Sanjay Khobragade Email & Phone Number

Wayne, Pa, Us

Responsible for end-to-end productionisation and deployment of machine learning models at scale at Huntington Bank. Working closely with data scientists to refine models and ensure they are optimized for production. Responsible for maintaining and improving Huntington’s MLOps infrastructure, automating deployment pipelines, and ensuring compliance with IT and security standards. Playing critical role in image management, vulnerability remediation, and the deployment of ML models using modern infrastructure-as-code practices.

Philadelphia, Pennsylvania, Us

Owner of Neura Health Inc. Consulting as Dataiku Administrator for Enterprise Advanced Analytics Teams. Responsibilities include working closely with cross-functional teams of business partners, data scientists, data engineers, solutions, and data architects to quickly deliver scalable Artificial Intelligence (AI) solutions. Development, deployment, and maintenance of scalable AI solutions including the optimization of data queries, Python code refactoring, shared library usage and documentation of process and solution artifacts. Research and promote Cloud, ml and data latest technologies, design patterns and best practice delivery models that drive optimal business value and ensure continuous improvement of team, processes, and platforms. Partner with business stakeholders and AI project teams to clearly understand business requirements; design and develop scalable AI solutions and promote their benefits back to business partners with an emphasis on value. Subject Matter Expert (SME) on best usage of the teams’ global data science platform driving MLOps processes and reducing the cost of scalable AI delivery for business partners. Drive MLOps expertise through management and governance of Machine Learning Platform Dataiku.

Montvale, Nj, Us

Development of core Big Data utilities within the Strategic Data Platform (SDP) organization at Financial Bank Client site. Responsible for managing data coming from multiple source systems and involved in HDFS maintenance and loading of structured, unstructured data and Kafka for broadcasting the logs generated using Spark streaming. Apache Spark SQL for querying for a better performance.Extensive utilization of Sqoop for importing metadata from Relational Dbs, building code using Pysparkfor advanced procedures like text analytics and processing, using the in-memory computing capabilities of Spark. Working with large datasets using Partitions, Spark in Memory capabilities, Broadcasts in Spark, Effective & efficient Joins, Transformations and other during ingestion process itself.

Philadelphia, Pennsylvania, Us

At Neura Health, we are working on making Medical Imaging available to the world population who can’t either access it or afford it. We are a team of doctors, software engineers and data scientists working on building innovative AI products for Healthcare Medical Imaging Industry for COVID-19, Breast Cancer and Skin Cancer detection using Deep Learning Neural Network techniques. Our goal is to build innovative AI products using latest IT tools available and augment Medical Professionals, Clinicians and Radiologists with AI capability to increase their productivity and reduce time and cost for the patients. The AI models are built using publicly available AI Models and Imaging datasets curated and annotated by world renowned Radiology experts. Our recent AI model is called NeuraCovid and is used to predict COVID-19 and Pneumonia classification from Chest X-ray Image. Our Breast Cancer AI model is called NeuraDetect and is used to detect breast density, screening BI-RADS and Breast Cancer classification from Mammography Images. NeuraDerm is AI Model built to detect Skin Cancer from Dermoscopy Images.

Durham, North Carolina, Us

Technology Solutions division of IQVIA develops and markets healthcare-focused enterprise software applications including Master Data Management, CRM, Multi-channel Marketing, Content Management, Social and Compliance solutions. The Digital Office leads the transformation of the Technology Solutions product portfolio and is developing a micro-intelligence platform bringing a layer of smart services to Technology Solutions’ software offering called “Ada”. Ada’s micro-intelligent services use machine learning, natural language processing and deep learning techniques as appropriate, and relies on a big data layer.I was responsible to design, develop, test and maintain the data layer of Ada. I worked with a team of data scientists to define the data architecture, and software developers and Docker engineers to build the infrastructure and the solution. Data and Machine Learning pipelines are built using Apache Airflow and run on Kubernetes cluster pods.

Mclean, Va, Us

Lead a team of big data engineers to build a serverless data application for Capital One Retail Bank Data Engineering Group to feed customer segmentation (K-Means Clustering) machine learning model. Data pipelines are built using AWS S3, Lambda, transient EMR using Python and Apache Spark. Data pipelines are on-boarded to CICD platform using GitHub, Jenkins, S3 and CHEF Cloud orchestration. Previously, developed and deployed production Redshift Cluster for the Retail Bank.

Mclean, Va, Us

Created a culture of continuous improvement within the team. Continuous coaching of the team and stakeholders around the team to realize their highest potential. Fostered open communication and transparency through building trust within teams. Facilitated other team members facilitate Scrum ceremonies.

Sydney, Nsw, Au

Developed multiple ETL applications for the ING DIRECT Online Bank using Informatica ETL tool and loading into Oracle and SQL Server Relational data warehouse. Lead team of ETL Application Developers to provide solutions for Sales and Customer Service organization.

South Plainfield, New Jersey, Us

Stamford, Ct, Us

Master Of Science (Ms), Chemical Engineering

Bachelor Of Technology (B.Tech.), Chemical Engineering