Sudheesh E

Data Scientist

https://talent.gravityer.com/sudheesh-e

AI, Machine Learning, Computer Vision enthusiast

Bengaluru, Karnataka, India

Key Strengths

Demonstrated proficiency in Python for data science and machine learning tasks.
Extensive experience with Jupyter Notebook for development and experimentation.
Strong focus on computer vision projects, including object detection (YOLO, SAHI, YoloV5) and instance segmentation (TFOD).
Experience with Docker for containerization, indicating understanding of deployment aspects.
Projects cover various domains like defect detection (Turbine, Car, PCB) and customer segmentation (RFM, Cross-Sell).

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's project portfolio demonstrates a strong interest and practical application in data science and machine learning, aligning well with a Data Scientist role. The diversity of projects, from computer vision to customer segmentation, indicates a broad technical curiosity and ability to apply skills across different problem domains. However, the lack of team-based projects or explicit collaboration descriptions limits the assessment of cultural fit beyond technical alignment.

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.

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Projects

sfafasfas

December 20, 2022 – December 20, 2022

sasda

View Project

Turbine_Detection_YOLO_SAHI

November 15, 2022 – November 16, 2022

Turbine_Detection_YOLO_SAHI — GitHub repository

View Project

car_exterior_defect_segmentation_inferencing

November 9, 2022 – November 10, 2022

car_exterior_defect_segmentation_inferencing — GitHub repository

View Project

TFOD_1_Custom_Instance_Segmenation_Template

November 1, 2022 – November 7, 2022

TFOD_1_Custom_Instance_Segmenation_Template — GitHub repository

View Project

PCB_Defect_Detection_Training

October 18, 2022 – October 18, 2022

PCB_Defect_Detection_Training — GitHub repository

View Project

PCB_Defect_Detection

October 18, 2022 – October 18, 2022

PCB_Defect_Detection — GitHub repository

View Project

YoloV5_Custom_training_template

October 16, 2022 – October 16, 2022

YoloV5_Custom_training_template — GitHub repository

View Project

Cross_Sell

October 9, 2022 – December 10, 2022

Cross_Sell — GitHub repository

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RFM_Customer_Segmentation

September 13, 2022 – December 10, 2022

RFM_Customer_Segmentation — GitHub repository

View Project

Face_recognition_app

August 1, 2022 – August 1, 2022

Face_recognition_app — GitHub repository

View Project

Key Strengths

Demonstrated proficiency in Python for data science and machine learning tasks.
Extensive experience with Jupyter Notebook for development and experimentation.
Strong focus on computer vision projects, including object detection (YOLO, SAHI, YoloV5) and instance segmentation (TFOD).
Experience with Docker for containerization, indicating understanding of deployment aspects.
Projects cover various domains like defect detection (Turbine, Car, PCB) and customer segmentation (RFM, Cross-Sell).

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.

Sudheesh E

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit