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MS in Data Science @ SUNY Buffalo| Data Science | ML | DL | AI | Cloud Computing (Azure) | Generative AI
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Semantic-Scene-Synthesis
May 1, 2024 – May 28, 2024
Semantic-Scene-Synthesis — GitHub repository
View Projectproject-database-ui
April 29, 2024 – April 29, 2024
project-database-ui — GitHub repository
View ProjectGenerative-AI-Assistant
February 10, 2024 – February 10, 2024
Generative-AI-Assistant — GitHub repository
View Projectreviewing-a-pull-request
March 19, 2022 – March 19, 2022
reviewing-a-pull-request — GitHub repository
View Projectgithub-slideshow
March 19, 2022 – March 19, 2022
A robot powered training repository :robot:
View ProjectProjects
January 26, 2022 – January 24, 2025
This repository is a collection of the various Projects that I've worked on.
View ProjectDatacamp-Data-Scientist-with-R-Track-
May 13, 2021 – May 31, 2021
View all the Course contents of the Data Scientist with R - Track from DataCamp
View ProjectDatacamp-Data-Analyst-with-SQL-Server-Track
May 9, 2021 – May 9, 2021
View all the Course contents of the Data Analyst with SQL Server- Track from DataCamp
View ProjectCertifications
February 6, 2021 – October 4, 2021
Here are all my major certifications that I have finished over time
View ProjectDataScience-Learn
September 29, 2020 – January 26, 2022
Data Science Starter Kit (Using Python)
View ProjectCultural Fit Analysis
The candidate shows a strong inclination towards self-learning and personal project development, which can be a positive cultural fit for a proactive environment. However, the projects are primarily academic or personal learning exercises, lacking evidence of collaborative work or real-world application, which might indicate a need for development in team-oriented environments. The diversity of projects is good, but their depth and impact are not clearly articulated.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions are brief, and there are no completed psychometric or English tests to provide insight into communication or work attitude.