Nagesh Bandaru

Associate Partner

Hyderabad, Telangana, India20 yrs experience
Most Likely To SwitchAI ML Practitioner

Key Highlights

  • 19+ years of experience in Data Science and Analytics.
  • Led AI innovations that transformed clinical trials.
  • Achieved $18M+ in cost savings through automation.
Stackforce AI infers this person is a Healthcare Data Science leader with extensive experience in AI and cloud architecture.

Contact

Skills

Core Skills

Data ScienceCloud ArchitectureAi InnovationClinical OperationsAnalyticsDevopsBusiness IntelligenceData AnalyticsData EngineeringEtl DevelopmentAutomationData AnalysisDatabase Management

Other Skills

Agile PracticesAlteryxAmazon Relational Database Service (RDS)Amazon S3AnalysisApache AirflowAzure DatabricksAzure IaaSAzure Solutions ArchitectBitbucketBusiness AnalysisBusiness Intelligence (BI)Business Intelligence ToolsBusiness ObjectsClinical Trials

About

🚀 Transforming Healthcare Through AI Innovation | 19+ Years Leading Data Science & Analytics at Global Scale As an Associate Director of Data Science & Analytics at Novartis, I drive breakthrough AI innovations that accelerate drug discovery and optimize clinical operations. My passion lies at the intersection of cutting-edge technology and life-changing healthcare outcomes. 🧠 AI & GenAI Leadership I've pioneered enterprise-scale GenAI implementations that have transformed clinical trials. From deploying autonomous AI agents for ECRF processing to building Analytics Command Centers, I'm leading AI innovation for patients worldwide. Key innovations: GenAI integration reducing clinical trial cycle times by 25% Agentic AI systems autonomously processing documents and providing intelligent summaries LLM-powered platforms serving 500+ research scientists globally ML pipeline automation frameworks accelerating predictive analytics 📊 Strategic Impact & Global Leadership Leading 30+ data scientists and ML engineers across multiple time zones, I've delivered measurable value: $18M+ cumulative cost savings through intelligent automation 40% improvement in analytical productivity across R&D teams 1000+ users empowered through self-service analytics platforms Innovation COE driving Conversational AI, streaming analytics, and blockchain adoption 🌍 Global Experience International implementations across Amsterdam, Birmingham, Paris, and Pleasanton. Valid US B1 VISA with Fortune 500 best practices establishment. 🛠️ Technical Excellence Azure Solutions Architect specializing in: Enterprise AI/ML platforms (TensorFlow, PyTorch, MLOps) Hybrid multi-cloud architectures (Azure, AWS, OpenShift) Big Data ecosystems (Databricks, Spark, Kafka, Snowflake) DevOps/DataOps with Infrastructure as Code 🏆 Innovation & Thought Leadership Recognized for AI-driven clinical optimization and digital transformation. Subject matter expert for AI/ML in healthcare, advising on GenAI implementation strategies. 📈 What Drives Me Data science isn't just about algorithms—it's about accelerating treatments from lab to patient. Every optimization potentially brings life-saving treatments to patients faster. 🤝 Let's Connect Excited to discuss AI innovations in healthcare, data science leadership, or global team scaling. Open to advisory opportunities and strategic partnerships.

Experience

20 yrs
Total Experience
5 yrs
Average Tenure
6 yrs
Current Experience

Novartis

Associate Director - Data & Analytics

Jun 2020Present · 6 yrs · Telangana, India

  • Ability to view the big picture and implemented technical architectures that are modifiable, dependable and scalable by working with product managers, technical architects, domain architects, business analyst and enterprise architects
  • Designed architectures for IaaS, PaaS, and SaaS applications appropriate for the workloads (Operating Systems, applications and databases), transaction volumes, performance goals and security concerns
  • Designed Azure based Hybrid cloud architecture and migrated data heavy applications
  • Work with teams to design a full-stack solution using software that fully integrates with company’s existing cloud infrastructure from data flow, security, DevOps, and other standpoints
  • Evaluating tools and technologies to determine their suitability for reporting requirements within the budget constraints
  • Evaluate and demonstrate the POCs on the new tools, as well as the potential benefits and drawbacks
  • Serve as a subject matter expert for the business, cloud architects, and leadership teams
  • Migrate on-premises legacy systems to a cloud-based technological architecture to save money and enhance performance
  • Create an end-to-end solution design that adheres to IT standards and norms in order to assure scalability, stability, and resiliency, including conceptual, logical, and physical components
  • Using Terraform and Azure ARM Templates, develop and aid in IAC (Infrastructure as Code)
  • Connect different technology components such as Git, Jenkins, Jfrog Artifactory, SonarQube, Pytest, JIRA X-Ray, and others to implement or guide DevOps (CI/CD)
  • Created a technical flow for the ELT pipeline using AWS infrastructure such as S3, Databricks/Spark, Snowflake, Airflow, RDS, and Axway (MFT), among others
  • Implementation of Azure Blob Storage / AWS S3 for big data workloads
  • Implemented Streaming Analytics by using Kafka on HD Insights, Dataflows and Power BI
  • Created solutions like Data Marketplace, One Data - One Source and Self Service BI
Azure Solutions ArchitectInfrastructure as CodeDevOpsData AnalyticsCloud ComputingData Science+1

Optum

2 roles

Senior Manager - Data & Analytics

Promoted

Jun 2018Jun 2020 · 2 yrs

  • Azure Cloud Architect
  • Architected & Implemented Public Cloud Infrastructure in highly distributed environment.
  • Experience in architecting and designing technical solutions for Microsoft-centric solutions based on industry standards using Azure IaaS, PaaS and SaaS capabilities.
  • Conduct current state assessment of infrastructure framework to identify gaps and recommend solutions.
  • Point of contact between offshore implementation team and functional experts to convert business needs into reporting solutions.
  • Design the IAC (Infrastructure as code) modules and implement using Terraform and ARM Templates.
  • Define CI/CD Strategy for building and deploying the resources.
  • Led DevOps Development using Github, Jenkins and Terraform Integration.
  • Designed and configured Azure Virtual Networks (VNets), subnets, Azure network settings, DHCP address blocks, DNS settings, security policies and routing, NSG’s (Layer 4 Access Control Lists (ACLs)), Firewall Appliances (Layer 7 Security models)
  • Deployed Azure IaaS virtual machines (VMs) and Cloud services (PaaS role instances) into secure VNets and subnets.
  • Designed VNets and subscriptions to conform to Azure Network Limits.
  • Exposed Virtual machines and cloud services in the VNets to the Internet using Azure External Load Balancer.
  • Develop workloads using HDInsight, Data Factory, Azure Data lake, Azure Postgresql and Blob storage
  • Create dataflows in PowerBI to leverage direct connection to Azure Data Lake/HDInsight
Azure IaaSPaaSSaaSTerraformDevOpsCloud Architecture

Business Intelligence Architect

Jun 2017Jun 2018 · 1 yr

  • Leading 29 Members High-Performance BI Team and Driving the Delivery
  • Architecting new BI systems and applications for the customers
  • Manage the Customers and Internal Stakeholders
  • Demonstrate POC’s and MVP’s using new Tools and Technologies
  • Implement Agile Practices and improve the solutions for Time to market
  • Participate in design sessions and propose the solutions based on the existing system functionalities
  • Design Reporting solutions using open source technologies like MEAN (MongoDB, Express Js, Angular and Node Js), D3.Js, Chart.js etc.
  • Review and Define Metrics and Measures for the reporting solutions
  • Design and Develop the ETL Architecture
  • Conduct CBA (Cost Benefit Analysis) and Propose the new tools set to help reduce cost to the customer
  • Design and Develop the Data feeds for Analytics teams
  • Design and Driving the Migration Strategy for On-Premises Bigdata systems to Azure Cloud
  • Involve in Sprint, PI and Release Planning Activities
  • Plan and Monitor the Teams Velocity and Backlog items
  • Manage the Time Reporting and Productivity of the team
Business IntelligenceAgile PracticesETL ArchitectureOpen Source TechnologiesData Analytics

Steelwedge (now part of e2open)

3 roles

Associate Manager

Jul 2015Jun 2017 · 1 yr 11 mos

  • Managed a ten-person team of ETL developers and automation engineers
  • Design and Architect data processing framework for clients' high-level workloads
  • Conduct design sessions and make recommendations for prospective feature implementations
  • Demonstrated proof of concepts on different business intelligence tools like tableau and power bi
  • Manage many customers in the portfolio and make sure the team's priorities are set
  • Assist team members in addressing challenges by working closely with them
  • Providing knowledge transfer to the team in areas of competence and encouraging functional and technical growth
  • Always follow Win-Win strategy
  • Motivate team members and provide positive insights to them
  • Work with passion, dedication and commitment
ETL DevelopmentData Processing FrameworkBusiness Intelligence ToolsData EngineeringBusiness Intelligence

ETL Architect

Promoted

Jun 2013Jul 2015 · 2 yrs 1 mo

  • Design extract, load and transform (ELT) components and process flow using Hive, Python and Pig
  • Experience in importing and exporting data using Sqoop from HDFS to Relational Database Systems and vice-versa.
  • Develop, validate and maintain HiveQL queries.
  • Designed Hive tables to load data to and from external files.
  • Using Hive and Pig to perform ETL tasks in Hadoop
  • Involved with ingesting data received from various relational database providers, on HDFS for analysis and other big data operations.
  • Create analysis of source systems, business requirements and identification of business rules.
  • Develop, support and maintenance for the ETL (Extract, Transform and Load) processes using DTS/Adeptia/Hive/Pig
  • Worked on complex mappings, mapplets and workflow to meet the business needs ensured they are reusable transformation to avoid duplications.
  • Extensively used ETL to transfer and extract data from source files (Flat files and SQL Server) and load the data into the target database/Hadoop.
  • Document Mapping and Transformation details, user requirements, implementation plan and schedule.
  • Designed and developed efficient Error Handling methods and implemented throughout the mappings. Responsible for Data quality analysis to determine cleansing requirements.
  • SQL querying for Data Analysis and wrote, executed, performance tuned SQL Queries for Data Analysis & Profiling. Extracted business rule and implemented business logic to extract and load SQL server using T-SQL
  • Create different feature execution flows and workflows to load the data to Data Warehouse using Adeptia Workflow Manager.
ETL ProcessesData Quality AnalysisSQLData EngineeringETL Development

Automation Specialist

Apr 2012Jun 2013 · 1 yr 2 mos

  • Automate the tasks through Python, VBA scripting
  • Dashboards creation in Excel VBA
  • Use VBA to connect to MS-Access, SQL Server for dashboard preparations
AutomationVBADashboard CreationData Analysis

S&p capital iq (india) private limited

3 roles

ETL Developer / Team Leader

Promoted

Jun 2010Apr 2012 · 1 yr 10 mos

  • Created custom ETL exports for the customer by using DTS packages
  • Analyzed the requirements and framed the business logic for the ETL process
  • Exporting and importing data using Export/Import utilities.
  • Configure the DTS Packages for required ETL transmissions
  • Involved in data cleansing to facilitate efficient data transfer between various environments.
ETL DevelopmentData CleansingSQLData Engineering

SQL Developer

Jul 2007Jun 2010 · 2 yrs 11 mos

  • Extensive experience in SQL query writing and stored procedures creation.
  • Generating the Monthly Reporting Deck by using the SQL queries
  • Created data checks jobs in SQL Server to capture the reporting data and have logics to filter bad data in the system.
  • Write T-SQL procedures automate the data calculations and extractions based on customer requirements
  • Scheduled Jobs using SQL Server Job Agent, to run the batch files. Send the automated mail to Manager and team members.
SQL Query WritingStored ProceduresData AnalysisDatabase Management

Automation Engineer

Jun 2006Jul 2007 · 1 yr 1 mo

  • Extensive experience in automation of tasks through VBA
  • Created Management Dashboards through Excel VBA
  • Created Interactive Excel Plug-in to capture the data from SQL Server and Web interface to find the differences
  • Created tool in VBA to calculate maturity date, cumulative interest rate for the bonds, debentures and other fixed income securities based on the inception date and the number of installments to redeem.
  • Created Excel Add-in to facilitate different options to analyze data in the spread sheet with respect to fixed income securities for the customer requirements
AutomationVBA

Education

Andhra University

M.com — Accounting

Apr 2004Apr 2006

AGL College

Bachelor's degree — Commerce

Jan 2001Jan 2004

Govt. Jr. College

Intermediate

Jan 1999Jan 2001

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