Arighna Chakrabarty

Data Scientist

https://talent.gravityer.com/arighna-chakrabarty

Google | Ex-Microsoft | GSoC '19 @sympy

IIT Guwahati, India

Key Strengths

Demonstrated interest in Machine Learning and Data Science through multiple personal projects (tiny-image-net, Tiny-Imagenet, opencv_dnn_yolo, Machine_Learning_Projects, Handwriting-Recognition-Demo).
Experience with Python for ML/DL tasks.
Participation in technical competitions (Kriti 2018, Microsoft Code Fun Do 2018) indicates initiative and problem-solving interest.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's project portfolio shows a strong inclination towards personal learning and competition participation, which suggests a proactive and self-driven individual. The diversity of projects, from ML to robotics and web development, indicates a broad interest in technology. However, without specific experience or education details, it's challenging to fully assess cultural fit beyond a general enthusiasm for technical challenges.

Soft Skills & Operational Fit

The provided data is insufficient to assess soft skills and operational fit. No psychometric test results or interview feedback are available.

AI is analyzing your overall score…

Identifying your key strengths…

Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Projects

LeetCode-Solutions

April 24, 2020 – December 6, 2023

Contains all my handwritten notes for the problems I have solved in LeetCode.

View Project

Placement_Materials

June 29, 2019 – August 18, 2019

Placement preparation resources

View Project

opencv_dnn_yolo

March 10, 2019 – March 10, 2019

Object Detection by running inference on pre-trained YOLO algorithm, by using OpenCV dnn module.

View Project

Tiny-Imagenet

December 11, 2018 – December 11, 2018

Submission to the famous Tiny ImageNet Visual Recognition Challenge as a part of Kriti 2018, an inter-hostel technical competition in IITG.

View Project

Resurrector

October 24, 2018 – March 10, 2019

Submission for Microsoft Code Fun Do 2018

View Project

rescue_and_relief

October 12, 2018 – October 12, 2018

Our Idea for tackling the issue of predicting and managing natural disasters. Has been submitted as response to Code Fun Do 2018's problem statement.

View Project

tiny-image-net

October 9, 2018 – June 3, 2019

ML Code

View Project

Handwriting-Recognition-Demo

July 25, 2018 – November 4, 2017

A simple little handwriting recognition demo using scikit-learn and a Random Forest classifier.

View Project

Automated-Toilet-Cleaner-Robot

July 25, 2018 – July 25, 2018

Code for implementing a two - hinged DIY Arduino Robotic Arm, which automatically cleans the outer and inner surface of the toilet seat and bowl.

View Project

Machine_Learning_Projects

June 21, 2018 – June 21, 2018

A repostitory containing projects, based on some world-famous algorithms..!!

View Project

Key Strengths

Demonstrated interest in Machine Learning and Data Science through multiple personal projects (tiny-image-net, Tiny-Imagenet, opencv_dnn_yolo, Machine_Learning_Projects, Handwriting-Recognition-Demo).
Experience with Python for ML/DL tasks.
Participation in technical competitions (Kriti 2018, Microsoft Code Fun Do 2018) indicates initiative and problem-solving interest.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

The provided data is insufficient to assess soft skills and operational fit. No psychometric test results or interview feedback are available.

Arighna Chakrabarty

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit