Sudarshan Pal

Computer Science undergraduate (2027 batch) specialising in Machine Learning, Deep Learning and Natural Language Processing, with hands-on experience building and deploying end-to-end ML systems in Python. Completed a 45-day Deep Learning research internship at NIT Rourkela, delivering a hybrid LSTM/CNN/BiLSTM/Transformer model for text-based personality classification. Comfortable across the full ML workflow — data preprocessing, feature engineering, class imbalance handling, model training, evaluation and Streamlit-based deployment — and additionally skilled in full-stack web development with the MERN stack.

Seeking Machine

Learning / Data Science roles where analytical rigour and rapid prototyping create measurable impact.

Deep Learning Research Intern at NIT Rourkela (2025-01 – 2025-02)

Selected for a 45-day research internship at National Institute of Technology, Rourkela, working on a hybrid deep learning system for personality trait classification from textual data.

• Applied NLP techniques for text preprocessing and feature extraction, then designed, trained and evaluated LSTM, CNN, BiLSTM, Transformer and hybrid architectures in Python and TensorFlow.
• Documented comparative model performance and presented findings on architecture trade-offs between accuracy, training time and generalisation.

Web Development Intern at YHILLS (2024-06 – 2024-07)

Completed a 4-week virtual internship building responsive web applications using HTML5, CSS3, JavaScript and React.js.

• Delivered real-world front-end modules with reusable components and cross-device responsive layouts, gaining hands-on experience in component-based UI development.

B.Tech in Computer Science and Engineering – GIET University, Gunupur (2023-08 – 2027-06)

Senior Secondary in CBSE (Class XII) – Deepika English Medium School, Rourkela (2023-01 – 2023-06)

Secondary in CBSE (Class X) – Deepika English Medium School, Rourkela (2021-01 – 2021-06)