

Experience

Location

Hamilton, Canada

Availability

Part-time

Preferred Environment

Python 3, Amazon Web Services (AWS), Google Cloud Platform (GCP), Machine Learning, Python, Financial Modeling, Language Models, BERT, Document Parsing

The most amazing...

...project I've developed is an NLP system for extracting key information from regulatory reports of listed companies.

Employment

  • Director

    2020 - PRESENT
    Mbaassist
    • Developed a system for short-term market forecasting. The system tracks performance over time using the online dashboard on the company's website. The market forecasting system is also available through an API with free and paid options.
    • :. https://rapidapi.com/remote-works-default/api/media-obsessed-market/.
    • Became a top ML tutor in the Greater Toronto area.
    • Helped over 50 clients with small and medium projects for over a year.
    Technologies: Python 3, Deep Learning, Django, JavaScript, Scikit-learn, Databases, R, TensorFlow, Reinforcement Learning, Natural Language Processing (NLP), AWS Fargate, MongoDB, Linux, Data Science, Statistical Analysis, Decision Modeling, eCommerce, PyTorch, Machine Learning, NoSQL, Docker, Python, Amazon SageMaker, Non-fungible Tokens (NFT), Financial Data, Financial Modeling, Artificial Intelligence (AI), Text Analytics, Amazon Web Services (AWS), Jupyter, Amazon DynamoDB, Lambda Functions, Convolutional Neural Networks, Object Detection, Keras, Cloud Infrastructure, Large Language Models (LLM), Business to Business (B2B), B2B, Marketing Mix Modeling, Marketing Attribution, BigQuery, Google Analytics, Full-stack, Software Architecture, Technical Leadership, Computer Vision, Social Media, Social Media APIs, Architecture, Language Models, PDF, BERT, Document Parsing, Deep Neural Networks, NLU, Test-driven Development (TDD), Market Research, Data Analytics, Data Analysis, Market Research & Analysis, REST APIs, Leadership, CTO, Google Cloud Datastore, Google Cloud
  • Machine Learning Manager

    2019 - 2020
    MultiChoice
    • Recruited and coached a team of ML engineers. I have built a team from scratch and completed a forecasting project, content recommendation system, and fraud detection system.
    • Implemented an agile development process within my team, which served as an example for other teams in our department.
    • Established stakeholder cooperation across the company. I have led data science and ML programs across departments.
    Technologies: Python 3, Scikit-learn, Django, GraphQL, Azure ML Studio, Databricks, Spark, Databases, Reinforcement Learning, Linux, Data Science, Statistical Analysis, Decision Modeling, Machine Learning, Docker, Python, Amazon SageMaker, Financial Data, Financial Modeling, Artificial Intelligence (AI), Text Analytics, Amazon Web Services (AWS), Jupyter, Convolutional Neural Networks, Keras, Cloud Infrastructure, Azure, Marketing Mix Modeling, Marketing Attribution, Full-stack, Software Architecture, Technical Leadership, Social Media, Social Media APIs, Architecture, Language Models, PDF, Document Parsing, Deep Neural Networks, NLU, Test-driven Development (TDD), Data Analytics, Data Analysis, Kubernetes, REST APIs, Leadership, Chatbots
  • Chief Data Scientist | Founder

    2018 - 2019
    Futuresgroup NL
    • Designed and implemented a system for tracking international trade. The system processed and reconciled a large volume of data to analyze and forecast international trade and changes in political situations.
    • Researched, designed, and developed an international investment risk and opportunity analysis dashboard. The system was based on structured and unstructured data, including news, collected from various sources.
    • Implemented an agile development process in my team.
    Technologies: Python 3, SpaCy, Dash, Tableau, MongoDB, Linux, Databases, Natural Language Processing (NLP), Django, Scikit-learn, Data Science, Statistical Analysis, Decision Modeling, Machine Learning, NoSQL, Docker, Python, Modeling, Financial Data, Financial Modeling, Artificial Intelligence (AI), Text Analytics, Amazon Web Services (AWS), Jupyter, Cloud Infrastructure, Business to Business (B2B), B2B, Full-stack, Software Architecture, Technical Leadership, Social Media, Social Media APIs, Architecture, Language Models, PDF, Computer Vision, Document Parsing, NLU, Test-driven Development (TDD), Data Analytics, Data Analysis, REST APIs, Leadership, CTO
  • Consultant

    2017 - 2018
    Control Risks
    • Used anomaly detection algorithms to detect transactional data. These data helped the conviction of members of a credit fraud syndicate in a bank.
    • Detected insurance fraud syndicates using machine learning algorithms.
    • Worked on fraud detection projects with teams in the Middle East, South Africa, and the USA, preprocessing large volumes of data for analysis.
    • Developed sales lead tracking and management web system.
    Technologies: Python 3, SAP, Tableau, QlikView, Databases, Natural Language Processing (NLP), Django, Scikit-learn, Data Science, Statistical Analysis, Decision Modeling, Machine Learning, Python, Modeling, Financial Data, Financial Modeling, Artificial Intelligence (AI), Text Analytics, Amazon Web Services (AWS), Lambda Functions, Keras, Cloud Infrastructure, Business to Business (B2B), B2B, Full-stack, Software Architecture, Technical Leadership, Social Media, Social Media APIs, Architecture, Language Models, PDF, Document Parsing, NLU, Test-driven Development (TDD), Data Analytics, Data Analysis, REST APIs, Leadership
  • IT Consultant

    2007 - 2017
    EOH Holdings
    • Built several ML models for energy demand forecasting.
    • Developed an SMS-based scheduler and notification system for power station maintenance.
    • Used data science tools to develop a municipality revenue improvement system.
    • Created the design and architecture of web-based climate change monitoring and evaluation system.
    Technologies: Python 3, .NET, Java, Oracle, R, SQL, Databases, Linux, Data Science, Statistical Analysis, Decision Modeling, NoSQL, Python, Financial Data, Financial Modeling, Business to Business (B2B), B2B, Full-stack, Software Architecture, Technical Leadership, Architecture, Document Parsing, Test-driven Development (TDD), Data Analytics, Data Analysis, REST APIs, Leadership, Apache Kafka

Experience

  • Detection of Brain Tumors On MRI
    https://drive.google.com/file/d/1u6tE74yz2sFzVKVc1EOvbek6aicasWGH/view?usp=sharing

    I worked with a researcher to create a deep learning model that detected the shape of a brain tumor, if present, on MRI scans.

    The input was taken from T1 and T2 scans saved in *.dcm files, and the output was presented in 3D Slicer software.

  • VoiceAPI
    https://github.com/tetyanaloskutova/VoiceAPI

    An API to generate voice recordings from a voice sample and text.

    The API is deployable on AWS Fargate and uses the Tacotron PyTorch model for training and inference. Apart from voice generation, the API provides an option to fine-tune the model on new samples.

  • Day-Ahead Market Price Forecast Based on Media Trends
    https://rapidapi.com/remote-works-default/api/media-obsessed-market/

    This project uses historical price moves and sentiment changes in the media to predict price moves for a range of stocks for the following day. The predictions are based on a number of ML models (linear models, ensemble models, and LSTM). The models are evaluated for the previous day, and the best-performing model is chosen for the next day. The project's historical performance is tracked and is available as an API endpoint and an online dashboard:
    https://mbaassiste.herokuapp.com/

Skills

  • Languages

    SQL, Python 3, Python, R, JavaScript, GraphQL, Java
  • Frameworks

    Django, Spark, .NET
  • Libraries/APIs

    TensorFlow, Scikit-learn, Social Media APIs, REST APIs, PyTorch, Keras, SpaCy
  • Tools

    Amazon SageMaker, Jupyter, BigQuery, Google Analytics, AWS Fargate, Azure ML Studio, Tableau
  • Paradigms

    Data Science, B2B, Test-driven Development (TDD)
  • Platforms

    Oracle, Google Cloud Platform (GCP), Amazon Web Services (AWS), Azure, Docker, Kubernetes, Databricks, Linux, QlikView, Heroku, Apache Kafka
  • Storage

    Databases, NoSQL, MongoDB, Amazon DynamoDB, Google Cloud Datastore, Google Cloud, Amazon S3 (AWS S3), BigQ
  • Industry Expertise

    Social Media
  • Other

    Natural Language Processing (NLP), Deep Learning, Statistical Analysis, Decision Modeling, Machine Learning, Financial Data, Financial Modeling, Artificial Intelligence (AI), Text Analytics, Lambda Functions, Cloud Infrastructure, Large Language Models (LLM), Business to Business (B2B), Full-stack, Software Architecture, Technical Leadership, Computer Vision, Architecture, Language Models, PDF, BERT, Document Parsing, Deep Neural Networks, NLU, Data Analytics, Data Analysis, Leadership, eCommerce, Modeling, Convolutional Neural Networks, Object Detection, Marketing Mix Modeling, Marketing Attribution, Market Research, Market Research & Analysis, CTO, Chatbots, Reinforcement Learning, Biostatistics, Numerical Methods, Statistics, Tax Accounting, Applied Physics, Negotiation, Wireless, Dash, SAP, Non-fungible Tokens (NFT), Regression, APIs

Education

  • Master's Degree in Physics
    2020 - 2021
    McMaster University - Hamilton, ON, Canada
  • Ph.D. in Business
    2014 - 2017
    University of the Witwatersrand - Johannesburg, South Africa

Certifications

  • Les Fondamentaux de la N├ęgociation
    NOVEMBER 2020 - PRESENT
    ESSEC Business SchoOl Through Coursera.
  • Economics of Competing Energy Sources
    MARCH 2015 - PRESENT
    Stanford University
  • Certified Wireless Engineer
    APRIL 2013 - PRESENT
    Duxbury
  • Certified Energy Manager
    DECEMBER 2012 - PRESENT
    Association of Energy Engineers
  • Oracle SQL
    MAY 2011 - PRESENT
    Oracle

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