Data Science | Machine Learning | Python
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
protobuf-python
October 6, 2020 – October 7, 2020
See how you can serialize and deserialize a message using proto generated python code; Compare with JSON in terms of storage size taken
View Projectnatural_language_processing
September 16, 2019 – September 16, 2019
natural_language_processing — GitHub repository
View Projectdocker-jupyterlab
September 28, 2018 – September 28, 2018
Jupyterlab Docker Image - Includes Data Science packages, node.js, IJavascript (Kernel for jupyterlab), some commonly used node packages.
View Projectdev-setup
August 20, 2018 – May 26, 2019
Ubuntu(Linux) development environment setup: Automated Bash Scripts to setup developer tools ranging from General Apps and Tools, Developement Tools, Development Apps, IDEs, Datastores, Utilities like Redis, Docker, etc to save time spent manually installing + setting them up one-by-one.
View ProjectMachine-Learning
May 23, 2018 – September 25, 2018
Repository of code for my data analysis and machine learning projects.
View ProjectMy-Browser-History-Visualization
April 24, 2018 – January 17, 2019
A Portfolio Project demonstrating my Data Wrangling, Data Analysis, Data Visualization skills
View ProjectLen-Den
December 27, 2016 – January 28, 2017
An Android Application coded in Java that allows user to maintain a ledger of lendings and borrowings with option to add/edit/delete entries
View ProjectCultural Fit Analysis
The candidate shows initiative through a variety of personal projects, including Android development, web development, and DevOps scripting, alongside core data science projects. This breadth suggests a curious and self-driven individual. The focus on personal projects aligns with a proactive learning attitude. However, without professional experience or team-based projects, it's difficult to fully assess cultural fit in a collaborative work environment.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's project descriptions are clear but do not provide insight into collaboration, problem-solving approaches, or communication style.