Hey,
I'm Rishabh
I am a seasoned software developer with a passion for data driven products.

SOMETHING PERSONAL
Some interesting facts about me. I love to read fiction, psychology and philosophy. The last fiction I read was "The Hobbit"e; by J.R.R. Tolkien. I also take pleasure in cooking and specialize in Indian curries and beans. I also love to sing and make conversations with people about all sorts of things. Other than that, I cannot live without learning something new every day and constantly improve my understanding in the field of data analytics and engineering.
Professionally, I have been working as a Software Consultant and Developer for the past 4 years. I am currently working as a Social Impact Analyst at ZNotes where I am utilizing my software developemnt knowledge and data analytics skills to collect product usage data which is later analyzed to craft amazing user journeys.
Areas of Interest
Things I love working with and I am good at
Software Development
Working with NodeJS and Python microservices and deploying them using Docker
Data Processing
Building data processing pipelines with data governance and security best practices on GCP
Teaching & Presenting
I love creating impactful and engaging presentations for students and audiences using Canva ❤
Collaboration
I enjoy working with people from diverse backgrounds and cultures
Parallel Computing
Spark and Hadoop are the best thing ever happend to data
Data Analytics
Analyzing and visualizing data using Tableau, PowerBi, Matplotlib and MS Excel
Experience
People and things I have worked with
Social Impact Analyst

ZNotes
Software Engineer

Nuevezo LLC
Software Pre-Sales Consultant

Elitser Technologies Pvt. Ltd.
Projects
My side projects and some cool things I have worked on
Stocks Data Engineering and ML Pipeline
Stock data engineering pipeline using Dagster. This project involves collecting, cleaning, transforming and modeling stock time-series data using pandas, matplotlib, sklearn and hosting the generated ML model on GCP.
Self-Hosted Data Engineering Stack
Utilized Docker to orchestrate a self-hosted data engineering stack with Kafka, Spark, Airflow and Minio. Processed data in batch and realtime for Toronto Rentals. This project uncovered several implementational details of Spark and Airflow.