| layout | default |
|---|---|
| title | Professional Experience |
TD Bank Group | **
- Managed end-to-end data lifecycle for cloud and migration projects on the Azure Platform (Databricks, PySpark, Python, SQL, Bash), spanning requirements gathering, development, SIT/PAT testing, production deployment, and post-production support.
- Developed and optimized robust ETL/ELT frameworks and reporting platforms in Azure to meet DaaS and enterprise data management goals, significantly improving data processing efficiency and enabling data-driven decision-making.
- Acted as a Subject Matter Expert (SME), providing technical leadership, conducting peer code reviews, adhering to best practices and architecture standards, and facilitating knowledge transfer through comprehensive documentation.
- Actively collaborated within Agile (SCRUM) environments to ensure project alignment and continuous delivery.
Frontier | **
- Drove ML innovation by designing and optimizing database schemas for predictive/prescriptive models, resulting in a 15% increase in model accuracy.
- Developed and supported robust batch and real-time data pipelines, applying QA and Data Mapping strategies to ensure data integrity, quality, and processing efficiency.
- Collaborated with stakeholders to deliver tailored data solutions and utilized Risk Assessment to identify and resolve data vulnerabilities.
CDC-CHAMPS | **
- Led development of data platforms using Hadoop, Hive, and Spark to centralize data collection for analytical research studies and used TensorFlow to build NLP/ML models.
- Implemented advanced ML algorithms in Python and SAS programming and utilized Data Mapping to enhance predictive capabilities using cloud data and MLOps implementation.
- Designed and developed innovative Tableau dashboards for data visualization and leveraged Data Mining expertise to drive business insights and inform decision-making.
OI Bank | **
- Applied advanced ML and statistical modeling to large datasets, solving critical business problems like customer churn and fraud detection.
- Mastered SQL and data science tools (Python/R) in AWS environment for EDA, NoSQL design, and uncovering trends that directly influenced pricing and marketing strategies.
- Optimized business processes and SQL Stored Procedures, data quality, and data preparation while ensuring Regulatory Compliance, boosting data processing efficiency by 20%.
- Deploying AI Microcredential | University of Toronto (Ongoing)
- Machine Learning Software Foundations Certificate | University of Toronto (On.)
- Big Data and Advanced Predictive Analysis | York University (2019)
- Research Fellow | University of Toronto (2018)
- MSc in Applied Statistics | Hawassa University (2012–2014)
- BSc in Applied Mathematics | Hawassa University (2008–2012)