Mo Karzand
Verified Expert in Engineering
Data Scientist and Machine Learning Developer
Mo is a senior data scientist specializing in machine learning and deep learning. He has worked for Accenture, Microsoft, and Optum, building machine learning-based systems and automation tools for healthcare, customer care, insurance, and media domains. With a PhD in computer science from EPFL in Switzerland and a bias for action, Mo has led small teams, and he works vigorously to earn and keep his clients' trust.
Portfolio
Experience
Availability
Preferred Environment
Python, Natural Language Processing (NLP), GPT, Generative Pre-trained Transformers (GPT), Computer Vision, Python 3, Deep Learning, Time Series Analysis, Machine Learning, Azure
The most amazing...
...tools I've built, such as disease progression models and image retrieval tools, improved the quality of folks' lives and reduced costs through automation.
Work Experience
Applied and Data Scientist
Microsoft
- Designed and built an image retrieval system based on a fine-tuned ResNet architecture.
- Mentored a team of five engineers and data scientists.
- Designed and built a reinforcement learning application to identify suitable content.
- Served as a senior data scientist in the content moderation team involved in designing and implementing AI and human review systems and workflows.
Senior Data Scientist
Optum
- Developed a disease progression model that predicts the onset of 10 chronic diseases. It was trained on health records of 90 million patients with appropriate use criteria (AUC) over 80%.
- Managed and trained a team of three data scientists.
- Selected as a finalist for the Data Scientist of the Year award in Ireland (2019).
Analytics Innovation Specialist
Accenture
- Built an automatic, multilingual query answering system that helped automate 50% of all correspondence with clients.
- Developed an asset in Python that helps explain the risk predicted from a machine learning model that was developed to assess the business risk involved in legal contracts.
- Built a deep learning model to estimate airline flight delays for small airlines, which improved on the state of the art by 20%.
Research Fellow
Trinity College Dublin and Maynooth University
- Designed low-latency methods to encode and transmit data over 5G networks.
- Supervised PhD and MSc students on topics related to privacy in communication networks.
- Designed and implemented a system in Java that outperformed MultiPath TCP from both delay and rate perspectives.
Research Fellow
Swiss Federal Institute of Technology in Lausanne (EPFL)
- Designed and built a capacity-achieving transmission scheme for relay communication channels based on polar codes.
- Conceived, designed, and developed an optimal compression technique.
- Oversaw and supervised MSc students in topics related to wireless communication, information theory, and coding.
Experience
Disease Progression Modeling Using Attention-based Deep Learning Models
Automatic Multilingual Query Answering System
Estimation of Airline Flight Delays Using Deep Learning Methods
Fake News Detection System
Custom Labeling of Images at Scale
Object Detection and Segmentation for Retail Industry
Entity Extraction and Linking from Unstructured and Image Data
News Personalization Using Deep FM
Skills
Languages
Python, SQL, R, GraphQL, JavaScript, Python 3
Libraries/APIs
Pandas, PySpark, NumPy, SciPy, Fast.ai, Spark ML, PyTorch, TensorFlow, Matplotlib, REST APIs, Amazon Rekognition
Tools
Amazon SageMaker, Jira, MATLAB, GitLab CI/CD, Azure Machine Learning, Named-entity Recognition (NER)
Paradigms
Data Science, ETL, Agile Software Development, RESTful Development
Platforms
AWS Lambda, Jupyter Notebook, Docker, Visual Studio Code (VS Code), Azure, Amazon Web Services (AWS), Apache Kafka, Google Cloud Platform (GCP)
Storage
MySQL, Amazon S3 (AWS S3), Redshift
Industry Expertise
Project Management
Other
Deep Learning, Time Series Analysis, Computer Vision, Natural Language Processing (NLP), Statistical Modeling, Probability Theory, Machine Learning, Information Theory, Artificial Intelligence (AI), Image Recognition, Artificial Neural Networks (ANN), Web Scraping, Microsoft Azure, Recommendation Systems, Custom BERT, Sequence Models, Decision Tree Regression, Linear Regression, Predictive Analytics, Data Analysis, Clustering, Data Cleaning, Regression Modeling, Visualization Tools, Predictive Modeling, Mathematical Analysis, Mathematical Modeling, Mathematics, Amazon Machine Learning, Data Analytics, Leadership, Object Detection, Search, Modeling, Forecasting, Neural Networks, GPT, Generative Pre-trained Transformers (GPT), Signal Processing, OCR, Document Processing, Big Data, Azure Data Lake, APIs, Data Visualization, Quantitative Modeling, Finance
Frameworks
Flask, Hadoop
Education
PhD in Computer Science
Swiss Federal Institute of Technology in Lausanne (EPFL) - Lausanne, Switzerland
Master's Degree in Wireless Communications
Swiss Federal Institute of Technology in Lausanne (EPFL) - Lausanne, Switzerland
Bachelor's Degree in Electrical Engineering
University of Tehran - Tehran, Iran
Certifications
Azure Data Scientist Associate
Microsoft
Azure AI Fundamentals
Microsoft
Azure Fundamentals
Microsoft
Azure AI Engineer Associate
Microsoft
Natural Language Processing
Microsoft
Cluster Analysis in Data Mining
University of Illinois at Urbana-Champaign | via Coursera
Pattern Discovery in Data Mining
University of Illinois at Urbana-Champaign | via Coursera
Text Retrieval and Search Engines
University of Illinois at Urbana-Champaign | via Coursera
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