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Esprit School of Engineering
Data Scientist
June 28, 2026 – Present
silkweb
May 9, 2026 – Present
🕸️ LLM-native Python scraping, fetch pages, extract typed data... often without hand-written selectors.
View Projectgithub-stars-history-visualizer
November 10, 2025 – November 19, 2025
github-stars-history-visualizer — GitHub repository
View ProjectfinancialReportAgent
October 26, 2025 – December 26, 2025
An intelligent multi-agent system that autonomously generates comprehensive, data-driven financial performance reports.
View ProjectDoctra
August 13, 2025 – November 29, 2025
📄🔍 Parse, extract, and analyze documents with ease 📄🔍
View ProjectAI_Agents_Examples
November 29, 2024 – November 29, 2024
This repository contains practical Jupyter notebook examples showcasing how to build and use AI agents for tasks like research automation, customer support, outreach campaigns, and data analysis with LLM function calling. Perfect for learning or prototyping AI agent workflows.
View ProjectDocuments-Parsing-Lab
October 7, 2024 – November 1, 2025
Jupyter notebooks testing different OCR models for document parsing (Dolphin, MonkeyOCR, Marker, Nanonets, ...)
View ProjectOpenCV_image_processing_techniques
August 10, 2024 – August 10, 2024
OpenCV_image_processing_techniques — GitHub repository
View Projectturing-care-app
May 10, 2022 – July 18, 2022
TuringCare enables fast and effective disease response by providing an easy management and access to patient information at one place. The TuringCare web app also allows healthcare professionals to early detect lung diseases (Covid-19, Tuberculosis, Viral Pneumonia) in Chest X-Ray images and link results to patients' records. The TuringCare app uses Artificial Intelligence to classify diseases and interpret abnormalities in the lungs from Chest X-Ray images.
View ProjectCultural Fit Analysis
The candidate shows a strong inclination towards personal projects, indicating self-motivation and a passion for technology. The diversity of projects, from AI agents to web development and image processing, suggests adaptability and a broad interest in different technical domains. The focus on AI/ML projects aligns well with a Data Scientist role, demonstrating a clear career interest.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions indicate a proactive and self-driven approach to learning and applying new technologies, particularly in AI/ML.