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AIOps (Artificial Intelligence for IT Operations) Engineer at HPE | Google Cloud Certified ML and Data Engineer
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Hewlett Packard Enterprise
Data Scientist
June 19, 2026 – Present
Scientific-Researcher-Agentic-System
July 26, 2025 – July 26, 2025
This repository implements a multi-agent system for an intelligent researcher tool.
View ProjectWeb-Scraping
April 16, 2022 – May 15, 2022
Scraping product review texts from Amazon web page
View ProjectHate-Speech-Detection-Pipeline-on-GCP
April 15, 2022 – May 16, 2022
A Real time, End to End DataFlow pipeline to detect hate speech in YouTube comments.
View ProjectBigquery-Containers-on-Google-Cloud
March 11, 2022 – March 13, 2022
This project shows how to access Bigquery python API inside a docker container running on Google Cloud.
View ProjectAlgorithms
January 16, 2022 – May 29, 2022
Implementation of commonly used algorithms in python
View ProjectDistributed-Training-with-TensorFlow
December 5, 2021 – April 2, 2022
This repository shows how to distribute training of large machine learning models to make it faster.
View ProjectTFX-Pipelines-on-Google-Cloud
November 20, 2021 – June 4, 2025
This repository shows how to create and deploy TFX (TensorFlow Extended) pipelines on Google Cloud Platform.
View ProjectPreprocessing-with-Dataflow-Pipelines
November 4, 2021 – January 23, 2022
A repository to show how to use Google Cloud's Dataflow pipelines for data preprocessing using Apache beam in python
View ProjectSentiment-Analysis-of-Amazon-Reviews
August 20, 2021 – April 15, 2022
To extract sentiments from Amazon's Customer Reviews using Google Cloud's Vertex Ai.
View ProjectCancer-Detection-using-GCP
July 19, 2020 – April 2, 2022
To classify medical images into benign and cancerous using Google Cloud's Vertex Ai.
View ProjectCultural Fit Analysis
The candidate's projects are exclusively personal and heavily focused on Google Cloud Platform and Python for data science. While this aligns with a Data Scientist role, the lack of diverse project types, team-based work, or contributions to open source beyond personal repositories limits the assessment of broader cultural fit and adaptability. The candidate has one current full-time role as a Data Scientist, which aligns with the target role.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's projects demonstrate initiative and technical execution, but there is no information on collaboration, problem-solving approach, or communication style.