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Building Industrolearn
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Industrolearn
Data Scientist
June 24, 2026 – Present
canvasa-tutor-react
May 5, 2026 – Present
Embeddable AI Tutor — React landing + button + API client. Host-themed via CSS variables. Used by olympiz.ai, superstem.ai, fermi.ai.
View Projectkubetools_data
May 26, 2024 – March 12, 2025
Temporary repository to store tools ranking data for kubetools resource scanner
View Projecttime_series_framework
February 16, 2022 – March 10, 2023
This framework automates the modeling of critical signals using multiple training algorithms to find the most accurate prediction model by finding the best correlation with other available signals. Additionally, it inferences live signal data and predicts critical signals using the best model generated previously. It compares the predicted and the actual signal value to raise warnings if anomaly is detected.
View ProjectCultural Fit Analysis
The candidate's projects show a mix of data science and web development interests. While 'time_series_framework' and 'llm-playbook' align with a Data Scientist role, 'canvasa-tutor-react' and 'temp-ats' indicate a broader, less focused technical interest. The current experience as a Data Scientist at Industrolearn is a positive, but without details on responsibilities or achievements, it's hard to gauge depth. The overall project diversity is good, but the direct alignment with a senior Data Scientist role is moderate without more specific project details.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. Psychometric test scores are 0, providing no insight.