Jaideep

Data Scientist

https://talent.gravityer.com/jaideep-1

Elec undergard at IIT Bombay

IIT Bombay

Key Strengths

Demonstrated interest in various Data Science sub-fields through personal projects (e.g., crack detection, metric learning, stock forecasting, NLP, medical diagnostics).
Experience with Python and Jupyter Notebook for data science tasks.
Exposure to deep learning concepts (Transformer Networks, Siamese Networks, LSTMs) and traditional supervised ML.
Current role as 'Data Scientist' at IIT Bombay, indicating formal engagement in the field.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's project portfolio shows a strong inclination towards academic and research-oriented data science problems, which could align well with organizations valuing innovation and deep technical exploration. The diversity of projects (computer vision, NLP, time series, medical) suggests adaptability and a broad interest in applying data science techniques. However, the lack of team-based projects or contributions to open-source initiatives makes it difficult to fully assess collaborative cultural fit.

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. The provided data primarily focuses on technical projects and a current role without details on collaboration, problem-solving approaches, or communication style.

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Projects

Fine-Grained-Crack-Detection-using-Transformer-Network

January 11, 2024 – January 11, 2024

Fine-Grained-Crack-Detection-using-Transformer-Network — GitHub repository

View Project

Siamese-Network-for-Metric-Learning

January 11, 2024 – January 11, 2024

Siamese-Network-for-Metric-Learning — GitHub repository

View Project

Stock-Market-Forecasting-with-LSTM

January 11, 2024 – January 11, 2024

Stock-Market-Forecasting-with-LSTM — GitHub repository

View Project

American-Sign-Language-Fingerspelling-Recognition

January 10, 2024 – January 10, 2024

American-Sign-Language-Fingerspelling-Recognition — GitHub repository

View Project

Heart-Failure-Detection-Using-SupervisedML

January 10, 2024 – January 10, 2024

Heart-Failure-Detection-Using-SupervisedML — GitHub repository

View Project

EE214