Product Analytics – Creating and testing in-app events for product features with the aim of analyzing and improving the User Experience on the app.Worked closely with the Growth team to analyze the ongoing marketing campaigns to optimize ROI.Migrated data from analytical tools to BigQuery (GCP) to build dashboards for various product funnels and metrics.Built Automation ETL pipelines & scripts to fulfill data requirements from internal stakeholders.

Developed a real-time inventory visualization dashboard using Django (Python) to track public and private cloud instances of the company, resembling RedHat OpenStack platform.Implemented Infrastructure as a Code (IaaC) using Ansible to automate the Cloud Infrastructure.Actively Analyzing & Monitoring Server Load Status (CPU, Network Utilization, etc.) for Virtual Servers using Grafana.

Wrote Technical Articles and Scripts on various Python Libraries.Developed automated tools using Python and Selenium.Developed Python Scripts and Programs from scratch.

Lead a team of 4 members to successfully develop a Music Recommender System.Worked on Backend Development & Deployment using Frameworks - Flask & Django.Built Statistical Models and worked on Python’s Scikit-Learn ML Framework to work with ML Implementation and Evaluation.

Worked on different ML divisions and predicted the results based on problem statements.Contributed to the community by uploading videos on model building and evaluation techniques.Supervised and Unsupervised Machine Learning and its application were majorly focused on.