Neel Shah Email & Phone Number

Los Angeles, CA, US

Baltimore, Maryland, United States

• Architected and built scalable ETL pipelines using Apache Spark and Kafka to integrate high-volume market data from trading platforms, ensuring real-time data availability for portfolio managers and analysts.
• Developed and deployed machine learning models using TensorFlow and AWS SageMaker for predictive analytics, enhancing decision-making and operational efficiency.
• Utilized Amazon Aurora for high-performance, scalable database management, enabling seamless handling of complex queries with PostgreSQL compatibility.
• Implemented message-driven data pipelines with Apache Kafka to handle real-time streaming data, enabling faster access to market information for portfolio managers and analysts.
• Utilized distributed computing principles with PySpark to process petabyte-scale datasets, optimizing system performance for high-frequency trading analytics.
• Integrated SQL databases like PostgreSQL for financial data management, ensuring seamless querying and data consistency across services.

United States

Bengaluru, Karnataka, India

• Spearheaded the design of predictive models using Random Forest and XGBoost algorithms for healthcare analytics, delivering actionable insights for healthcare providers.
• Utilized Hadoop and MapReduce to process and analyze large-scale healthcare data, enhancing operational efficiency for hospitals.
• Integrated MongoDB for unstructured healthcare data management, ensuring efficient storage and retrieval of patient records.
• Developed RESTful APIs using Flask to facilitate communication between data models and healthcare providers, ensuring fast and secure access to predictive insights.
• Leveraged Docker and Kubernetes for containerization, streamlining the deployment of machine learning models and data processing services.
• Led unit testing efforts to ensure the accuracy and reliability of healthcare predictive models, using Python's unit test and pytest frameworks.

Ahmedabad, Gujarat, India

• Built highly responsive and user-friendly interfaces using HTML, CSS, and JavaScript, enhancing the user experience for healthcare professionals.
• Created and integrated high-performance APIs with FastAPI, ensuring seamless communication between front-end applications and backend services.
• Managed data storage and retrieval systems using MySQL, optimizing database queries for fast access to medical records.
• Followed Agile project management practices, working in close collaboration with cross-functional teams to deliver the platform on time and within scope.

Ahmedabad, Gujarat, India

• Utilize NumPy for efficient numerical computations and array operations, leverage Pandas for easy data manipulation and analysis with structured datasets.
• Use try-except blocks to handle exceptions and ensure the robustness of applications in the face of errors.
• Use PySpark for distributed data processing, allowing efficient handling of large datasets and enabling scalable data transformations.
• Familiarity with Agile methodologies to participate effectively in sprints, stand-ups, and iterative project development.

Master Of Science - Ms, Computer Science

Bachelor Of Engineering - Be, Computer Engineering