Darshan Kurali

Data scientist who builds complete pipelines — from SQL extraction through EDA, modeling, evaluation, and deployment. Delivered an 18% RMSE improvement in time-series forecasting, a 22% precision gain in a recommendation engine, and 87% accuracy in a fine-tuned NLP classifier. Proficient in Python, SQL, Scikit-learn, TensorFlow, and PyTorch. Seeking an entry-level Data Scientist role.

Data Science Intern at Prinston Smart Engineers (2026-02 – 2026-05)

• Applied feature engineering, hyperparameter tuning, and k-fold cross-validation to improve model accuracy by 15% across predictive modeling tasks.
• Automated Python-based data workflows end-to-end, reducing manual processing time by 20% and improving consistency of model outputs.
• Worked within an agile team, using Git for version control across iterative model development cycles.

B.E. in Artificial Intelligence & Data Science – KLE College of Engineering & Technology, Chikodi (2022 – 2026)