- Python
- Azure
- SQL
- Communication
- Leadership
- Angular
- Node.Js
- AWS
- Ci/Cd
- Stakeholder Management
- React
- Data Analysis
- Machine Learning
- Deep Learning
- Data Engineering
- Designed and deployed recommendation engine serving 2M+ monthly users, increasing click-through rate by 15%.
- Optimised Azure data pipeline to reduce feature extraction latency from 90 minutes to 20 minutes.
- Implemented model monitoring and retraining framework, improving accuracy drift alerts and reducing manual intervention.
- Collaborated with product teams to define AI roadmap, resulting in three new data-driven features launched quarterly.
- Mentored junior data scientists on best practices for model validation and MLOps tooling.
- Python
- Azure
- SQL
- Communication
- Leadership
- Angular
- Node.Js
- AWS
- Ci/Cd
- Stakeholder Management
- React
- Data Analysis
- Machine Learning
- Deep Learning
- Data Engineering
- Designed and deployed recommendation engine serving 2M+ monthly users, increasing click-through rate by 15%.
- Optimised Azure data pipeline to reduce feature extraction latency from 90 minutes to 20 minutes.
- Implemented model monitoring and retraining framework, improving accuracy drift alerts and reducing manual intervention.
- Collaborated with product teams to define AI roadmap, resulting in three new data-driven features launched quarterly.
- Mentored junior data scientists on best practices for model validation and MLOps tooling.
- Python
- Azure
- SQL
- Communication
- Leadership
- Angular
- Node.Js
- AWS
- Ci/Cd
- Stakeholder Management
- React
- Data Analysis
- Machine Learning
- Deep Learning
- Data Engineering
- Designed and deployed recommendation engine serving 2M+ monthly users, increasing click-through rate by 15%.
- Optimised Azure data pipeline to reduce feature extraction latency from 90 minutes to 20 minutes.
- Implemented model monitoring and retraining framework, improving accuracy drift alerts and reducing manual intervention.
- Collaborated with product teams to define AI roadmap, resulting in three new data-driven features launched quarterly.
- Mentored junior data scientists on best practices for model validation and MLOps tooling.
- Python
- Azure
- SQL
- Communication
- Leadership
- Angular
- Node.Js
- AWS
- Ci/Cd
- Stakeholder Management
- React
- Data Analysis
- Machine Learning
- Deep Learning
- Data Engineering
- Designed and deployed recommendation engine serving 2M+ monthly users, increasing click-through rate by 15%.
- Optimised Azure data pipeline to reduce feature extraction latency from 90 minutes to 20 minutes.
- Implemented model monitoring and retraining framework, improving accuracy drift alerts and reducing manual intervention.
- Collaborated with product teams to define AI roadmap, resulting in three new data-driven features launched quarterly.
- Mentored junior data scientists on best practices for model validation and MLOps tooling.
- Python
- Azure
- SQL
- Communication
- Leadership
- Angular
- Node.Js
- AWS
- Ci/Cd
- Stakeholder Management
- React
- Data Analysis
- Machine Learning
- Deep Learning
- Data Engineering
- Designed and deployed recommendation engine serving 2M+ monthly users, increasing click-through rate by 15%.
- Optimised Azure data pipeline to reduce feature extraction latency from 90 minutes to 20 minutes.
- Implemented model monitoring and retraining framework, improving accuracy drift alerts and reducing manual intervention.
- Collaborated with product teams to define AI roadmap, resulting in three new data-driven features launched quarterly.
- Mentored junior data scientists on best practices for model validation and MLOps tooling.
- Python
- Azure
- SQL
- Communication
- Leadership
- Angular
- Node.Js
- AWS
- Ci/Cd
- Stakeholder Management
- React
- Data Analysis
- Machine Learning
- Deep Learning
- Data Engineering
- Designed and deployed recommendation engine serving 2M+ monthly users, increasing click-through rate by 15%.
- Optimised Azure data pipeline to reduce feature extraction latency from 90 minutes to 20 minutes.
- Implemented model monitoring and retraining framework, improving accuracy drift alerts and reducing manual intervention.
- Collaborated with product teams to define AI roadmap, resulting in three new data-driven features launched quarterly.
- Mentored junior data scientists on best practices for model validation and MLOps tooling.
- Python
- Azure
- SQL
- Communication
- Leadership
- Angular
- Node.Js
- AWS
- Ci/Cd
- Stakeholder Management
- React
- Data Analysis
- Machine Learning
- Deep Learning
- Data Engineering
- Designed and deployed recommendation engine serving 2M+ monthly users, increasing click-through rate by 15%.
- Optimised Azure data pipeline to reduce feature extraction latency from 90 minutes to 20 minutes.
- Implemented model monitoring and retraining framework, improving accuracy drift alerts and reducing manual intervention.
- Collaborated with product teams to define AI roadmap, resulting in three new data-driven features launched quarterly.
- Mentored junior data scientists on best practices for model validation and MLOps tooling.
- Python
- Azure
- SQL
- Communication
- Leadership
- Angular
- Node.Js
- AWS
- Ci/Cd
- Stakeholder Management
- React
- Data Analysis
- Machine Learning
- Deep Learning
- Data Engineering
- Designed and deployed recommendation engine serving 2M+ monthly users, increasing click-through rate by 15%.
- Optimised Azure data pipeline to reduce feature extraction latency from 90 minutes to 20 minutes.
- Implemented model monitoring and retraining framework, improving accuracy drift alerts and reducing manual intervention.
- Collaborated with product teams to define AI roadmap, resulting in three new data-driven features launched quarterly.
- Mentored junior data scientists on best practices for model validation and MLOps tooling.
- Python
- Azure
- SQL
- Communication
- Leadership
- Angular
- Node.Js
- AWS
- Ci/Cd
- Stakeholder Management
- React
- Data Analysis
- Machine Learning
- Deep Learning
- Data Engineering
- Designed and deployed recommendation engine serving 2M+ monthly users, increasing click-through rate by 15%.
- Optimised Azure data pipeline to reduce feature extraction latency from 90 minutes to 20 minutes.
- Implemented model monitoring and retraining framework, improving accuracy drift alerts and reducing manual intervention.
- Collaborated with product teams to define AI roadmap, resulting in three new data-driven features launched quarterly.
- Mentored junior data scientists on best practices for model validation and MLOps tooling.
- Python
- Azure
- SQL
- Communication
- Leadership
- Angular
- Node.Js
- AWS
- Ci/Cd
- Stakeholder Management
- React
- Data Analysis
- Machine Learning
- Deep Learning
- Data Engineering
- Designed and deployed recommendation engine serving 2M+ monthly users, increasing click-through rate by 15%.
- Optimised Azure data pipeline to reduce feature extraction latency from 90 minutes to 20 minutes.
- Implemented model monitoring and retraining framework, improving accuracy drift alerts and reducing manual intervention.
- Collaborated with product teams to define AI roadmap, resulting in three new data-driven features launched quarterly.
- Mentored junior data scientists on best practices for model validation and MLOps tooling.
- Python
- Azure
- SQL
- Communication
- Leadership
- Angular
- Node.Js
- AWS
- Ci/Cd
- Stakeholder Management
- React
- Data Analysis
- Machine Learning
- Deep Learning
- Data Engineering
- Designed and deployed recommendation engine serving 2M+ monthly users, increasing click-through rate by 15%.
- Optimised Azure data pipeline to reduce feature extraction latency from 90 minutes to 20 minutes.
- Implemented model monitoring and retraining framework, improving accuracy drift alerts and reducing manual intervention.
- Collaborated with product teams to define AI roadmap, resulting in three new data-driven features launched quarterly.
- Mentored junior data scientists on best practices for model validation and MLOps tooling.
