Mahdi Seyednezhad
Verified Expert in Engineering
Data Scientist and Software Developer
Dr. Mahdi Seyednezhad is a proven leader in data science and AI with 20+ years in tech. Specializing in AI and data science for 12 years, he's known for designing cutting-edge systems like Azure health monitoring systems. An effective team leader, he's led AI projects across multiple industries. Mahdi is also an active academic with numerous publications in AI and machine learning. Trust Dr. Seyednezhad to elevate your business with his innovative approach and robust technical expertise.
Portfolio
Experience
Availability
Preferred Environment
Jupyter, Python, Azure, PostgreSQL, Apache Hive, Spark, Scala, Dataiku, Amazon SageMaker, Azure OpenAI Service
The most amazing...
...thing I've done in AI: I made a generative model ahead of time and built an automated device monitoring system at Alstom with text mining and knowledge graphs.
Work Experience
Senior Mainstream Analyst
AbbVie
- Designed a private large language model (LLM) for the first time for a client.
- Redesigned MLOps and a data pipeline to be used in Dataiku.
- Designed a knowledge graph framework for drug characterization.
- Collaborated with biology scientists and researchers to validate and apply their solutions in the enterprise pipeline.
Director of Data Science
XEN.AI
- Designed an IoT pipeline on Azure for sensor monitoring.
- Created a patient monitoring system on Azure using Azure Health Services and the FHIR API.
- Created a production-level Python package for cryptocurrency price forecasting.
- Designed a production-level Python package for top cryptocurrency monitoring.
- Created a machine learning system using Azure AutoML to improve business asset management.
Principal Data Scientist
Korn Ferry
- Created a graph-based system for career path recommendation and prediction.
- Improved the graph (network) creation using Spark on big data.
- Created solutions for performance and accuracy evaluation.
- Created a graph-based career predictive Python package from scratch to the production level.
- Applied causal inference to improve Salesforce performance.
Data Scientist
Epsilon
- Improved an advertisement recommendation algorithm on big data for 2-5% in average for all campaigns.
- Created a system for Smart TV advertisement optimization to expand the reach over the audiences.
- Created a Causal Inference framework on big data using Scala and Spark.
- Analyze algorithm performance and efficiency using Python and Pyspark.
Data Scientist
Alstom
- Designed an intelligent system that could help operators generate a summary of PTC (positive train control) incidents.
- Wrote a conference paper about crossing failure prediction.
- Designed a framework for root cause analyses using a complex network (patent pending).
- Established a project that constantly monitors crossings for failure prediction (patent pending).
Research Assistant
Florida Institute of Technology
- Used the Twitter API to collect tweets and characterized the feelings of Twitter users with network science, statistical models, and clustering techniques.
- Uncovered evidence that emojis can reflect cultural differences.
- Designed a recommendation system for the businesses on Yelp databases and a prototype web page called Yelp Business Recommendation.
- Developed an intelligent iOS app back end to record and classify the sound of different frogs using deep learning.
Experience
Yelp Recommendation System
https://biocomplex.github.io/REU2018-T3/Skills
Languages
Python, C, C++, Java, SQL, Scala
Libraries/APIs
Twitter API, NetworkX, PySpark, Azure API Management
Other
Neural Networks, Text Mining, Deep Learning, Natural Language Processing (NLP), Recommendation Systems, Machine Learning, GPT, Generative Pre-trained Transformers (GPT), Causal Inference, Cloud, Big Data, Prediction Markets, A/B Testing, Database Analytics, Research, Time Series, Forecasting, Predictive Modeling, Containers, Containerization, CI/CD Pipelines, Azure Databricks, Graphs, Network Science, BERT, Artificial Intelligence (AI), Sales, Software Design, Software Development, Software Deployment, Systems Analysis, Performance Enhancement, Azure SaaS, Healthcare Services, Trading, Cryptocurrency, Cryptocurrency APIs, Amazon Bedrock, Language Models, Machine Learning Operations (MLOps), QA Automation
Frameworks
Spark, WebApp
Tools
Jupyter, Jira, Bitbucket, Confluence, Hidden Markov Model, Azure IoT Suite, AWS IAM, Amazon SageMaker, Azure OpenAI Service
Paradigms
Agile, Scrum, Testing, Software Testing, Automation
Platforms
Azure, Twitter, Linux, Apache Kafka, Databricks, Azure PaaS, Azure Event Hubs, Dataiku
Storage
MongoDB, Neo4j, ArangoDB, InfluxDB, Azure Blobs, PostgreSQL, Apache Hive
Education
PhD Degree in Computer Science
Florida Institute of Technology - Melbourne, FL, US
Master's Degree in Computer Engineering
Qazvin Azad University - Qazvin, Iran
Bachelor's Degree in Computer Engineering
Iran University of Science and Technology - Tehran, Iran
Certifications
MLOps with Dataiku
Dataiku
Teaching Assistantship
Florida Institute of Technology
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