Director
2020 - PRESENTMbaassist- 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 CloudMachine Learning Manager
2019 - 2020MultiChoice- 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, ChatbotsChief Data Scientist | Founder
2018 - 2019Futuresgroup 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, CTOConsultant
2017 - 2018Control 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, LeadershipIT Consultant
2007 - 2017EOH 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