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Oracle
Data Scientist
June 13, 2026 – Present
ein
April 4, 2025 – April 6, 2025
Implementation for rearrange function from einops library
View ProjectAIRadiologyAssistantForDevelopingCountries
July 3, 2023 – July 3, 2024
MI4people's project about AI radiology assistant to support medical workers in developing countries
View Projectyolov7-intel
June 27, 2023 – July 2, 2023
olov7-Intel-Optimized: A PyTorch-based GitHub repository showcasing YOLOv7, an object detection model optimized with Intel Extension and OpenVINO. Unlock lightning-fast inference speeds and superior performance on Intel architectures for precise and efficient real-time object detection.
View ProjectSemanticSearchDB
June 13, 2023 – September 19, 2023
Semantic search bot leveraging LLMs. Enhances search with advanced language understanding. Pre-trained models, data pipelines, and optimized algorithms provided. Accurate, context-aware results for articles, knowledge bases, and complex queries. Unlock the power of semantic search in this repository.
View ProjectTadGAN-Research
May 27, 2023 – December 24, 2023
Stock Market Manipulation with Deep Learning. Explore code, datasets, and architectures for detecting and understanding manipulation in financial markets. Join us in researching fair and transparent markets.
View ProjectSMS-Spam-API
January 15, 2022 – January 27, 2022
Deep Learning based end-to-end solution for detecting fraudulent and spam messages across all your devices
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and research-oriented, indicating a strong drive for individual exploration and technical depth. The 'AIRadiologyAssistantForDevelopingCountries' project suggests an interest in impactful applications. However, without information on team collaboration or professional work environments (beyond the current role at Oracle with no details), it's difficult to fully assess cultural fit. The current role at Oracle as a Data Scientist aligns with the target role, but no details are provided.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions are clear but do not provide insight into collaboration, problem-solving approaches, or communication styles.