Help & Supportcareers@gravityer.com
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
Face-Mask-Segmentation
May 18, 2020 – May 18, 2020
Face-Mask-Segmentation — GitHub repository
View ProjectFeature-Engineering-with-model-tunning
April 13, 2020 – April 13, 2020
Modeling of strength of high performance concrete using EDA,Feature Engineering and Visvalization (Machine Learning)
View ProjectExtraction-of-data-from-Images-by-OCR
September 4, 2019 – September 4, 2019
Tesseract Open Source OCR Engine
View Projecte-commerce-recommendation-engine
August 28, 2019 – August 28, 2019
Apparel recommendation engine with deep learning
View ProjectMarket-Basket-Analysis
May 10, 2019 – September 6, 2019
Used word2vec and Apriori association rules mining to recommend similar products
View ProjectCultural Fit Analysis
The candidate's personal projects show initiative and a self-driven learning approach, which can be a positive cultural fit. The diversity of projects (OCR, recommendation engines, segmentation, EDA) indicates a broad interest within the data science domain. However, the lack of team-based projects or professional experience makes it difficult to fully assess collaboration and cultural alignment.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.