Kasra Azizbaigi Email and Phone Number
Experienced Data Scientist (4+ years) | Machine Learning | Python | SQL | AWS• 4+ years of experience developing and deploying ML models using MLOps best practices, resulting in successful production implementations• Proficient in Python, adept at SQL database management, experienced with AWS cloud services, and skilled in Docker, Git, etc.• Demonstrated expertise in handling large‑scale real‑world datasets, spanning image, tabular, and textual data, to deliver actionable insights• Managed and led cross‑functional teams in developing and deploying deep learning models, promoting interdisciplinary collaborationTechnical Skills:- Programming Languages: Python (expert), SQL (expert), R (proficient), C++ (prior experience)- Frameworks: TensorFlow, PyTorch, scikit‑learn, Keras, Pandas, Matplotlib, NumPy, Open‑CV, unittest, requests, logging- Systems and Technologies: Linux, Docker, Git, DVC, CML, PostgreSQL, MongoDB, Hadoop, Spark, Airflow, Kafka- Environments: AWS (EC2, SageMaker, S3, Step Functions, Lambda, etc.), GitLab (CI\CD pipelines), GitHub (Actions)- Machine Learning: Classification, Regression, Clustring, Recommendation Systems, Anomaly Detection, PCA- Deep Learning: Computer Vision (Classification, Object Detection, Segmentation), NLP (RNN, Transformers)
Geotab
View- Website:
- geotab.com
- Employees:
- 1241
-
Senior Data ScientistGeotab Dec 2023 - PresentToronto, Ontario, Canada -
Data ScientistGsts - Global Spatial Technology Solutions Feb 2021 - Nov 2023Toronto, Ontario, Canada• Designed, developed and deployed three new AI models into OCIANA™ by leveraging ML and statistical techniques, allowing for analysis and interpretation of large‑scale maritime data, identification of risks and anomalies and creation of a patent• Reduced cloud operational costs by 12% and enhanced model deployment efficiency by implementing MLOps best principles and practices• Fostered professional partnerships by collaborating with esteemed organizations like the Canadian Space… Show more • Designed, developed and deployed three new AI models into OCIANA™ by leveraging ML and statistical techniques, allowing for analysis and interpretation of large‑scale maritime data, identification of risks and anomalies and creation of a patent• Reduced cloud operational costs by 12% and enhanced model deployment efficiency by implementing MLOps best principles and practices• Fostered professional partnerships by collaborating with esteemed organizations like the Canadian Space Agency, Capella and DFO, increasing funding opportunities and continuous projects for the company Show less -
Research AssistantRobarts Research Institute Jan 2020 - Dec 2020London, Ontario, Canada• Collaborated with data scientists & engineers to develop deep learning models tailored for computer vision applications in medical imaging• Generated scientific reports and presentations, offering crucial insights to non‑technical stakeholders, promoting AI in medical imaging -
Assistant EngineerAdan Ab Mehr May 2018 - Aug 2019Tehran, Iran• Contributed as a trusted member within a team of engineers, resolving challenging projects such as the building of an IoT smart irrigation system while meeting customers’ expectations• Developed the ability to multitask while managing individual tasks but also within a team environment• Assisted in preparing short programs of portions of more complex programs in accordance with flow charts and specific instructions such as writing classes to enable the receipt of client messages to… Show more • Contributed as a trusted member within a team of engineers, resolving challenging projects such as the building of an IoT smart irrigation system while meeting customers’ expectations• Developed the ability to multitask while managing individual tasks but also within a team environment• Assisted in preparing short programs of portions of more complex programs in accordance with flow charts and specific instructions such as writing classes to enable the receipt of client messages to sensors in Python• Prepared flow charts and other documentation of detailed implementation steps while maintaining composure as a functioning part of a fast‑paced agile team• Conducted test runs of codes and worked on emitting log messages using unittest and logging frameworks Show less
-
Teaching AssistantK. N. Toosi University Of Technology Jan 2018 - Apr 2019Tehran, IranCourse: Introduction to Python Programming Language• Explained coding concepts and course objectives in organized weekly tutorials for groups of 36 students• Facilitated group discussions, and addressed students’ learning needs and coding problems during arranged office hours• Invigilated and graded exams and final projects• Communicated between students and instructor by providing feedback to innovate and improve course content for future years
Kasra Azizbaigi Education Details
-
89.75% -
K. N. Toosi University Of Technology3.73/4
Frequently Asked Questions about Kasra Azizbaigi
What company does Kasra Azizbaigi work for?
Kasra Azizbaigi works for Geotab
What is Kasra Azizbaigi's role at the current company?
Kasra Azizbaigi's current role is Senior Data Scientist at Geotab.
What schools did Kasra Azizbaigi attend?
Kasra Azizbaigi attended Western University, K. N. Toosi University Of Technology.
Who are Kasra Azizbaigi's colleagues?
Kasra Azizbaigi's colleagues are Alex D'amico, Andrew Ramsey, Xinrong(Cecilia) Zhou, Brad Legge, Curtis Prince, Lorain Fortuno, Nicole Moreno.
Free Chrome Extension
Find emails, phones & company data instantly
Aero Online
Your AI prospecting assistant
Select data to include:
0 records × $0.02 per record
Download 750 million emails and 100 million phone numbers
Access emails and phone numbers of over 750 million business users. Instantly download verified profiles using 20+ filters, including location, job title, company, function, and industry.
Start your free trial