Oskar Teder
Development
Harju County, Estonia
Skills
Data Analysis
About
Oskar Teder's skills align with Database Specialists (Information and Communication Technology). Oskar also has skills associated with Programmers (Information and Communication Technology). Oskar Teder has 8 years of work experience.
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Work Experience
Senior Machine Learning Developer
Neurons
June 2018 - September 2020
- Image Classification Models: Developed image classification models using PyTorch and Keras for medical imaging. Video Analysis: Implemented video classification and object detection algorithms using OpenCV and TensorFlow. Medical Imaging Analysis: Built convolutional neural networks (CNNs) for analyzing MRI and X-ray images. Image Segmentation: Created image segmentation models using U-Net architectures for precise object identification. Cloud Infrastructure Setup: Set up end-to-end machine learning pipelines on Azure for processing medical data. Model Interpretability: Used SHAP and LIME for model interpretability and explaining model predictions. Data Augmentation: Applied advanced data augmentation techniques to enhance model robustness. Continuous Integration: Established CI/CD pipelines for ML models using Jenkins and GitHub Actions. Research and Development: Led R&D projects focused on innovative applications of machine learning in healthcare.
Data Scientist
Digital Krikits
September 2017 - April 2018
- Text Classification Models: Developed text classification models for sentiment analysis using TensorFlow and Keras. NLP Pipeline Development: Built comprehensive NLP pipelines for text preprocessing, tokenization, and entity recognition using spaCy. Chatbot Development: Created a chatbot for customer service automation, incorporating natural language understanding with Rasa. Big Data Processing: Utilized Apache Spark with PySpark for large-scale data processing and analysis. Customer Feedback Analysis: Implemented sentiment analysis on customer feedback to provide actionable insights to the product team. Speech-to-Text Conversion: Developed a speech-to-text application using DeepSpeech and TensorFlow. A/B Testing: Conducted A/B tests to measure the effectiveness of different machine learning models. Model Optimization: Applied optimization techniques to reduce model latency and improve response times. Real-Time Analytics: Set up real-time analytics platforms using Kafka and Spark Streaming for customer interaction data.
Data Scientist
Ciklum
February 2016 - May 2017
- Developed Predictive Financial Models: Created robust predictive models for financial forecasting and risk assessment using Scikit-learn and XGBoost. Time Series Analysis: Applied statsmodels for advanced time series analysis to predict stock prices and market trends. Data Pipeline Automation: Automated data ingestion and preprocessing pipelines using Pandas and Airflow. Improved Model Accuracy: Conducted hyperparameter tuning and feature engineering to enhance model performance. Deployed Models as APIs: Utilized Flask to deploy machine learning models as RESTful APIs for financial applications. Implemented Data Visualization Dashboards: Created interactive financial dashboards using Plotly. Data Integration and Storage: Integrated models with MongoDB for efficient data storage and retrieval. Customer Segmentation: Developed customer segmentation models using clustering algorithms in Scikit-learn. Fraud Detection: Implemented machine learning algorithms to detect fraudulent transactions.
Senior Machine Learning Engineer
Sophos
November 2020 - Present
- Advanced Financial Models: Enhanced predictive financial models using CatBoost and LightGBM for better accuracy in risk assessment. Real-Time Data Processing: Implemented real-time data processing workflows using Apache Kafka and Spark Streaming. Sentiment Analysis: Built sentiment analysis models for social media data using R and Python, integrating them into existing systems. Cross-Platform Deployment: Ensured seamless deployment of ML models across various cloud platforms (AWS, GCP, Azure). Model Monitoring: Set up monitoring and logging for ML models in production using Prometheus and Grafana. Interactive Data Visualizations: Developed interactive visualizations for financial data insights using Dash and Plotly. Collaborative Research Projects: Collaborated with cross-functional teams on research projects, utilizing advanced ML techniques and tools. Scalable ML Solutions: Designed scalable ML solutions on AWS, including EC2, S3, and Lambda functions. Enhanced Chatbot Features: Improved existing chatbot functionalities with advanced NLP techniques and dialogue management.
Education
