Balasubrahmanyam Estamsetty

Designing the nation-wide data infrastructure and analytics with which the Netherlands will create eXtra Resilient (XR), sustainable, and climate-adaptive crops by adopting a smart data approach.

• Designing and implementing scalable and secure data architectures.
• Leading the development of data systems and infrastructure.
• Collaborating with cross-functional teams to align data strategies with business goals.
• Overseeing data integration, storage, and management processes.
• Ensuring data governance, quality, and compliance.
• Evaluating and selecting appropriate technologies and tools.
• Optimizing system performance and troubleshooting issues.
• Driving innovation through advanced data analytics and insights.

• Designed and developed Metadata ingestion connectors for various data sources like CRM, AzureSQL, On-premise SQL, Azure data lake, Dataverse, Sharepoint, and PowerBI which require technical insight as well as strong collaboration with the data source owners and administrators.
• Handled business function data requests in challenging scenarios ranging from mass data mutation to supporting business with A.I. which required both data skills across different domains, but also the ability to connect with business functions to understand their demand and being able to translate into a data solution and with the data solution agreed, facilitated the development of the solution.
• Initiated and supported the Data Councils in the Data Quality improvement initiatives, which are initiated by a business project or by the data councils, which involved data analytics. Based on the analytics, mass data mutations are prepared and validated. these analytics are performed and are used as input to the Data Councils for decision-making.
• As part of this role, I continually inform and inspire stakeholders on new data technologies, both addressing existing business challenges as well as providing improvements fit for the organization to become more effective and efficient.
• Leveraged cloud-based platforms to manage big data storage while maintaining scalability and accessibility of information assets.
• Ensured compliance with industry regulations and data privacy standards, mitigating risks associated with sensitive information handling.

• Chairman Global Work council
• Core member of the roll-out of global data governance tooling (Collibra).
• Developed Internal ChatGPT tool with Azure OpenAI
• Established and secured enterprise-wide data analytics structures.
• Designed data models for complex analysis needs.
• Managed identification, protection, and use of data assets.
• Created detailed specifications documentation to effectively communicate information architecture requirements to development teams and business teams.
• Collaborated with system architects, design analysts, and others to understand business and industry requirements.
• Collaborated with cross-functional teams to ensure seamless integration of information architecture into overall product design.
• Mentored junior team members on best practices in information architecture, fostering a culture of continuous learning within the team.
• Developed database architectural strategies at modeling, design, and implementation stages to address business or industry requirements.
• Managed project timelines and deliverables while ensuring high-quality results throughout the entire process.
• Defined success metrics for measuring the effectiveness of implemented changes in information architecture designs over time.
• Conducted comprehensive user research to identify areas for improvement in existing information structures.
• Optimized search functionality by implementing effective metadata strategies and keyword tagging.
• Conducted AI Hackathon and workshops on Machine learning and Data science for the various departments in the organization

• Prototyped machine learning applications and quickly determined application viability.
• Designed and developed ML products using Azure ML systems, created customized applications for meat consumption across different geographical zones, to make critical predictions, automate reasoning and decisions, and calculate optimization algorithms.
• Optimized machine learning models by implementing advanced algorithms and feature selection techniques.
• Enhanced data quality with thorough preprocessing, cleaning, and transformation tasks, leading to more accurate model predictions.
• Optimized machine learning pipelines and computational resources deployment strategies resulting in reduced processing times.
• Collaborated with cross-functional teams to integrate machine learning solutions into existing software systems, streamlining processes and boosting productivity.
• Coached teams on topics of data science, Machine learning, and AI
• Core member of the initial stage of the tool selection team and roll-out of global data governance tooling (Collibra).

• Enhanced data-driven decision-making by implementing machine learning models and algorithms.
• Presented complex findings in a clear, concise manner using visualizations that informed executive decision-making processes.
• Conducted thorough exploratory data analysis to identify essential variables for building robust models.
• Established rigorous validation procedures for model accuracy assessment, ensuring the reliability of predictions generated by machine learning algorithms.
• Conducted feature engineering efforts to enhance model performance by creating new relevant variables from raw input data sources.
• Mentored junior team members in best practices for data science methodologies, fostering a culture of continuous improvement.
• Evaluated emerging technologies to assess potential applications within the organization's existing infrastructure or future projects.
• Automated repetitive tasks using scripting languages such as Python, saving time during the analytical process significantly.
• Participated actively in interdisciplinary teams' work integrating domain knowledge from marketing, sales, or finance departments into the analytical process and collaborated cross-functionally with stakeholders, ensuring alignment on key initiatives and project goals.
• Translated business requirements into data-driven solutions, providing value-added insights by implementing advanced statistical techniques for accurate predictive modeling and forecasting of business metrics, that directly contributed to the organization's strategic goals.

• Using Hive to extract and load data on a day-to-day basis as per the requirements of Data Scientists and Researchers.
• Develop Extract, Transform and Load (ETL) pipelines for the applications.
• Improve the speed and efficiency of the existing queries.
• Exploring and updating data needed for innovation department and researchers.
• Using Apache NIFI develop data ingestion systems.
• Collect and load data from the open data systems to the Hadoop data lake.
• Data cleaning and loading of large data sets using python.

• Upgraded the User Interface issues of Mobius project of SDE which is used to implement parametric modelling in a web application.
• Provided continued maintenance and development of bug fixes and patch sets for Mobius web application.
• Designed and developed Hot Desking web application which is used to visualize the School of Design and Environment.
• Implemented the web-app in MVC architechture using AngularJs, D3, jQuery, Bootstrap and other libraries
• Implemented different forecasting principles to solar Radiance and PV system performance to augment the current state of practice.
• Performed data mining, assessing and comprehensive analysis.
• Performed validation and testing of Forecasting models to ensure adequacy and reformulate
  models as necessary.
• Perform routine Data collection and Data cleaning tasks and support quantitative work
  with datasets.
• Test and check Solar Panels according to Singapore standards specifications.
• Take corrective action to restore and/or maintain quality standards.
• Optimized research processes by implementing innovative engineering techniques and methods.
• Verified and documented results, and escalate anomalous or invalid results to managerial staff.
• Developed Projection Mapping project using programming language C++ and libraries OpenCV, GL, SDL.
• Supervised undergraduate students working on research projects.
• Documented procedures and results with a high degree of accuracy and precision.
• Recorded data and maintained source documentation following good documentation.

• Improved overall class participation by implementing group activities and project-based learning.
• Collaborated with fellow teaching assistants to create a consistent and supportive learning environment for students.
• Provided one-on-one tutoring sessions for struggling students, leading to increased understanding and improved grades.
• Designed and implemented engaging classroom activities, resulting in higher student interest and motivation.

• Improved system performance by implementing efficient software solutions and optimizing existing processes.
• Worked on Support and Maintenance of BPCL logistics application.
• Provided continued maintenance and development of bug fixes and patch sets for the application.
• Implemented automation of server reports.
• Implemented new features in the application as per client requirements.
• Supported on-site deployment and Employee Demos.