RHCE || Aspiring MLOps-DevOps Engineer || Open to Work || MLOPS 🧠 || DEVOPS 🐳☸👩🏻🍳🦊 || HYBRID ☁️ || Terraform || Ansible || ML || DL || GitLab || Jenkins
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
freelance_projects
December 24, 2021 – July 14, 2024
freelance_projects — GitHub repository
View ProjectCanary-Deployment-Using-Istio-on-EKS-Cluster-Istio-Kiali-Grafana
December 2, 2021 – December 2, 2021
Canary-Deployment-Using-Istio-on-EKS-Cluster-Istio-Kiali-Grafana — GitHub repository
View ProjectKubernetes-Series
November 7, 2021 – November 10, 2021
Kubernetes-Series — GitHub repository
View ProjectBrain_Tumor_Detection_MLops_and_Hybrid_Multi_Cloud
June 23, 2021 – June 28, 2021
Brain_Tumor_Detection_MLops_and_Hybrid_Multi_Cloud — GitHub repository
View ProjectHeart_Diseases_Prediction_App_Creation_Using_MLOps_Tools
May 4, 2021 – April 10, 2022
Medium Link
View ProjectLaunching-A-WordPress-Application-With-MYSQL-Database-in-K8S-Cluster-On-AWS-Using-Ansible-
February 8, 2021 – February 14, 2021
You can visit the article to check the detailed explanation below 👇👇
View ProjectK8S-Cluster-On-AWS
February 4, 2021 – April 26, 2021
K8S-Cluster-On-AWS — GitHub repository
View ProjectCOVID-19-image-segmentation-on-chest-Xray-Using-MASK-RCNN.
September 11, 2020 – April 5, 2021
COVID-19-image-segmentation-on-chest-Xray-Using-MASK-RCNN. — GitHub repository
View ProjectCultural Fit Analysis
The candidate's projects show a strong inclination towards MLOps, Kubernetes, and cloud infrastructure, which aligns with a data scientist role that involves deploying and managing models. However, the projects lack explicit data science methodology (e.g., feature engineering, model evaluation metrics, statistical analysis) which is crucial for a core Data Scientist role. The diversity of projects indicates a proactive learning attitude.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's project descriptions are brief, limiting insight into collaboration or problem-solving approaches.