Radhika MONPARA

Planned digital marketing initiatives aligned with brand and business objectives and published daily creative content across social platforms. Ran targeted campaigns and tracked leads, conversions, and performance to optimize engagement and lead generation.

Designed cloud-based ML pipelines on GCP for deep learning model training at scale. Built model evaluation and data drift detection frameworks, and developed bias management and fairness evaluation workflows for regulated environments.

Translated AI/ML research into commercial product strategies and technical roadmaps for regulated-market clients. Bridged data science outputs with business requirements to support delivery of client-focused outcomes.

Curated ML-ready datasets (image, audio, and text) for European AI startups and ESA under GDPR frameworks. Managed end-to-end data pipeline quality across agriculture and remote sensing domains.

Architected back-end infrastructure integrating ML/LLM capabilities for geospatial analysis. Built client-facing analytical tools to support geospatial decision-making.

Built predictive ML models for semiconductor R&D using classification, regression, and ensemble methods. Produced statistical reports and model performance dashboards, achieving double-digit % accuracy gains through hyperparameter optimization and regularization.

Implemented CNN and spectral-spatial deep learning models for hyperspectral imaging and conducted ablation studies. Validated model components to improve performance and interpretability.

Built and benchmarked supervised and unsupervised time series models. Implemented models using Scikit-Learn and TensorFlow to compare performance across approaches.

M.Sc. in Computer Science for Aerospace with an AI/ML specialization.

B.E. in Computer Engineering.