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AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
mlops-lead-scoring
July 31, 2025 – July 31, 2025
A full-stack Lead Scoring System using GCP + OSS. Built for the MLOPs and ML System Design Blog Series.
View Projectboston-house-pricing
December 18, 2022 – December 18, 2022
boston-house-pricing — GitHub repository
View ProjectLoanStatus_LogisticRegression
June 5, 2020 – June 5, 2020
LoanStatus_LogisticRegression — GitHub repository
View ProjectMachine-Learnig-with-Scikit-Learn
April 18, 2020 – May 1, 2020
Machine Learning Algorithms implemented using Scikit Learn
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong focus on Machine Learning and MLOps, indicating a potential fit for roles requiring these specific skills. The diversity of projects, while concentrated in ML, suggests an ability to explore different facets of a domain. However, the lack of professional experience or broader technical skills outside of ML/Python limits the assessment of cultural fit for a general 'Software Engineer' role.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. Psychometric test scores are 0, providing no insight.