Bhuwan Vamsi Tamma

Data Scientist

https://www.opentalent.in/bhuwan-vamsi-tamma

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IndiaMember since June 14, 2026

Key Strengths

Demonstrated interest in Data Science and AI/ML through projects like 'AITradingModel' and 'malaria_type_classification'.
Experience with Python and Jupyter Notebook, which are core tools for Data Scientists.
Exposure to deep learning with VGG16 architecture and transfer learning in the 'malaria_type_classification' project.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's project portfolio shows a strong inclination towards personal projects, indicating self-motivation and a proactive learning approach. The diversity of projects, from AI/ML to web development and C++ applications, suggests a broad interest in technology. However, without specific team collaboration experiences or work history, assessing cultural fit beyond individual drive is challenging.

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Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Projects

CryptobotIndia

February 4, 2026 – Present

CryptobotIndia — GitHub repository

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AITradingModel

January 20, 2026 – Present

AITradingModel — GitHub repository

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Image-Categorizer

August 15, 2025 – August 17, 2025

A React-based management system with drag-and-drop functionality for organizing categories and images, built using @hello-pangea/dnd

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certifications

January 18, 2025 – July 14, 2025

certifications — GitHub repository

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task_focus_app-and-automation_tester

November 14, 2024 – November 28, 2024

Task Focus App is a simple task management application with features like user registration, login, task creation, editing, completion, and deletion. It uses MongoDB for data storage and comes with a basic automation testing framework built using Selenium WebDriver and Python’s unittest to validate core functionalities.

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hospital-management-system

October 9, 2024 – October 10, 2024

A console-based C++ application

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malaria_type_classification

September 21, 2024 – November 9, 2024

Malaria Parasite Species Classification is a deep learning project that uses the VGG16 architecture with custom layers and image augmentation to classify malaria parasite species from microscopic images, improving accuracy and robustness with transfer learning.

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Key Strengths

Demonstrated interest in Data Science and AI/ML through projects like 'AITradingModel' and 'malaria_type_classification'.
Experience with Python and Jupyter Notebook, which are core tools for Data Scientists.
Exposure to deep learning with VGG16 architecture and transfer learning in the 'malaria_type_classification' project.

Cultural & Operational Fit

Cultural Fit Analysis

Bhuwan Vamsi Tamma

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit