Anas S.
Mid-Level Data Scientist
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Anas S. is a seasoned Data Scientist & Cloud Engineer with over 2 years of professional experience in data science, artificial intelligence, machine learning, cloud infrastructure, and IT consulting. He is adept at designing and deploying scalable solutions using GCP, Microsoft Azure, Terraform, and CI/CD pipelines, having demonstrated his expertise across various stages of the software development lifecycle. Anas has played pivotal roles in diverse projects, such as implementing CI/CD pipelines for ASP.NET Core applications and leading cloud solution deployments aligned with business goals at both ÅHLENS in Stockholm and Health & Population Department in Lahore. His prowess in optimizing infrastructure for AI and ML workloads has significantly enhanced deployment efficiency, while his commitment to continuous learning keeps him at the forefront of emerging technologies. Anas holds a Master's degree in Data Science with a specialization in Data Engineering from Uppsala University, further enriching his technical acumen and leadership abilities. His contributions to projects like real-time object detection using LiDAR and gender equality initiatives in machine learning highlight his strong technical foundation and problem-solving capabilities.
Experience
DevOps Consultant
Health & Population Department · 2025 — PresentDesigned, implemented, and maintained CI/CD pipelines using GitHub Actions for automated build and deployment of ASP.NET Core applications. Managed SQL Server databases, overseeing their configuration, monitoring, and deployment support. Deployed applications on Microsoft IIS within Development and Staging environments, ensuring high availability. Maintained GitHub organization and repositories for multiple development teams while implementing infrastructure monitoring with Grafana.Cloud Engineer
ÅHLENS · 2024 — 2024Led the deployment of Azure Landing Zones and was involved in the development of cloud solutions, ensuring high-quality production-grade code. Worked with machine learning engineers to enhance infrastructure for AI and ML workloads. Developed Infrastructure as Code (IaC) solutions using Terraform to improve deployment efficiency. Managed CI/CD pipelines with Jenkins while integrating Datadog for monitoring and alerting.Cloud Intern
ÅHLENS · 2024 — 2024Aided in the deployment of Azure Landing Zone, managing cloud infrastructure using Terraform for efficient resource use and scalability. Gained expertise in cloud technologies like Azure and Terraform for Infrastructure as Code (IaC).Data Scientist
Fiverr (Freelance) · 2022 — PresentEngaged with clients to discern their data needs. Employed Scikit-Learn, TensorFlow, and PyTorch to develop predictive analytics models, enhancing operational efficiency. Conducted data exploration and visualization utilizing Python, Pandas, Matplotlib, Seaborn, Tableau, and Power BI. Streamlined workflows through automation using Jenkins and GitHub Actions.Data Scientist
Call2Phone · 2021 — 2022Collaborated with teams to define business requirements and performed exploratory data analysis, addressing data challenges effectively. Utilized data visualization techniques such as Tableau and Power BI to present insights to stakeholders, facilitating faster decision-making. Designed ETL pipelines with Google Cloud Platform (GCP) services and automated data processing workflows with Jenkins.
Skills & Expertise
Education
- MS Data Science With Specialization in Data EngineeringUppsala University · 2022 — 2024
- BS Computer ScienceUniversity of Management and Technology · 2015 — 2020