Passionate AI/ML Engineer specializing in cloud and natural language processing. Enthusiast of cutting-edge technologies like LLMs and RAG systems.
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Searce
Data Scientist
June 21, 2026 – Present
auto-email-reply-gpt3.5-pdf
June 30, 2023 – July 21, 2023
A Python project that leverages the power of paLM AI, PDF processing, and email integration to automatically extract information from PDF documents, generate context-aware email replies, and provide a seamless communication experience with customers.
View ProjectPredicting-Customer-Churn
June 22, 2023 – June 22, 2023
This project employs machine learning to segment customers. Logistic Regression and Random Forest models are compared, with Random Forest demonstrating higher accuracy and lower error. Valuable insights into customer behavior can be derived, enabling targeted marketing strategies for enhanced engagement and retention.
View Projectcustomer-churn-prediction
June 22, 2023 – June 22, 2023
This project employs machine learning to segment customers. Logistic Regression and Random Forest models are compared, with Random Forest demonstrating higher accuracy and lower error. Valuable insights into customer behavior can be derived, enabling targeted marketing strategies for enhanced engagement and retention.
View ProjectResearch-Project
June 15, 2023 – June 15, 2023
A Pre‐trained YOLO‐v5 model and an Image Subtraction Approach for Printed Circuit Board Defect Detection
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal, indicating self-driven learning and exploration. The diversity of projects, from AI/ML to web development, suggests a broad interest, but some projects lack detailed descriptions, making it hard to fully assess depth. The current role as a Data Scientist aligns well with the target role, but the experience level is 0, which contradicts the current employment start date. This discrepancy makes it difficult to accurately assess cultural fit based on professional experience.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The psychometric test score is 0, providing no insights.