Arupa Das

Python / SQL – CrateDB Intern

https://www.opentalent.in/arupa-das

bhubaneswar, indiaMember since October 14, 2025

Key Strengths

Based on the resume, the candidate demonstrates foundational skills in Python and SQL, which are directly relevant to the target intern role.
Experience in data processing, cleaning, and pipeline development is evident from internships at Deep Matrix and Prodigy Infotech, where the candidate handled large datasets and collaborated with ML teams.
Practical project experience in Machine Learning, Deep Learning, and Natural Language Processing (NLP) is showcased through projects like CrickPredict (DNN for score prediction), YouTube Chatbot (RAG-based system), and Scientist Profile Analyzer (scraping, NLP for disambiguation).
Familiarity with key ML/DL frameworks (TensorFlow, PyTorch, Scikit-learn) and data manipulation tools (Pandas, Selenium, LangChain) aligns with modern data and ML engineering practices.
Strong academic record (high percentages in school) suggests a high aptitude for learning and academic rigor.

Cultural & Operational Fit

Cultural Fit Analysis

Insufficient data due to a score of 0 on the psychometric test, making it impossible to assess logical reasoning, work attitude, stress handling, or team collaboration based on the provided assessment results.

Soft Skills & Operational Fit

Based on the resume, the candidate has demonstrated collaboration skills through teamwork in both internships and cross-functional project work. Attention to detail is implied by data cleaning and processing tasks. The 'Areas of Interest' suggest curiosity and a proactive learning attitude. However, these observations are not validated by any assessment data, as the psychometric test score is 0.

AI is analyzing your overall score…

Identifying your key strengths…

Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Key Strengths

Based on the resume, the candidate demonstrates foundational skills in Python and SQL, which are directly relevant to the target intern role.
Experience in data processing, cleaning, and pipeline development is evident from internships at Deep Matrix and Prodigy Infotech, where the candidate handled large datasets and collaborated with ML teams.
Practical project experience in Machine Learning, Deep Learning, and Natural Language Processing (NLP) is showcased through projects like CrickPredict (DNN for score prediction), YouTube Chatbot (RAG-based system), and Scientist Profile Analyzer (scraping, NLP for disambiguation).
Familiarity with key ML/DL frameworks (TensorFlow, PyTorch, Scikit-learn) and data manipulation tools (Pandas, Selenium, LangChain) aligns with modern data and ML engineering practices.
Strong academic record (high percentages in school) suggests a high aptitude for learning and academic rigor.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit