Achintya Shankhdhar

Data Scientist

https://talent.gravityer.com/achintya-shankhdhar

Hey, I am a Machine Learning Engineer and part time researcher working in the domain of Natural Language Processing

New Delhi, Delhi, India

Key Strengths

Demonstrated interest in Data Science and Machine Learning through multiple personal projects.
Experience with various ML/DL techniques including NLP (XLNet), computer vision (Brain tumor segmentation), and anomaly detection (Extreme-Rare-Event-Detection).
Familiarity with Python and Jupyter Notebook for data science workflows.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's project portfolio shows a strong inclination towards self-driven learning and exploration in data science, which could indicate a proactive and curious mindset. However, the lack of team-based projects (beyond a hackathon from 2019) and professional experience makes it difficult to fully assess cultural fit, especially regarding collaboration and adaptability in a structured team environment.

Soft Skills & Operational Fit

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

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

klang.ai

February 7, 2021 – July 6, 2021

A Deep Learning Based Voice Analytics toolkit

View Project

Brain_tumor_segmentation

September 27, 2020 – March 10, 2021

Brain_tumor_segmentation — GitHub repository

View Project

Extreme-Rare-Event-Detection

May 2, 2020 – October 2, 2020

Detecting Extreme rare events, that is where one class is is less than 10% of the total, using AutoEncoders

View Project

Multi-task-learning

January 31, 2020 – February 7, 2020

An attempt to get started with Multi task Learning

View Project

CartPole-RL

January 22, 2020 – January 22, 2020

Using PPO to train Cartpole from OpenAI gym

View Project

Twitter_Data_Retrieval

October 12, 2019 – April 29, 2020

A Python script to get tweet data like text , user name, creation date if a user has a file containing the tweet ids

View Project

XLNet_Classification_tuning

August 22, 2019 – August 22, 2019

Fine tuning the worlds best transfer learning model for NLP to perform text classification

View Project

SIH-19

February 12, 2019 – May 2, 2019

a web application for supply chain management for Smart India Hackathon 2019

View Project

Django_app

December 29, 2018 – January 7, 2019

Django_app — GitHub repository

View Project

NumpyStack

November 22, 2018 – December 8, 2018

Basics of the mathematical and visualization libraries required to learn machine learning

View Project

Key Strengths

Demonstrated interest in Data Science and Machine Learning through multiple personal projects.
Experience with various ML/DL techniques including NLP (XLNet), computer vision (Brain tumor segmentation), and anomaly detection (Extreme-Rare-Event-Detection).
Familiarity with Python and Jupyter Notebook for data science workflows.

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.

Achintya Shankhdhar

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit