Data Scientist with a Master’s degree in Data Analytics and over two years of professional experience specializing in the design and implementation of cloud-based machine learning pipelines, computer vision models, and n…
Data Scientist with a Master’s degree in Data Analytics and over two years of professional experience specializing in the design and implementation of cloud-based machine learning pipelines, computer vision models, and natural language processing systems. Proficient in Python, machine learning, computer vision, NLP, and GCP, including Vertex AI. Demonstrated success in reducing inference latency, enhancing search accuracy, and expediting diagnosis processes. Seeking to apply my Data Science and MLOps expertise to develop robust, scalable data solutions.
• Independently and collaboratively designed and operationalized cloud-based machine learning pipelines on GCP, focusing on efficient storage solutions, Docker-based model training, and service endpoints for scalable inference.
• Significantly reduced inference latency and improved image similarity search accuracy for fraud prevention by engineering computer vision models using OpenCV, TensorFlow/Keras, and PyTorch, coupled with FAISS-based vector indexing.
• Enhanced text data analysis by developing and fine-tuning NLP models with BERT and Hugging Face Transformers for sentiment analysis, text classification, and keyword extraction, achieving high accuracy and performance.
• Developed a keyword extraction model for medical predictive analysis, enabling faster, more accurate diagnosis and treatment recommendations, and reducing manual annotation time by 80%.
• Collaborated with cross-functional teams to create a comprehensive testing suite for Ethical AI practices, focusing on the responsibility and sustainability of data solutions, including developing sustainability tests using the Cloud Monitoring API of GCP.
Independently and collaboratively designed and operationalized cloud-based machine learning pipelines on GCP, focusing on efficient storage solutions, Docker-based model training, and service endpoints for scalable inference.
Significantly reduced inference latency and improved image similarity search accuracy for fraud prevention by engineering computer vision models using OpenCV, TensorFlow/Keras, and PyTorch, coupled with FAISS-based vector indexing.
Enhanced text data analysis by developing and fine-tuning NLP models with BERT and Hugging Face Transformers for sentiment analysis, text classification, and keyword extraction, achieving high accuracy and performance.
Developed a keyword extraction model for medical predictive analysis, enabling faster, more accurate diagnosis and treatment recommendations, and reducing manual annotation time by 80%.
Collaborated with cross-functional teams to create a comprehensive testing suite for Ethical AI practices, focusing on the responsibility and sustainability of data solutions, including developing sustainability tests using the Cloud Monitoring API of GCP.
Utilized advanced data analysis to develop forecasting reports, aiding strategic decision-making and financial planning.
Managed comprehensive month-end financial assessments, pinpointing critical data trends and areas for operational enhancement.
Provided strategic financial insights by evaluating payment strategies and feasibility, leading to optimized financial tactics.
Oversaw payroll and maintained strict adherence to tax regulations, showcasing precision and meticulousness in sensitive data management.
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