
MS, Computer Science @ Johns Hopkins University
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Assessing your cultural and operational fit
Aurobindo Pharma
Data Scientist
June 29, 2026 – Present
ecom-prod-management
November 16, 2024 – November 16, 2024
ecom-prod-management — GitHub repository
View Projectipl-stats-cluster
April 23, 2024 – April 23, 2024
An Apache Spark - Databricks clustered hands-on data engineering project
View Projectqsr-sales-da
April 22, 2024 – April 24, 2024
This project uses Apache Spark to analyze data from a US-based Indian QSR chain, providing insights into sales trends, customer behavior, and product popularity to guide business decisions.
View Projectnode-fundamentals
January 1, 2024 – January 1, 2024
Revisiting basics for crystal clear understanding of node.js internals
View Projectscalable-socket-app
December 24, 2023 – December 31, 2023
To build a scalable socket application with Redis pub/sub architecture and TurboRepo, you would integrate a real-time communication framework (like Node.js and Socket.io) with Redis for message handling. TurboRepo is used to manage and spin up multiple servers simultaneously, ensuring efficient scaling and deployment.
View Projecttrading-data-engineering
October 7, 2023 – December 2, 2023
This project develops a real-time data pipeline to manage and analyze high volumes of unstructured data, enabling quick data-driven decisions. It transforms unstructured, auto-generated data into analyzable formats, enhancing business intelligence with efficient, scalable solutions.
View Projectkafka-node-server
September 30, 2023 – December 2, 2023
Created a kafka node server with a Command Line Interface UI.
View ProjectCultural Fit Analysis
The candidate's projects show a strong inclination towards personal learning and exploration across various technologies (JavaScript, Java, Python, Spark, Kafka). While this demonstrates curiosity, the diversity of projects, some of which are not directly aligned with a senior Data Scientist role (e.g., web scraping, general Node.js fundamentals), suggests a broad interest rather than deep specialization. The single listed current experience as 'Data Scientist' starting in 2026 is anomalous and likely a data entry error, making it difficult to assess direct role alignment. The lack of professional experience details beyond a future-dated entry limits the assessment of cultural fit within a professional data science team.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The psychometric test score is 0, providing no insights.