Machine Learning Engineer
Current• Merit of working at Fyllo and spearheading the data team, mentoring interns and FT employees. • Mentoring teams in developing various remote sensing indices such as NDVI and LAI, and integrated a dashboard to display features like crop classification and land cover for user-selected regions, along with satellite imagery for multiple indices.• Played a pivotal role in utilizing OpenCV, created a feature that takes a PDF or image as input extracts all the tabular data, and exports it to… Show more • Merit of working at Fyllo and spearheading the data team, mentoring interns and FT employees. • Mentoring teams in developing various remote sensing indices such as NDVI and LAI, and integrated a dashboard to display features like crop classification and land cover for user-selected regions, along with satellite imagery for multiple indices.• Played a pivotal role in utilizing OpenCV, created a feature that takes a PDF or image as input extracts all the tabular data, and exports it to a readable format.• Created a Named Entity Recognition model using SpaCy and NLTK to extract specific entities from sentences, annotating thousands of records to create the training data.• Utilized Artificial Neural Networks (ANNs) and XGBoost to create machine learning models for predicting various weather fields, achieving 90% accuracy and 80% recall for rainfall predictions. Resulting in onboarding new customers and enhanced farming efficiency. • Successfully developed several APIs using Flask, leveraging threading, encapsulation, and inheritance to ensure speedy responses and low computation costs. • Conceptualized and formed an algorithm to detect anomalous weather data using statistical methods (Z-score, clustering, IQR and correlation calculation.) Show less
