Machine Learning 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
Time-Series-Analysis-Modules
November 29, 2020 – December 4, 2020
Time-Series-Analysis-Modules — GitHub repository
View ProjectAir-Passengers-Time-Series-Forecast
November 28, 2020 – November 28, 2020
Air-Passengers-Time-Series-Forecast — GitHub repository
View Projectmnist-digit-recognition
May 21, 2020 – May 21, 2020
Simple handwritten digit recognition using MNIST Dataset.
View Projectconnect-four-game
May 20, 2020 – November 29, 2020
A real time & turn based strategy game with multiplayer support.
View ProjectML-and-DL-Models
April 12, 2020 – April 24, 2020
This repository contains Machine Learning and Deep Learning models, which are developed from scratch.
View ProjectTRIES-SpellChecker
April 11, 2020 – April 11, 2020
A Spell Checker program in C, which is built using TRIES.
View ProjectCultural Fit Analysis
The candidate's personal projects show initiative and a self-driven learning approach, which can be a positive cultural fit. The diversity of projects (time series, spell checker, game) indicates a broad interest, but also a potential lack of deep specialization in one area. Alignment with a 'Data Scientist' role is present through ML/DL and time-series projects.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.