Gal Moore

MSc CS (תואר שני מדמ"ח) Data Scientist with 5 years experience NLP, CV and tabular

Tel Aviv-Yafo, Israel

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ABOUT

Shalom,

I'm Gal Moore and I live in Tel Aviv, Israel. I'm a Data Scientist and Machine Learning Engineer with extensive experience working with all size companies and multiple industries (healthcare, finance, robotics). Dual English/Hebrew Native Speaker having lived half my life in Israel and half abroad. Proficient in NLP, Computer Vision and Tabular data.

- ML architecture: designing solutions and infrastructure
- Technologies: Jupyter, Linux, SQL, Airflow, AWS
- Tabular data: XGBoost, Catboost, LGBM, Ensembling, Anomaly Detection
- Computer Vision: Convolutional Techniques (Segmentation & Detection)
- NLP: Transformers (BERT, GPT), LSTM, NLTK, Spacy, Embeddings
- Python libraries: NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch, OpenCV, Pyspark
- Supervised learning: implementing classification, regression, and recommender systems
- Unsupervised learning methods: clustering, reducing dimensionality, and factorization
- Reinforcement learning (managing multi-armed bandit scenarios, q-learning, and deep RL)
- Hands-on experience in optimisation of deep neural networks

BA Business Management, London Metropolitan University
MSc Computer Science, University College London
Data Science, Y Data

LANGUAGES

English

Native or bilingual proficiency

Hebrew

Native or bilingual proficiency

SKILL DETAILS

Engineering

150 ₪ / hr

Software Engineering

Built fully automatic deep neural network optimisation solutions and end to end products at previous employees (see cv)

Computer Engineering

Built fully automatic deep neural network optimisation solutions and end to end products at previous employees (see cv)

Technology

150 ₪ / hr

Amazon S3 - Simple Storage Service

Use and setup of S3 for multiple projects - see CV

Knowledge Management

Demonstrated through database expertise and extensive data projects (see CV)

Informatics

Demonstrated through database expertise and extensive data projects (see CV)

Internet of Things / IoT

Worked on IoT-related robotics projects at Cogniteam including Autonomous vehicles, radar, Lidar, camera and IMU based. https://youtu.be/pxpq5a0irYo

AI, Artificial Intelligence

Developed End to End AI solutions in healthcare, robotics, telecoms and finance - see CV

Chatbot

Created a chatbot using ROS, Linux and muiltiple sensors for an Intel project https://youtu.be/n81bAgLAbtg

Robotics

Worked on autonomous systems and IoT-related robotics for MAFAT, Intel and others at Cogniteam https://www.youtube.com/watch?v=CkXNGR9ayZk

Machine Learning

Extensive experience, notably as a ML engineer and data scienist at Thetaray, Healthy.io, Huawei and Cogniteam (See CV)

Image Processing

Specialized in deep neural network based convolutional techniques (segmentation & detection), dataset development, training and fine tuning models and use of OpenCV.

Computer Vision

Specialized in deep neural network based convolutional techniques (segmentation & detection), dataset development, training and fine tuning models and use of OpenCV.

Neural Networks

Deep neural network architecture experience at Healthy.io and Cogniteam with extensive experience analysing, modifying and optimizing deep convolutional networks at Huawei

Speech, Voice Recognition

Created a chatbot using ROS, Linux and muiltiple sensors for an Intel project https://youtu.be/n81bAgLAbtg

Deep Learning

Deep neural network architecture experience at Healthy.io and Cogniteam with extensive experience analysing, modifying and optimizing deep convolutional networks at Huawei - see CV

Autonomous Vehicle Technology

Worked on autonomous systems and IoT-related robotics for MAFAT, Intel and others at Cogniteam

Google Cloud Platform

Built end to end image segmentation and detection solution based on neural networks in a GCP environment

Natural Language Processing (NLP)

Experience with Regex, NLTK, Gensim, Huggingface in transformers (BERT, GPT), LSTM, and embeddings for use in classification, summarization, POS tagging etc..