ML @ Meta | Agentic AI Engineer | Mentor & Career Coach | ex-Data @ eBay | PhD in Statistics | IIT Alum
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Meta
Data Scientist
June 19, 2026 – Present
Particle_Filters_Code
December 11, 2018 – December 11, 2018
Bayesian inversion and sequential Monte Carlo sampling techniques applied to nearfield acoustic sensor arrays
View ProjectweightedERGM_C
December 6, 2018 – December 6, 2018
All C code for nonparametric weighted ERGM and parametric (normal and gamma) weighted ERGM
View ProjectweightedERGM
December 6, 2018 – December 6, 2018
All weighted network R code for clustering and simultaneous nonparametric kernel estimation
View Projectbipartite
December 6, 2018 – December 17, 2018
All network code for two mode segmentation in bipartite networks and benchmarks
View ProjectdynERGM_R
November 6, 2018 – October 15, 2022
All R code for Time Evolving Community Detection using Hidden Markov Models in ERGMs and Clustering through Temporal ERGMs
View ProjectdynERGM_C
November 6, 2018 – December 14, 2018
This repository contains dynERGM C code in different packages for different dynamic network models.
View ProjectGeoNet
November 6, 2018 – November 6, 2018
Statistical Analysis of Environmental Big Data: Detecting polluters in a river network
View ProjectclustERGM_App
November 6, 2018 – November 6, 2018
Shiny Application demonstrating community detection in the International Trade Network in 1990
View ProjectCultural Fit Analysis
The candidate's projects are highly focused on academic/research-oriented statistical modeling and network analysis, primarily using R and C++. While this aligns with a data scientist role, the diversity of applications and exposure to broader industry tools (e.g., Python, SQL, cloud platforms, big data technologies) is limited. The projects are all personal, which provides limited insight into collaborative work environments or alignment with typical corporate cultural values. The future-dated experience at Meta offers no current cultural fit data.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's projects are primarily personal and do not provide insights into collaboration, communication, or problem-solving in a team context. The single listed work experience at Meta is future-dated, offering no current or past performance data.