Anoushka Chatterjee

Bhilai, india

Since June 27, 2025

Skills

Data Visualization DesignersAI EngineersGit-GitHubPythonRemote Developers

Experience

Indian Institue of Science Education and Research Trivandrum (IISER - TVM)

ISRO Granted Project

January 1, 2025 – June 1, 2025

South Eastern CoalFields Limited (SECL - HQ)

System Department Intern

July 1, 2024 – August 1, 2024

Key Strengths

Strong foundational Python and SQL skills, validated by HackerRank certifications and practical application in projects.
Extensive experience in Machine Learning and Deep Learning, including designing and implementing complex models (U-Net, Random Forest) for real-world applications (ISRO project, predictive maintenance).
Proficiency with key ML/DL frameworks (PyTorch, TensorFlow, Scikit-Learn) and data manipulation libraries (NumPy, Pandas), demonstrating a robust technical toolkit.
Demonstrated ability in end-to-end data preprocessing, feature engineering, model training, and performance benchmarking.
Experience with Docker indicates understanding of containerization, which is beneficial for reproducible and scalable deployments.
Leadership and collaboration skills evidenced by volunteering roles as Vice President of a Coding Club and IEEE Volunteer, indicating strong soft skills for an intern.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's involvement in the Coding Club and IEEE volunteering roles highlights a proactive, collaborative, and community-oriented mindset, which generally aligns well with a positive cultural fit. The psychometric test score of 52.8% provides a neutral to slightly cautious signal regarding aspects like work attitude and team collaboration. Further assessment would be beneficial to fully gauge cultural alignment.

Soft Skills & Operational Fit

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 foundational Python and SQL skills, validated by HackerRank certifications and practical application in projects.
Extensive experience in Machine Learning and Deep Learning, including designing and implementing complex models (U-Net, Random Forest) for real-world applications (ISRO project, predictive maintenance).
Proficiency with key ML/DL frameworks (PyTorch, TensorFlow, Scikit-Learn) and data manipulation libraries (NumPy, Pandas), demonstrating a robust technical toolkit.
Demonstrated ability in end-to-end data preprocessing, feature engineering, model training, and performance benchmarking.
Experience with Docker indicates understanding of containerization, which is beneficial for reproducible and scalable deployments.
Leadership and collaboration skills evidenced by volunteering roles as Vice President of a Coding Club and IEEE Volunteer, indicating strong soft skills for an intern.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit