
Living a life of data exploration for a living and adventure-seeking backpacking for the thrill.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
J.P. Morgan
Data Scientist
June 29, 2026 – Present
ai-sdk-starter-xai
July 11, 2025 – July 11, 2025
AI SDK Starter project with Next.js 15, React 19, and XAI integration
View Projectkenpom-version2
February 17, 2025 – February 17, 2025
kenpom-version2 — GitHub repository
View ProjectSequenceDataLoader
August 9, 2023 – August 14, 2023
SequenceDataLoader — GitHub repository
View ProjectMatrix-Imputation-Uncertainty-Quantification
May 16, 2023 – July 21, 2023
Estimating Uncertainty in Low-Rank Matrix Imputation Methods developed as part of my research for MIT(in partnership with Liberty Mutual)
View ProjectAdvancedLandCoverAnalytics-Pipeline
March 2, 2023 – June 9, 2024
Project objective: Use satellite & GIS data, socio-demographic indicators to quantify urbanization rate. Analysis will inform JPMorgan's client base, support existing hubs, and identify new opportunities.
View ProjectMIT-Shuttle-Service-Optimization-Project
October 14, 2022 – July 21, 2023
Optimization project repository.
View ProjectNo-Action-Email-Prediction-Model
October 5, 2022 – July 13, 2023
Employing NLP models and stacking methodology to predict no-action emails for CMA CGM.
View ProjectHigh-Frequency-Traders
February 22, 2021 – July 21, 2023
This Python repository contains code for the classification of High Frequency Traders (HFT) as part of a challenge organized by AMF (Autorité des Marchés Financiers). The code includes machine learning models and techniques to classify HFT entities based on provided data.
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong inclination towards data science and machine learning, aligning with a Data Scientist role. The diversity of projects, from financial market analysis to land cover analytics and email prediction, indicates a broad interest in applying data science to different domains. However, the candidate's experience level is listed as 0, and the only professional experience is a future role at J.P. Morgan starting in 2026, which suggests a very early career stage. This might impact immediate cultural fit for a senior role requiring extensive industry experience and established collaboration patterns.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The psychometric test score is 0, indicating no completed assessment for these areas.