
Aim: To provide better solutions to others...
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
The Black Knight
Data Scientist
June 21, 2026 – Present
awesome-table-detection-and-table-structure-recognition
July 11, 2020 – July 11, 2020
awesome-table-detection-and-table-structure-recognition
View ProjectTabulo
August 29, 2019 – November 24, 2022
Table Detection and Extraction Using Deep Learning ( It is built in Python, using Luminoth, TensorFlow<2.0 and Sonnet.)
View ProjectTable-Detection-using-Deep-Learning
August 8, 2019 – May 29, 2021
Table Detection using Deep Learning
View ProjectData-Science-Competitions
August 2, 2019 – January 30, 2020
Goal of this repo is to provide the solutions of all Data Science Competitions(Kaggle, Data Hack, Machine Hack, Driven Data etc...).
View ProjectAwesome-XGBoost
January 13, 2019 – January 13, 2019
This page contains a curated list of examples, tutorials, blogs about XGBoost usecases.
View Projectunirest-java-tutorial
September 11, 2018 – September 12, 2018
Unirest is a lightweight HTTP client library from Mashape. Along with Java, it’s also available for Node.js, .Net, Python, Ruby, etc.
View ProjectStanford-CoreNLP-Tutorial
May 5, 2018 – May 5, 2018
Stanford-CoreNLP-Tutorial — GitHub repository
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong inclination towards self-learning and contributing to the data science community through sharing solutions and tutorials. This indicates a proactive and collaborative mindset. However, the projects are predominantly personal and tutorial-focused, which might suggest a need for more experience in team-based, production-level data science environments. The current experience as 'Data Scientist' is listed as current with a future start date, making it difficult to assess real-world team collaboration or project management experience.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The psychometric test score is 0, providing no insights.