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Machine Learning Engineer
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Akrivia Automation Pvt. Ltd.
Machine Learning Engineer
June 13, 2026 – Present
Wiki-IR-ChatBot
December 28, 2021 – January 2, 2022
A ChatBot that can respond with humans by retrieving information directly from Wikipedia
View ProjectJane-Street-Market-Prediction
December 27, 2021 – December 27, 2021
Kaggle Competition | Jane Street Market Prediction
View ProjectConversational-AI-ChatBot
December 26, 2021 – December 30, 2021
Intelligent ChatBot built with Microsoft's DialoGPT transformer to make conversations with human users!
View Projectruddit-comments
November 13, 2021 – November 15, 2021
Ruddit Comments extracted from Reddit using Python Web Scraper PRAW
View Projectbirds
November 8, 2021 – February 25, 2022
Photographs of Birds for Multi-target Images Classification
View ProjectStructuredData
September 16, 2020 – December 19, 2021
Machine Learning and Time series analysis with Tabular Data
View ProjectComputerVision
September 16, 2020 – December 19, 2021
My notebooks on Image and Video Processing
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and academic in nature, focusing heavily on Machine Learning. While this aligns with the target role, the lack of diverse project types (e.g., collaborative, production-oriented, or cross-functional) and a single current professional experience (with a future start date) limits the assessment of broader cultural fit and adaptability. The experience level is 0, which suggests a very junior profile for a 'Machine Learning Engineer' role, potentially indicating a mismatch for senior-level expectations.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The psychometric test score is 0, indicating no completed assessment.