About
Results-driven Data Scientist and MLOps professional with an MSc in Data Science and Analytics, specializing in predictive modeling, advanced analytics, and robust data pipeline development. Expert in leveraging Python, SQL, TensorFlow, and cloud platforms like Google Cloud (GCP) to deliver high-impact AI and data solutions. Proven ability to enhance data visibility by 40%, reduce reporting times by 30%, and deploy scalable machine learning models and automated cloud infrastructure, bridging data science innovation with production-ready engineering.
Work
London, England, UK
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Summary
Leveraged expertise in data science and cloud technologies to enhance data visibility, automate reporting, and deploy machine learning models for proactive business insights.
Highlights
Improved data visibility by 40% across diverse datasets through the development and implementation of consolidated Power BI dashboards.
Reduced recurring reporting workflow time by 30% by automating processes using Python, enhancing operational efficiency.
Deployed churn analysis and forecasting models into production scripts, enabling proactive retention planning and strategic decision-making.
Increased dataset preparation efficiency by developing robust ETL pipelines with Pandas and NumPy for data import, cleaning, and feature engineering.
London, England, UK
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Summary
Designed and optimized system features, streamlined deployment, and developed automation tools, contributing to enhanced application performance and user engagement.
Highlights
Increased HRMS engagement by 20% and reduced response times by 15% through strategic system feature design and optimization.
Cut build times by 27% by enhancing GitLab CI/CD pipelines and streamlining deployment processes, improving development lifecycle efficiency.
Improved MySQL query response times by 10% through targeted database query optimization for backend performance.
Increased forecasting accuracy by 20% by executing a machine learning project focused on market trend prediction.
Expanded application functionality and reduced manual effort by developing C#/.NET automation tools and integrating third-party Python APIs.
Languages
English
Skills
Programming
Python, C++, C, C#, JavaScript, Shell Scripting, HTML/CSS.
Cloud Platforms
Google Cloud Platform (GCP), App Engine, BigQuery, Compute Engine, Cloud Functions, Cloud Storage, VPC.
Infrastructure & Automation
Terraform, Docker, Linux, Git, GitHub, GitLab, GitLab CI/CD.
Data & Analytics
SQL, Pandas, NumPy, Scikit-Learn, TensorFlow, PyTorch, ETL, Data Pipelines, Power BI, Microsoft Excel.
Other Tools
FastAPI, Uvicorn, Pydantic, Apache Airflow, Apache Spark.