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Engineer with a passion for DataScience (AI/ML), Automation, DevOps and Agile methodologies.
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Capgeminim
Data Scientist
June 18, 2026 – Present
forecasting-experiments
December 27, 2024 – January 19, 2025
Experimenting forecasting models & pipelines in GCP Vertex AI
View Projectnlp-text-classification-naive-bayes
October 24, 2024 – October 29, 2024
Natural Language Processing, often abbreviated as NLP, gives the ability to machines to understand, read, and get meaningful insights from human language.This project also explains the working of the Naive Bayes algorithm and related terminology for multi class text classification.
View ProjectML-text-generator-using-aws-sagemaker
August 24, 2024 – August 26, 2024
ML-text-generator-using-aws-sagemaker — GitHub repository
View ProjectGen_AI_AWS
August 1, 2024 – August 20, 2024
Hands on examples of different architectures of Gen AI apps on AWS
View ProjectML-creditworthiness-logistic-regression
April 26, 2024 – April 26, 2024
Basic ML project to demonstrate use of logistic regression to determine creditworthiness of client
View Projectshell-scripting
August 9, 2021 – August 9, 2021
some basic shell scripts to understand fundamental concepts
View Projectcodeceptjs-playground
August 10, 2019 – August 10, 2019
Playground for BDD , webdriverIO based test automation
View ProjectSeleniumTraining
April 18, 2017 – May 3, 2017
Repository containing sample test scripts used for Selenium & CI training
View ProjectCultural Fit Analysis
The candidate's projects show a strong inclination towards Data Science and Machine Learning, aligning with the target role. However, the diversity of projects also includes web development (node-express-cms, openwc-codelabs), testing (codeceptjs-playground, SeleniumTraining), and shell scripting, which might indicate a broad interest rather than a focused deep dive into Data Science. The current experience lists 'Data Scientist' role, but with a future start date (2026), which is unusual and suggests a lack of current professional experience in the role.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. Psychometric test scores are 0, providing no insight.