Neel Shah Email & Phone Number

New York, Ny, Us

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.• Employed Git for version control and collaborative development, enabling continuous integration and deployment through Jenkins pipelines.

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