
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
nela_ps_temporal_bipartitie_graph
May 4, 2026 – Present
nela_ps_temporal_bipartitie_graph — GitHub repository
View Projectcognitive-affective-info-processing-abm
April 2, 2026 – Present
An agent-based model (ABM) that simulates how people form and update beliefs when exposed to emotionally charged information from different sources (Reddit, media, governme nt). It combines a memory retrieval model (ACT-R-inspired) with an emotion contagion model (AgentZero-style) and a dual-process belief update mechanism.
View Projectmisinformation_as_a_commons_problem
March 27, 2026 – Present
Misinformation as a Commons Problem
View Projectcds-101-project
November 25, 2025 – November 25, 2025
cds-101-project — GitHub repository
View Projectcds-101-project-template
November 25, 2025 – November 25, 2025
Template for CDS 101 Project
View ProjectFB-Post-Extract-Script
March 21, 2016 – October 29, 2016
A short python script to extract data like - page posts, event page discussion - from Facebook.
View ProjectFacebook-Like-Predictor
March 12, 2016 – August 26, 2016
Predicts the expected number of likes for a new facebook post by learning from the older posts.
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and academic in nature, focusing on research-oriented data science problems. While this demonstrates initiative and a passion for the field, the lack of team-based or industry-focused projects makes it difficult to assess cultural fit for a typical corporate data scientist role. The projects align well with a research-heavy environment.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's project descriptions are concise, but there is no information on collaboration, problem-solving approaches, or communication style.