Sumana Samanta

Aspiring AI Engineer with a strong foundation in data science, deep learning, and MLOps, committed to designing intelligent solutions and deploying scalable AI models. Passionate about transforming cutting-edge research into practical, production-ready applications and contributing to advancements in AI-driven technologies.

Machine Learning Operations Intern - AiLABS

(2025-06 - 2025-07)

• Developed MLflow pipelines for experiment tracking and model versioning.
• Implemented A/B testing strategies with random traffic splitting and live feedback collection.
• Gained practical exposure to AI observability tools and containerization with Docker.

Data Science Intern - WEBEL

(2024-06 - 2024-08)

• Built predictive ML models using Python and Scikit-learn.
• Conducted data preprocessing, visualization, and evaluation on real-world datasets.
• Strengthened fundamentals of supervised and unsupervised learning.

Machine Learning Intern - Cotpot(Online Internship)

(2025-06 - 2025-08)

• Gained hands-on experience in developing and training machine learning models on datasets.
• Worked on data preprocessing, feature engineering, and model optimization using Python and sklearn.
• using Jupyter Notebook and PySCharm.
• Strengthened understanding of supervised learning algorithms and end-to-end ML workflows.

Business Development Associate Intern - Persevex

(2026-01 - present)

• Conducting client outreach and building relationships with potential leads through calls and messaging platforms.
• Generating and qualifying leads to support business growth and conversion strategies.
• Assisting in communication, follow-ups, and onboarding processes for new clients and candidates.
• Collaborating with the team to promote internship programs and manage campaign activities.

B.Tech. - CSE - The Neotia University (2026-05) Diamond Barbour, WB