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Machine Learning Engineer @New Relic
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Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
@newrelic
C Machine Learning Engineer Models Training
June 13, 2026 – Present
Telecom-Churn-Prediction
August 20, 2024 – Present
The architecture is designed to handle large volumes of data, ensure low latency, and facilitate both ETL (Extract, Transform, Load) and ML (Machine Learning) pipelines.
View ProjectChatbot
February 17, 2024 – April 15, 2024
A Simple Chatbot created using LLM deployed on EKS using terraform
View ProjectExpense_manager
August 14, 2022 – April 12, 2024
Categorization of expense from Bank account statement
View ProjectCultural Fit Analysis
The candidate's projects show a strong focus on Machine Learning and MLOps, which aligns well with the 'C Machine Learning Engineer Models Training' target role. The diversity of projects, including LLM, churn prediction, and biometric recognition, indicates a broad interest within the ML domain. However, the lack of detailed descriptions makes it difficult to fully assess the depth of engagement and collaborative potential. The candidate's current role is listed as 'C Machine Learning Engineer Models Training' at @newrelic, which directly matches the target role, suggesting a strong alignment in career trajectory.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions are brief, and no psychometric or English test results are available.