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AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
image_classification
October 12, 2019 – October 17, 2025
Pushing CIFAR-10 SOTA using ResNets.
View Projectmnist_lstm
October 2, 2019 – October 2, 2019
MNIST Classification using Recurrent Neural Nets
View ProjectSkin-Cancer-Classification
October 2, 2019 – October 2, 2019
CNN trained on the HAM10000 dataset to classify skin cancer lesions (in progress)
View ProjectWind-Turbine-Surface-Damage-Detection
September 29, 2019 – September 29, 2019
A CNN model capable of detecting the presence of surface damages on wind turbines
View ProjectResidual-Image-Denoising
September 29, 2019 – August 28, 2020
Image Denoising using Residual Learning of Deep CNNs
View ProjectPokerAI
September 29, 2019 – September 29, 2019
A rudimentary simulation of a Poker AI, developed in turbo c++
View ProjectCNNs-from-Scratch
September 28, 2019 – October 8, 2019
An OO CNN library developed from scratch (using only numpy)
View Projectcomputer-vision
July 23, 2019 – April 2, 2020
All the Computer Vision Models I've worked on
View ProjectLinear-Regression---a-General-Approach
November 7, 2018 – November 7, 2018
A complete, user-friendly python library to perform linear regression (simple and multiple) with any choice of dataset.
View ProjectCultural Fit Analysis
The candidate's projects are predominantly personal and focused on deep learning and computer vision, which aligns with a Data Scientist role, especially one with an AI/ML focus. However, the lack of team projects or diverse domain experience limits the assessment of broader cultural fit. The projects show a strong individual drive and initiative.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's project descriptions are concise but lack details on collaboration, problem-solving approaches, or project management.