Machine Learning Engineer
Propty
Total years of experience :1 years, 11 Months
Created database Prototype and structure for real estate app
Optimized raw material supply chain to balance costs, efficiency, and quality Developed ordering schedules and sourced affordable materials
Child Rights & You
Grew business opportunities and revenue through sales strategies Created persuasive proposals tailored to prospective clients
Pepper
Managed 300-700 person workflow, improving productivity 15% Delivered successful client projects aligning needs and quality
Insulin-Tracking App: Utilized Optical Character Recognition (OCR) and Ensemble Learning models for nutrient data interpretation, applying Gradient Boosting for insulin intake recommendations with 80% accuracy in dietary suggestions. Pneumonia Detection via CNN: Deployed Convolutional Neural Networks (CNNs) with Transfer Learning from pre-trained models for enhanced feature extraction in chest radiographs, achieving 95% diagnostic accuracy. Healthcare Emergency Predictive Model: Applied Time Series Analysis and ARIMA models on Google search trend data to predict emergency healthcare trends, facilitating preemptive resource allocation. NLP Chatbot: Developed using Recurrent Neural Networks (RNNs) and Transformer models for deep linguistic pattern learning, achieving nuanced conversational emulation.