Souparna Choudhury

AI Engineer

https://www.opentalent.in/souparna-choudhury

Maynaguri, indiaMember since June 27, 2025

Key Strengths

Strong academic background in Computer Science and Engineering, demonstrating foundational knowledge.
Expressed passion for Artificial Intelligence, Machine Learning, Deep Learning, and Data Science, aligning with the target role.
Proficiency in Python and essential AI/ML libraries/frameworks including Numpy, Pandas, Matplotlib, Tensorflow, Keras, and LangChain.
Practical experience with Large Language Models (LLMs) through projects using Google Gemini 1.5 Pro and LangChain.
Hands-on application of various ML algorithms (SVM, KNN, Naïve Bayes, ANN, clustering) in project contexts.
Demonstrated ability in data analysis, Exploratory Data Analysis (EDA), feature engineering, and evaluating model performance using metrics like precision, recall, F1-score, and confusion matrix.
Experience in developing Streamlit-based web applications, showcasing the ability to build user-facing AI tools.
Certification from TCS ION: IIT Kharagpur AI4ICPS Certificate Programme, covering industry-level AI applications, ML workflows, deep learning, transformers, computer vision, and fine-tuning.
Project portfolio is highly relevant for an AI Engineer role, indicating practical skills despite an entry-level experience profile.

Cultural & Operational Fit

Cultural Fit Analysis

The psychometric test score of 0 indicates a critical lack of demonstrated cultural fit and work attitude in the assessment. No objective data is available to assess logical reasoning, stress handling, or team collaboration through the provided assessment results.

Soft Skills & Operational Fit

The resume lists soft skills such as Adaptability, Growth Mindset, Open to feedbacks, and Communication Skills. However, the psychometric test score of 0 and English test score of 0 provide no objective validation for these claims, making an assessment of operational fit impossible based on the provided test data.

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

Strong academic background in Computer Science and Engineering, demonstrating foundational knowledge.
Expressed passion for Artificial Intelligence, Machine Learning, Deep Learning, and Data Science, aligning with the target role.
Proficiency in Python and essential AI/ML libraries/frameworks including Numpy, Pandas, Matplotlib, Tensorflow, Keras, and LangChain.
Practical experience with Large Language Models (LLMs) through projects using Google Gemini 1.5 Pro and LangChain.
Hands-on application of various ML algorithms (SVM, KNN, Naïve Bayes, ANN, clustering) in project contexts.
Demonstrated ability in data analysis, Exploratory Data Analysis (EDA), feature engineering, and evaluating model performance using metrics like precision, recall, F1-score, and confusion matrix.
Experience in developing Streamlit-based web applications, showcasing the ability to build user-facing AI tools.
Certification from TCS ION: IIT Kharagpur AI4ICPS Certificate Programme, covering industry-level AI applications, ML workflows, deep learning, transformers, computer vision, and fine-tuning.
Project portfolio is highly relevant for an AI Engineer role, indicating practical skills despite an entry-level experience profile.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit