Chandana L

Data Scientist and Analyst with hands-on experience across the full analytics lifecycle — data extraction, EDA, feature engineering, statistical analysis, machine learning, and model deployment. Skilled in Python, SQL, and visualization tools (Tableau, Power BI) for translating data into actionable business insights. Two-time Springer Nature published researcher (INFUS 2025 & 2026), applying Deep Learning and Topological Data Analysis to real-world predictive modeling problems.

Artificial Intelligence Intern - Springer Capital - Bengaluru

(2025-05 - 2025-08)

• Developed and benchmarked ML models for business automation, covering preprocessing, feature engineering, and performance evaluation across multiple datasets.
• Engineered automated data extraction pipelines with cross-functional teams, reducing manual processing overhead and accelerating AI solution delivery.
• Researched and prototyped AI automation tools contributing to the team's roadmap, directly supporting deployment of intelligent process automation workflows.

B.Sc. (Hons) - Data Science and Analytics - MS Ramaiah University of Applied Sciences (2022 - 2026)