Abhinav Dadhich

Data Scientist

https://www.opentalent.in/abhinav-dadhich

AI in Healthcare

Tricog Health

Key Strengths

Demonstrated experience in various machine learning and deep learning projects, particularly in computer vision (object tracking, face detection, image classification, GANs).
Proficiency in Python and C++ for data science and robotics-related applications.
Experience with deep learning frameworks like PyTorch and TensorFlow.
Practical experience with Kaggle competitions (Top 26% rank in Plant Pathology 2020).

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects are primarily personal and demonstrate a strong interest in machine learning and robotics. The current role as a Data Scientist at Tricog Health aligns with the target role. However, the experience level is listed as 0, which contradicts the current full-time role, making it difficult to fully assess cultural fit and professional experience depth. The project diversity is good within the ML/CV domain, but lacks breadth in other data science areas like MLOps, data engineering, or advanced statistical modeling beyond deep learning applications.

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. Psychometric test scores are 0, providing no insight.

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Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Projects

plant-pathology-2020-fgvc7-pytorch

May 11, 2020 – July 8, 2020

Top 26% rank Solution to kaggle competition on Plant leaf classification

View Project

torch-gcp-fn

December 12, 2019 – Present

Deploy image classification on GCP as cloud function

View Project

imfeatures

March 3, 2019 – March 3, 2019

Minimal image feature extractor using deep learning models in PyTorch

View Project

mtcnn-face-detect

November 7, 2017 – November 7, 2017

Detects face from webcam using MTCNN

View Project

pytorch-gan

June 5, 2017 – September 24, 2019

Modified and example codes of GAN in pytorch

View Project

tensorflow-wrap

March 24, 2017 – August 11, 2017

code snippets to wrap around tensorflow api

View Project

plane-segmentation

May 28, 2016 – June 2, 2016

Contains codes for calculating planes from rgbd-data

View Project

tracker

May 7, 2016 – June 22, 2016

object tracker for VOT

View Project

dynamic_mapping

June 23, 2015 – June 26, 2015

Repo for updating with dynamic occupancy grids

View Project

HMM-occupancy_grid

April 22, 2014 – March 12, 2015

It contains codes for developing HMM over occupancy grid in dynamic environments for robot mapping and localization.

View Project

Key Strengths

Demonstrated experience in various machine learning and deep learning projects, particularly in computer vision (object tracking, face detection, image classification, GANs).
Proficiency in Python and C++ for data science and robotics-related applications.
Experience with deep learning frameworks like PyTorch and TensorFlow.
Practical experience with Kaggle competitions (Top 26% rank in Plant Pathology 2020).

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. Psychometric test scores are 0, providing no insight.

Abhinav Dadhich

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Experience

Projects

Key Strengths

Cultural & Operational Fit