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NIT Warangal
Data Scientist
June 13, 2026 – Present
missing-semester-bdacc
May 15, 2024 – July 4, 2024
Tools to energize your workflow. Made as a part of BDACC's Summer Semester Bootcamp, Summer 2024.
View ProjectDeepLearningAI-Short-Course-Material
December 15, 2023 – January 3, 2024
Coding notebooks for DeepLearningAI GenAI Courses
View ProjectGoogle-Research-Identify-Contrails-to-Reduce-Global-Warming
May 13, 2023 – May 15, 2023
Kaggle Featured Competition
View ProjectCAFA-5-Protein-Function-Prediction
May 2, 2023 – May 21, 2023
CAFA 5 Protein Function Prediction kaggle featured competition
View ProjectML-for-Oceanography-
March 26, 2023 – March 30, 2023
IITM kaggle competition for predicting wave length(oceanography)
View ProjectSelf-Driving-Car-using-javascript
December 19, 2022 – January 13, 2023
Self Driving Car using JavaScript(No libraries)
View Projectai-powered-chest-disease-detection-and-classification
November 16, 2022 – November 16, 2022
ai-powered-chest-disease-detection-and-classification — GitHub repository
View ProjectIG-APP-DEV
September 11, 2022 – November 11, 2022
The Startup Name Generator is an Application specifically designed to generate names for your concerned startup. In addition, it also allows the user to save their preferred names and shortlist them accordingly in a separate 'favorites' page.
View ProjectCultural Fit Analysis
The candidate shows a strong inclination towards Data Science and AI/ML, aligning with the target role. The diversity of personal projects, including those outside the core Data Science domain (e.g., Self-Driving-Car-using-javascript, IG-APP-DEV), suggests a broad technical curiosity. However, the lack of detailed descriptions for these projects makes it difficult to fully assess depth of engagement or collaborative potential. The candidate's experience level is listed as 0, with a future-dated 'Data Scientist' role at NIT Warangal, which needs clarification for current relevance.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions are brief, and there are no completed psychometric or English tests to provide insights into communication or work attitude.