I have an experience of over 7+ years in Platform Engineering (Data + Devops + ML), here to contribute to the open-source world.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Zepto
Data Scientist
June 16, 2026 – Present
AudienceManager
December 17, 2025 – December 17, 2025
AudienceManager — GitHub repository
View ProjectData-Pipeline-for-an-event-ticketing-platform
December 17, 2022 – December 19, 2022
Data-Pipeline-for-an-event-ticketing-platform — GitHub repository
View ProjectdataEngineeringMockInterview
September 3, 2022 – September 3, 2022
dataEngineeringMockInterview — GitHub repository
View Projectproject-evaluation-rubric
February 27, 2022 – February 27, 2022
project-evaluation-rubric — GitHub repository
View Projectzindi_paygo
June 11, 2021 – May 23, 2022
Pay-as-you-go (PAYGo) solar technology has become Africa’s most promising approach to handling the continent’s growing energy problems. The objective of this challenge is to help predict the next six months of payments for different customers. This will allow PAYGo distributors to provide appropriate services and customer support, ensuring that they can continue to provide these important devices affordably and efficiently to the benefit of people all over Africa.
View Projectwine-review-classification
June 17, 2019 – June 17, 2019
Topic Classification on varieties of wine dataset
View ProjectBank_Marketing_Campaign
February 27, 2019 – June 13, 2019
Bank_Marketing_Campaign — GitHub repository
View ProjectText-Summarization
February 25, 2019 – June 28, 2021
Jupyter notebooks for text summarization using Deep Learning techniques
View ProjectCultural Fit Analysis
The candidate's projects indicate a focus on data science and machine learning, which aligns with a Data Scientist role. The diversity of projects (text summarization, data pipelines, predictive modeling for PAYGo, wine review classification, bank marketing) suggests a broad interest within the data science domain. However, the lack of team-based projects or contributions to open-source initiatives makes it difficult to assess collaboration and broader cultural fit.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.