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Email verificeret.
mississauga,
canada
Det er i øjeblikket 5:39 AM her
Tilmeldt februar 8, 2014
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Irtiza K.
@irtizak
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mississauga,
canada
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Genansættelsesrate
Data Scientist & Advanced Analytics Professional
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Erfaring
Data Science Mentor
jul. 2021 - Nuværende
Providing mentorship and guidance to student groups for Postgraduate Program in Data Science and Business Analytics by University of Texas.
- Conducting live weekly mentoring sessions for student groups upto 15 learners.
- Review study material, conduct coding labs and address student queries.
Data Scientist
mar. 2021 - jul. 2021 (4 måneder, 1 dag)
Developed data science solutions for Canada’s largest logistics and supply chain company to improve planning and operations.
- Improved train arrival prediction model using reducing avg. estimation error by 2 hours.
- Analyzed track geometry and profile to identify deterioration factors, recommended locations to install maintenance hardware.
Tools: Databricks, Azure DevOps, mlflow, Git, Azure Data Factory, SQL, Netezza
Algorithms: XGBoost, scikit-optimize
Data Scientist
nov. 2019 - mar. 2021 (1 år, 4 måneder)
- Built predictive model to forecast inbound roadside assistance call volume, reducing daily average forecast variance by 100 calls.
- Developed churn prediction and membership renewal models to improve renewal rate estimations.
- Utilized R/Python APIs to capture historical weather data and forecasts.
Tools: Python, SQL Server, PowerBI
Algorithms: Random Forest, Gradient Boosting, XGBoost, SARIMAX, Prophet, PCA, K-Means, Hierarchal Clustering
Uddannelse
M.Sc. International Banking and Finance
(2 år)
B.Sc. (Hons.) Business Information Systems with IT
(2 år)
Kvalifikationer
OpenHack: DevOps for Data Science
Microsoft
2021
Earners of the OpenHack: DevOps for Data Science badge employ advanced DevOps practices for the Data Science process, leveraging Azure Machine Learning Service, Azure DevOps, and other relevant Azure services. They have demonstrated the ability to deploy a technical solution that automatically trains, evaluates, registers, and deploys a model, connects fundamental DevOps practices for Data Ops for ML used to train the model, including implementation observability aspects for the system.
AWS Machine Learning Specialty
Amazon Web Services (AWS)
2020
Earners of this certification have an in-depth understanding of AWS machine learning (ML) services. They demonstrated ability to build, train, tune, and deploy ML models using the AWS Cloud. Badge owners can derive insight from AWS ML services using either pre-trained models or custom models built from open-source frameworks.
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