Machine Learning
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
NotebooktoCleanEcomData
May 26, 2022 – May 30, 2022
Notebooks used to clean old data of ecom website
View ProjectAI-Copter
December 19, 2020 – January 11, 2021
AI that learns to play the classic Copter game
View ProjectSelf-Driving
October 5, 2019 – September 25, 2020
Self-Driving - Lane Detection: a program to detect lanes in a video of a road
View ProjectWeb-scraping-price
July 3, 2019 – July 22, 2019
A Web Scraping program to scrap Laptop prices and their specifications
View ProjectWebliza
April 30, 2018 – February 23, 2021
Implementation of ELIZA(https://en.wikipedia.org/wiki/ELIZA) in python, with user-interface to chat with the bot.
View ProjectMLExercisesPython
February 11, 2018 – February 11, 2018
Machine Learning exercises in Python (Jupyter notebooks)
View ProjectIris-flower-Machine-learning
January 19, 2018 – September 16, 2018
Basic Machine learning project in Python based on Iris Flower dataset to predict the type of flower based on the length and width of both petal and sepal of the flower.
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong inclination towards self-directed learning and personal exploration in areas relevant to Data Science. The diversity of projects, from web scraping to AI games, indicates curiosity and a proactive approach to skill development. However, the lack of team-based projects or professional experience makes it difficult to fully assess cultural fit in a collaborative work environment.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's profile primarily lists personal technical projects without details on collaboration, problem-solving approaches, or communication in a team setting. Psychometric test results are not provided.