Tetyana Loskutova, PhD, Developer in Hamilton, Canada

Tetyana Loskutova, PhD

Data Scientist and Developer

Location
Hamilton, Canada
Toptal 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.

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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

Databases - 20 yearsSQL - 20 yearsPython 3 - 9 yearsNatural Language Processing (NLP) - 6 yearsGPT - 6 yearsScikit-learn - 6 yearsGenerative Pre-trained Transformers (GPT) - 6 yearsDjango - 5 years

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.

Work Experience

2020 - PRESENT

Director

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), GPT, Generative Pre-trained Transformers (GPT), 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 Model (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, OCR
2019 - 2020

Machine Learning Manager

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
2018 - 2019

Chief Data Scientist | Founder

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), GPT, Generative Pre-trained Transformers (GPT), 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
2017 - 2018

Consultant

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, Generative Pre-trained Transformers (GPT), Natural Language Processing (NLP), GPT, 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
2007 - 2017

IT Consultant

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 Model (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, GPT, Generative Pre-trained Transformers (GPT), eCommerce, Modeling, Convolutional Neural Networks, Object Detection, Marketing Mix Modeling, Marketing Attribution, Market Research, Market Research & Analysis, CTO, Chatbots, OCR, Reinforcement Learning, Biostatistics, Numerical Methods, Statistics, Tax Accounting, Applied Physics, Negotiation, Wireless, Dash, SAP, Non-fungible Tokens (NFT), Regression, APIs

Education

2020 - 2021

Master's Degree in Physics

McMaster University - Hamilton, ON, Canada

2014 - 2017

Ph.D. in Business

University of the Witwatersrand - Johannesburg, South Africa

Certifications

NOVEMBER 2020 - PRESENT

Les Fondamentaux de la Négociation

ESSEC Business SchoOl Through Coursera.

MARCH 2015 - PRESENT

Economics of Competing Energy Sources

Stanford University

APRIL 2013 - PRESENT

Certified Wireless Engineer

Duxbury

DECEMBER 2012 - PRESENT

Certified Energy Manager

Association of Energy Engineers

MAY 2011 - PRESENT

Oracle SQL

Oracle