Ravirajsinh Dabhi

Data Scientist

https://www.opentalent.in/ravirajsinh-dabhi

ravirajsinhdabhi86@gmail.com

@Techiebutler

Key Strengths

Demonstrated experience in Computer Vision and Object Detection using YOLOV3 and RCNN.
Proficiency in Python for machine learning and embedded systems (Raspberry Pi, Jetson Nano).
Experience with Docker and FastAPI for backend service development and deployment.
Participation in Kaggle competition (Global-Wheat-Detection) indicates practical application of skills.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects are primarily personal and demonstrate a strong interest in Computer Vision and embedded systems. The current role as a Data Scientist aligns with the target role. However, the breadth of data science skills beyond computer vision (e.g., statistical modeling, advanced machine learning algorithms, data engineering, MLOps) is not explicitly demonstrated, which might impact cultural fit for a broader Data Scientist role.

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. Psychometric test score is 0, providing no insights.

AI is analyzing your overall score…

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Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Projects

python-fastapi-mongodb-auth-project

October 30, 2023 – October 30, 2023

Python based authentication implementation (JWT) using fastapi and mongodb. Also dockerizing and setting jenkins pipline.

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fastapi-nginx-docker-boilerplate

August 26, 2023 – August 30, 2023

boilerplate code to run fasapi (or any bakend service) and nginx with docker (docker-compose) on local or on server

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stepper_motor_connection_with_pi_and_jetson_nano

September 27, 2020 – October 10, 2020

How to connect and drive stepper motor with raspberry pi and jetson nano.

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Face-recognition-home-door-lock-system

July 21, 2020 – August 8, 2020

Made Face recognition door lock with Raspberry Pi and other sensors.

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implementation_of_RCNN

June 22, 2020 – July 6, 2020

We implement RCNN algorithm for object detection from an Images.

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Computer_Vision

June 10, 2020 – July 14, 2020

All about Computer vision

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image_segmentation_using_opencv

June 2, 2020 – June 22, 2023

Implement Watershed Algorithm using OpenCV for image segmentation.

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connect_mobile_camera_with_computer_using_python

May 28, 2020 – December 8, 2022

Code regarding connect any smart phone camera with computer using python.

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Global-Wheat-Detection

May 19, 2020 – July 16, 2020

Kaggle competition of wheat head detection from images.

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Crop_and_weed_detection

April 4, 2020 – July 6, 2023

we made the crop and weed detection model using YOLOV3 on agricultural image data.

View Project

Key Strengths

Demonstrated experience in Computer Vision and Object Detection using YOLOV3 and RCNN.
Proficiency in Python for machine learning and embedded systems (Raspberry Pi, Jetson Nano).
Experience with Docker and FastAPI for backend service development and deployment.
Participation in Kaggle competition (Global-Wheat-Detection) indicates practical application of skills.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. Psychometric test score is 0, providing no insights.

Ravirajsinh Dabhi

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Experience

Projects

Key Strengths

Cultural & Operational Fit