
A Math Lover
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
elliptic-cryptography
September 20, 2022 – September 28, 2022
elliptic-cryptography — GitHub repository
View ProjectTensorLib
June 12, 2022 – September 8, 2022
A multi-dimensional C++ tensor library for arbitrary data types.
View ProjectRandomized-matrix-multiply
April 18, 2021 – April 20, 2021
Randomized-matrix-multiply — GitHub repository
View ProjectProjectAI-DCNN
April 2, 2021 – April 6, 2021
Implementation of 2D Differential convolution layer in PyTorch.
View ProjectFace-Detection-and-Recogniton
February 7, 2021 – February 7, 2021
Face Detection and Recognition tasks like face verificatio, person tagging in python. Model was built from FaceBoxes and FaceNet architecture.
View ProjectOptimizing-SVM-for-imbalanced-data
November 20, 2020 – January 13, 2021
Package for Supervised and Unsupervised learning
View ProjectNYC-taxi-trip-duration-prediction
April 10, 2020 – April 11, 2020
A Kaggle competition named as NewYork taxi trip duration prediction for predictive analytics package.
View ProjectPrediction-Of-Liver-Syndromes
October 22, 2019 – October 22, 2019
Prediction-Of-Liver-Syndromes — GitHub repository
View ProjectCultural Fit Analysis
The candidate's project portfolio indicates a strong personal drive and interest in exploring various technical domains, including data science, cryptography, and general programming. The diversity of projects (e.g., C++ tensor library, mobile app development) suggests a broad curiosity, which can be a positive cultural fit for an innovative environment. However, the lack of team-based projects or professional experience makes it difficult to assess collaboration or alignment with specific team dynamics. The focus on personal projects aligns with a self-starter mentality.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.