Reservoir engineer, AI/ML, React
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Silicon-Content-Prediction
June 29, 2025 – June 29, 2025
Silicon-Content-Prediction — GitHub repository
View ProjectGraphRAG-using-Microsoft-paper
October 2, 2024 – October 2, 2024
The repo consists of code to replicate the Graph RAG paper by Microsoft
View ProjectLLM-Numerical-Reasoning
July 8, 2024 – July 16, 2024
LLM-Numerical-Reasoning — GitHub repository
View ProjectTimeseries-Inversion
February 11, 2024 – February 11, 2024
Timeseries Inversion to convert differenced timeseires back to original
View ProjectTable-detetection-and-table-structure-recognition
April 5, 2023 – April 5, 2023
Table detetection and table structure recognition
View ProjectCustom-NER-Classification
January 14, 2023 – January 15, 2023
Custom NER Classification with BERT and Spacy
View Projectsimplilearn-IBM-masters-program-for-ML
October 19, 2022 – October 19, 2022
simplilearn-IBM-masters-program-for-ML
View ProjectSucker-Rod-Pump-Dowhole-Dynagraph
January 26, 2022 – January 26, 2022
Sucker Rod Pump Dowhole Dynagraph from surface plots
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and academic in nature, indicating a strong drive for self-learning and exploration in data science. However, the lack of team-based projects or professional experience makes it difficult to assess collaboration and broader cultural fit within an organizational setting. The projects align well with a Data Scientist role, but the breadth of technologies used is somewhat limited.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.