Saiteja Abbu

Data professional with a demonstrated history of working in research and software industries with a total combined experience of 9+ years in the areas of Data Management, Data Engineering, Data Architecture, Data Analytics, Data Science and Computer Science.

Research Scientist 4 - Data Management at New York State Psychiatric Institute (2022-12 – 2026-04)

• Work with principal investigators and research teams on data management proposals and needs, including support around grant and protocol development.
• Develop data models, warehouses and integrations which support large international research projects.
• Review legacy data models and designs to support efficient analysis and transformation using modern technologies.
• Develop processes and procedures for automated and secure data sharing using web APIs with Django.
• Structure and support transforming data into business intelligence.
• Manage secure exchange, integration and transfer of healthcare records and data using standards-based technologies like FHIR.

Computational Science Analyst I - Mitra lab at Cold Spring Harbor Laboratory (2019-02 – 2022-12)

• Develop, enhance and support python scientific web applications and dashboards using Django on premise and on AWS.
• Research on different machine learning algorithms and image analysis techniques being implemented and used in Neuroscience research and come up with novel algorithms and techniques which can be used to solve the scientific problems.
• Perform scientific data processing, integration, analysis and visualization tasks on petabyte scale whole brain images.
• Generate summary reports and visualizations of the processed data from the data pipeline by querying various databases.
• Manage, optimize and automate high performance computational data pipeline.
• Enhance and support the existing custom-built high resolution image viewer and full stack web portal.

Graduate Assistant Developer - Data Analytics at Center for Technology in Government, University at Albany SUNY (2018-08 – 2018-12)

• Performed Cleaning, transforming, integrating and visualizing unstructured data from different data sources using python.
• Analyzed, evaluated and provided meaningful and novel insights from the unstructured data sets.
• Implemented statistical and machine learning methods on different variables for the processed datasets.

Master Intern - NSIP (Data Science & Analytics) at Pacific Northwest National Laboratory (2018-06 – 2018-08)

• Developed an Android mobile application which works offline and predicts the health condition of an individual through real time face detection. Integrated the offline trained Tensorflow ML model into our app.
• Implemented cropping of the detected facial image on the fly for re-training of the machine learning model for improving prediction accuracy.
• Worked as a multicultural team and successfully delivered the product to our sponsor under the guidance of a senior data scientist, software engineer and ux expert.

Associate Software Developer - Product Development at Vistex Asia-Pacific Pvt.Ltd (2015-05 – 2017-07)

• Developed REST API's and integrated customized dashboards to visualize ROI on client's data using Vistex software solutions according to the client requirements. Currently those applications are being deployed and used by those fortune 500 companies.
• Responsible for end-to-end development, integration, testing and support of few data centric full stack web applications. Gained good knowledge on the entire workflow of full stack web applications.
• Seamlessly integrated Java REST API, SAP Fiori, D3.js and AngularJS applications using back-end and front-end technologies.

Project Intern - Research and Development at National Remote Sensing Centre, ISRO (2014-12 – 2015-04)

• Visualization of Image data using open source tools and did statistical analysis on merged data.
• Merged different global ocean color products in HDF data format using techniques such as binning and averaging.
• Studied the dynamics of algal blooms using statistics, machine learning and Image Analysis techniques.
• Identification of regions with potential improvement in global ocean color coverage.

Master of Science in Computer Science – University at Albany, State University of New York (2017-08 – 2018-12)

Bachelor of Technology in Computer Science and Engineering – Mahatma Gandhi Institute of Technology (2011-08 – 2015-05)