Loves Machine Learning & its Devops | Automation enthusiast
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
BERT-NER-
July 3, 2021 – July 3, 2021
Named Entity Recognition(NER) using BERT pretrained model.
View ProjectTraffic-Vehicle-Detection
June 20, 2021 – June 26, 2021
Traffic vehicle tracking and counting. Ingredients: YOLOv5s + DeepSORT.
View Projectsample_nbdev_repo
December 31, 2020 – October 20, 2022
sample_nbdev_repo — GitHub repository
View ProjectNIC-2015-Pytorch
April 29, 2020 – May 1, 2020
Neural Image Captioning 2015 implemented in Pytorch on MS COCO 2014 dataset.
View ProjectNeural-Manifold-literature
April 29, 2020 – May 1, 2020
Collection of useful resources to understand neural manifold and their applications in Neuroscience.
View Projectpfca
September 2, 2019 – September 13, 2020
Programming Framework for Clinical Image Analysis. Python library for MRI data processing.
View ProjectSpike-Trigerred-Average
June 21, 2018 – July 7, 2018
Neural Encoding : Computing Spike-Triggered Average from stimulus-time series and spike-time series. (Computational Neuroscience Coursera)
View ProjectConnectomics-Neuroscience
February 28, 2018 – February 28, 2018
MATLAB Script for performing brain connectivity analysis using Brain Connectivity Toolkit(BCT).
View ProjectBLAST-Python
October 6, 2017 – April 14, 2018
Implementation of BLAST(Basic Local Alignment Search Tool) algorithm in Python 3.5 using Numpy.
View Projectlarvae-counter
April 14, 2017 – April 14, 2017
This image processing algorithm detects and counts a specific type of larvaes(here varmae shrimp larvae).
View ProjectCultural Fit Analysis
The candidate's projects show a strong academic and research-oriented background, particularly in computational neuroscience and biomedical applications. This aligns well with roles requiring deep analytical skills and problem-solving in specialized domains. However, the lack of team projects or professional experience makes it difficult to assess collaboration and broader industry cultural fit. The projects are diverse within the data science domain, but primarily personal, which limits insight into collaborative work styles.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.