
A software engineer at LinkedIn. Ex- Adobe SWE intern.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Data Scientist
June 21, 2026 – Present
Python-Beginners
March 12, 2020 – March 12, 2020
The Course Content is available in this repository.
View Projectresearch
January 27, 2020 – March 3, 2021
A directory to get started with research and holds information for various research opportunities.
View ProjectHacktober-Fest-2019
October 7, 2019 – May 10, 2023
A beginner friendly repository made specifically for open source beginners. Add any program of any language and contribute in Hacktober Fest 2019
View ProjectLeanIn-Machine-Learning-Circle-2019-20-IGDTUW
September 19, 2019 – October 31, 2019
Machine Learning and Data Science with Python Sessions!
View Projectcelestini-audio-crowdsourcing-app
September 3, 2019 – September 3, 2019
celestini-audio-crowdsourcing-app — GitHub repository
View Projectcelestini_project_2019
April 7, 2019 – April 8, 2019
celestini_project_2019 — GitHub repository
View ProjectwomenInTechTwitterAnalysis
January 3, 2019 – March 23, 2019
womenInTechTwitterAnalysis — GitHub repository
View ProjectEmoji-Prediction
November 9, 2018 – July 19, 2019
Emoji Prediction for a given sentence using Deep Learning Models - RNN and LSTM
View ProjectCultural Fit Analysis
The candidate's projects show a breadth of interest in various programming languages (C++, Java, Python) and some engagement with open-source (Hacktober-Fest-2019). However, the projects are primarily personal and entry-level, lacking depth in collaborative or complex data science initiatives. The 'experienceLevel' is 0, and the listed 'Data Scientist' role at LinkedIn starting in 2026 suggests future or aspirational experience, not current or past professional experience. This indicates a potential mismatch for a senior-level role requiring extensive industry experience.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. Psychometric test scores are 0, indicating no completed assessment.