My journey in data science started with my interest in machine learning. After doing some courses like the one from Andrew NG, I started switching my career path to Data Science. My role at Axxonet solutions taught me more about data and how different industries are using them. I learned concepts like Data warehousing and BI tools and was actively involved in maintaining data pipelines and building Dashboards. I understood the current industry trends and was fortunate enough to work on multiple databases and BI tools under some of the veterans in data science.

During the Pandemic, I worked as a DevOps Engineer for an organization with their infrastructure in AWS and GCP. I learned concepts like Kubernetes, CI-CD pipelines, Concourse, Grafana, and multiple test cases for software deployment, maintenance, and code integrity. I experimented with numerous solutions for the same. I was surprised by how Kubernetes simplifies things and saves cost on infrastructure.

Some of my Skills & Certifications :

Analysis Tools: Pentaho, Pyramid Analytics, Tableau, Kibana (ELK), MS Excel, Google Analytics
Programming: Python, R, SQL
Operating Systems: Windows, Unix, Container Optimized OS (COS)
Software: Kubernetes, Concourse, Pentaho Data Integration, Terraform, Selenium, Locust, Grafana
Databases: PostgreSQL, MySQL, Druid, MongoDB
Cloud Computing: AWS, GCP
Certifications: Certified Data Scientist (IABAC), Data science foundation (IABAC), Big data engineering (Jigsaw Academy), Tableau Essentials (Linkedin Learning), Intermediate R (DataCamp)

I hope to utilize these experiences to help organizations get the most of their data and efficiently maintain their infrastructure. Allowing shorter deployment and testing times and higher turnaround, all while saving cost.