Dhanyashree M V

Final-year B.E. (AI & ML) graduate from DSCE Bengaluru (CGPA 9.0/10) with hands-on experience building and deploying cloud-integrated AI/ML solutions across the full lifecycle from data analysis and model development to production deployment via FastAPI, Docker, and MLflow. Skilled in Python automation, REST API development, and designing scalable pipelines on GCP. Built end-to-end projects spanning multi-agent RAG systems, computer vision, and predictive analytics served on cloud infrastructure with real-time capabilities.

Google

Cloud certified, with a strong drive to continuously upskill across Cloud, and Applied AI technologies.

Research & ML Intern at CSIR: National Aerospace Laboratories (NAL)

• Developed a data-processing workflow for aircraft structural health monitoring using strain signal data.
• Implemented ASTM E1049-85 Rainflow counting with exponential smoothing in Python; tracked algorithm performance across parameter variations to improve fatigue cycle accuracy.
• Generated and validated fatigue spectra for reliable RUL estimation maintained reproducible, version-controlled scripts and structured analysis documentation throughout.
• Conducted exploratory data analysis on strain signal datasets to identify trends, noise patterns, and anomalies before model input.

Data Science Intern at The Developers Arena

• Built an end-to-end data science workflow: data cleaning, EDA (Pandas, Matplotlib, Seaborn), feature engineering, and ML model development using Python.
• Designed a production ML pipeline using Random Forest with preprocessing and served real-time predictions via a FastAPI microservice tracked model versions and performance metrics using MLflow.
• Built an interactive Airbnb Market Explorer Dashboard (Streamlit + Plotly) with KPI cards, filters, and geospatial price maps, surfacing pricing and neighbourhood trends from raw data.

B.E. in Artificial Intelligence & Machine Learning – Dayananda Sagar College of Engineering (2022 – 2026)