User details
SAI KIRAN NANDIPATI
@sai_kiran_nandipati_54lovj4wp
Data Scientist
North Edison, NJ, United States
1Follower11Following0Mutual0Post
Member since: Jan 22, 2025Hi there 👋 ,Thanks for stopping by to visit my Linkedin Profile
I am Sai Kiran Nandipati, a recent graduate with a Master's degree in Computer Science with a minor in Data Science from Illinois State University. I am passionate about building innovative solutions at the intersection of software development, data science, and health informatics. With hands-on experience in developing scalable applications, designing predictive models, and analyzing complex datasets, I strive to leverage technology to solve real-world challenges and enhance user experiences.
Throughout my academic and professional journey, I have worked on cutting-edge projects, including healthcare prediction models, emergency department efficiency analysis, and responsive web applications. My expertise spans programming languages like Python, Java, and JavaScript, and frameworks such as Spring Boot, React, and Angular, along with experience in cloud platforms like AWS.
I am also skilled in data analysis and adept at visualizing insights using tools like Tableau and Power BI.
I thrive in collaborative environments, where my strong problem-solving skills, adaptability, and growth mindset can truly shine. I am eagerly awaiting an opportunity to demonstrate my capabilities in the industry and the unique value I can bring to your team. Whether in a leadership role or as a dedicated team member, my focus is on delivering impactful solutions and fostering innovation. I am actively seeking opportunities to further advance my career as a Data Scientist, Data Analyst, Software Engineer, or Machine Learning Engineer, contributing to meaningful projects and driving success.🤩
• Developed and enhanced skills in data analysis and processing from over 1 million electronic
health records, utilizing SQL for database manipulation.
•Collaborated with the Ochsner research group, applying computational methods to healthcare and medicine. Designed research pipelines integrating with complex clinical and non-clinical data sets for machine learning prediction models.
• Managed and hosted data analysis projects on cloud environments(N3C), utilizing Apache Spark
with Python and SQL to develop advanced analytics pipelines.
• Applied supervised and unsupervised machine learning techniques on complex healthcare
datasets to enhance predictive modeling accuracy and efficiency.
•Developed predictive models using supervised machine learning, improving prediction accuracy by 15%, reducing error rate by 20%, and enhancing R² score by 45% over existing models. Implemented classification models (Random Forest, SVM, XGBoost, Logistic Regression), achieving 90% accuracy in categorizing metrics.
•Produced detailed reports and Jupyter notebooks on Natural Language Processing (NLP) and machine learning pipeline algorithms, while deepening expertise in the OMOP Common Data Model and OHDSI tools through consistent participation in faculty meetings.
• Developed an interface with a stock price data feed using JPMorgan Chase frameworks.
• Visualized data for traders to make informed decisions remotely.
• Leveraged remote work environment to collaborate effectively with team members.
• Developed RESTful APIs and implemented microservices architecture using Spring Boot, integrating Kafka for message brokering to ensure scalable, secure, and efficient service interaction.
• Built responsive Single Page Applications (SPAs) with AngularJS, leveraging HTML, CSS3, Bootstrap, and JSON to deliver seamless user experiences and dynamic data binding.
• Collaborated with clients and business analysts to gather requirements, participated in project planning, and coordinated with team members through regular meetings.
• Performed ETL processes using tools like Informatica PowerCenter, transforming and loading data into data warehouses, optimizing mapping parameters, and creating synonyms, views, and stored procedures for improved performance.
• Prepared technical design documents, created deployment checklists, and managed deployments while resolving defects during various testing phases.
• Followed organizational policies and best practices, fostering strong interpersonal relationships, and engaged in continuous learning through training and certifications.
• Contributed to project documentation and reporting, ensuring transparency, accountability, and effective project management.
As a Software Engineer at Cognizant, I contributed to the development of RESTful APIs, microservices, and responsive web applications, while leveraging tools like Spring Boot,Angular,HTML,CSS for efficient and scalable solutions. My experience includes hands-on work with ETL processes, technical documentation, defect resolution, and deployment management, ensuring project success through collaboration, attention to detail, and adherence to best practices.