Parth Shah Email & Phone Number

Moncton, New Brunswick, Canada

Halifax, Nova Scotia, Canada

• Expertise in utilizing cutting-edge deep learning techniques to address medical data challenges using PyTorch and PyTorch Lightning. Proficient in implementing a variety of machine learning algorithms, including linear.
• Successfully managed and processed an extensive 7TB of unstructured medical data, parsing and summarizing contradictory metadata which resulted in an impressive 47% reduction in processing time, optimizing data.
• Led the implementation and comparative analysis of diverse predictive neural network models, namely Autoformer, NLinear, DLinear, Fedformer, and LSTNets. These models were utilized to accurately predict crucial.
• Developed and fine-tuned advanced algorithms to estimate delay time, analyze irregularly sampled, and non-stationary wave data.
• Implemented various statistical techniques to manipulate the data like missing data imputation, principal component analysis, sampling and t-SNE for visualizing high dimensional data
• Spearheaded the development of a sophisticated web application integrating OpenCV and Flask, designed to analyze DICOM files uploaded by users. The application effectively calculates the volume of the heart, providing.

Halifax, Nova Scotia, Canada

• Proficiently developed, trained, and deployed advanced neural networks, including large language models (LLMs), to address diverse tasks encompassing sequence classification and text summarization. These efforts.
• Implemented machine learning and deep learning techniques for computer vision applications, with a specific emphasis on image segmentation utilizing geospatial data. The achieved average IoU (Intersection over Union).
• Devised comprehensive end-to-end natural language processing pipelines with a primary focus on extracting valuable insights from unstructured data sources, such as PDF documents, showcasing a high level of expertise.
• Developed an efficient chatbot for classifying legal documents and engaging in context-driven conversations, resulting in significant cost savings by eliminating the need for extensive legal fees.
• Proficiently crafted interactive visualizations and dynamic presentations, effectively communicating complex data insights to stakeholders, demonstrating strong communication and data storytelling skills.
• Applied advanced statistical analysis techniques to large datasets, identifying key trends and patterns that informed strategic business decisions, resulting in a 25% reduction in production costs for a manufacturing.

Antigonish, Nova Scotia, Canada

• Worked on developing a biomedical prediction software for predicting a blood test metric using arterial blood pressure. Aggregated 1000+ data tables, along with different cost metrics to ensure data integrity
• Designed a high performing Deep Learning classification model in Pytorch using raw data to identify the potential customers in a zip code. Deployed and monitored the model over Azure Machine Learning
• Built the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL.
• Worked with NLP to find correlation in the medical corpus, to classify and annotate it by using the PageRank algorithm, writing custom loss functions, and building deep learning architectures using CNNs, Self-attention.
• Coded end-to-end data pipelines for data collection, data wrangling, data engineering, feature engineering and building deep learning models using LSTMs and CNNs
• Worked on predicting the salinity and water depth using satellite data for salt ponds which are distributed over very large area, implemented using neural networks algorithm in R.

Pune Area, India

• Developed and implemented data analysis, data collection systems, and other strategies that optimize statistical efficiency and quality. Acquiring data from primary or secondary data sources and maintaining databases.
• Worked closely with project managers to understand and maintain focus on their analytical needs and deliver actionable insights to relevant decision-makers.
• Developed visualization and dashboard leveraging SQL and Tableau to provide home insights into analytics. Worked on coordinating with the client team to write functions for mapping more than 15000 interfaces.
• Collaborated with cross functional teams in all stages of systems development, from requirement gathering to production go-live, and provided post-go-live support on high severity issues.
• Built data systems and pipelines, and assemble large, complex data sets that meet functional / non-functional business requirements. Created and maintained interactive visualizations through data interpretation and.

Master'S Degree, Computer Science

Bsc It, Information Technology