United States

Data Product Management

Data engineering

Data Analysis

AI/ML Engineering

AI Design

Bachelor of Science

Sanath Chilakala

Director, AI and Digital Solution Architecture

Problem-solving

Critical-thinking

Organisation skills

Leadership

Project management

Analytical skills

Advanced data analytics

AI/ML

Business intelligence

Cloud computing

Data mining

Data visualisation

Database management

Pandas

Postman

Python

Tableau

Apache Spark

Asana

Databricks

GitHub

Jira

Jupyter Notebook

GitLab

IBM SPSS

Numpy

PowerBI

REST API

MongoDB

PostgreSQL

Kafka

At the helm of Digital Transformation and AI/ ML evolution at NTT, I lead the data and analytics portfolio in delivering the Global Insurance Digital Platform. The platform is a cloud-based, digital platform and partner ecosystem that provides best-in-class consulting, partnerships, Business Process as a Service (BPaaS), third-party administration, and technological capabilities to the life and annuity Industry. Managing over 7 million policies, GIDP's componentized approach connects seamlessly via event-based APIs and is built on a strong foundation of deep industry knowledge, BPO, infrastructure, security, compliance, and automation. The ecosystem provides immediate access to our wide array of industry-leading, global, and regional partners—offering turnkey solutions across the value chain.

• Ran the data conversion program to transform client's data into the application formats including reconciliation utilizing Gen AI solutions. 
• Accomplished data strategy and road map in generating 3 million in revenue annually by boarding new clients to the data platform.
• Collaborated with Life Insurance and Finance product leaders to align technology strategy and road map with the product vision and delivered projects with effective planning, prioritization, and budgets.
• Transformed the Insurance services division’s technology operations that helped drive growth in BU revenue and margin improvement of more than 30% leading to renewal of accounts like Fidelity and Allstate and new logo large deals.
• Solutioned an original Event Management System that processes nearly 50,000 near real-time events across the digital platform with a fault-tolerant architecture, error handling, and effective notification design.
• Delivery road maps and budget planning have been meticulously created, and a returns margin of more than 30% has been consistently maintained during the last year.

Highly enthusiastic, dedicated, and professional Big Data Integration Solution Architect experienced in developing enterprise data structures and architectural designs and implementing end-to-end database solutions for Enterprise Merger and Acquisition models and pivotal provisional DataMart for Regulatory, Pharmacy, Health, and Financial analytics and reporting.

• Engineered architecture, system design, programming best practices, performance optimization, security policies, and protocols (SOX) around the EIM Big Data Ecosystems to support, and improve quality, velocity, and monetization of data assets for regulatory, financial, and operation analytics and reporting.
• Solution and architected processes for "Data as a Service" (DaaS), source data ingestion, data transformation and data loads, distributing computing Big Data applications using Spark, Sqoop, Kafka, Zookeeper, NiFi, Hive and Elastic Search on Map Reduce Hadoop.
• Spearheaded the enterprise development of Big Data Architecture Policies, Standards, Best Practices, and Data Governance for the Hadoop and Big Data environment and assisted in the development and implementation of various strategic initiatives around metadata management, master data management, automated data quality, and validation methods.
• Translated complex use cases in Medical and Pharmacy Claims, Membership, Prior Authorizations, Revenue Reconciliations, IBNR Lag triangles, Provider and Capitation data workflows and applied understanding of various technology platforms\ languages to prescribe the best-integrated data strategy for Wellcare's EIM vision. creating cost-effective data architecture designs.
• Designed data models using entity relationship diagrams, IDEF1x, and data normalization techniques up to the third normal forms relying on industry-standard methodologies STAR and SNOWFLAKE depending on the business requirements and data framework.

• Identified process improvements within the reporting areas and was able to achieve 300% increase in efficiency of report delivery.
• Working in identifying new tools and applications which can improve BI integration and better reporting automations.
• Working as an integration liaison between the EDW and reporting teams to ensure an integrated data model is created which will improve the performance of queries and faster generation of reports.
• Working on creating Data Marts which will be the core layer of data access for reporting.
• Created business cases for new project proposals.
• Designed the complete data sciences architecture from the ground with the minimal budget possible.
• Worked on many POC’s for new applications and tools.
• Working as a SME for many Data Sciences projects.
• Lead an enterprise wide PBM reports migration team of 12 people. The migration delivered around 500 reports within a span of 8 months.

•	Lead and administered a team of 25 developers, provided support with complex programming problems and recommendations for better performance tuning of code.
•	Worked on complex Regulatory Reporting research projects and/or statistical models related to project design, data collection, and analysis, summary of findings, recommendations and presentation of results on Claims, Members, Providers and Vendors.
•	Generated and automated Daily, Monthly, Quarterly, Semiannual and Annual regulatory reports for regulatory affair markets associated with 20 American states. 
•	Identified incorrect reports and generated quick resolutions with the shortest turnaround time. 
•	Used SAS data step and PROC SQL programming with extensive usage of functions, formats, informats, hash tables, date time handling and macro language/macro variables 
•	Performance tuned many complex codes and queries reducing the run times by 90% and making sure the report accuracy is 100%.
•	Created TDD, Unit Test, Code Review and Code Standards documentation templates for the developers for better coding efficiency across the team.
•	Conducted Code Reviews and Assisted in creating data mapping for the developers. 
•	Created UNIX scripts and user defined macros for easier development of reports. 
•	Created an automated decommission process to remove all unused and unwanted reports.
•	Automated many manual processes for the regulatory reporting team. 
•	Worked with a team of BSA’s in creating TSD’s, BRD’s and Data Analysis.
•	Administered and lead developers knowledge exchange meetings which are used to exchange development ideas and training on new developments.

•	Provided support for large and/or complex credit policy, risk and/or marketing projects requiring advanced analytical, quantitative and technical skills
•	Worked on Business Conduct complex research projects and/or statistical models related to project design, data collection, analysis, summary of findings, recommendations and presentation of results on acquisitions, credit limit settings, credit support system performance and account management.
•	Maintained operational effectiveness & control monitor and evaluate performance of credit support systems utilizing internal or external scoring, management software packages or programs to aid in managing account acquisition and portfolio management.
•	Ensured that account acquisition or account management systems are operating efficiently. 
•	Conducted code, test, program and implement new policy changes and/or systems for account acquisition or account management systems.
•	Generated reports for Operations team across all portfolios of Bankruptcy, Loss Mitigation and Foreclosure.
•	Conducted Analysis and adhoc queries based on the requirements from the business.
•	Experience of SAS data step programming with extensive usage of functions, formats, informats, hash tables, date time handling and macro language/macro variables

•	Provided support for SAS/ACCESS products for various databases with specialization in Teradata and Proc SQL.
•	Resolved issues with the given SLA’s and received many customer appreciations.
•	Co-ordinated with R&D in case of any defects and worked on creating hot fixes.

•	Building predictive models that identify the characteristics of the customers who had made their booking reservations with the Walt Disney Resorts using SAS Enterprise Miner and SAS Enterprise Guide.
•	Performed Statistical analysis and testing on variable parameters with datasets more than 10 million records. 
•	Performed analyses and preparation of data for analytics on the Hadoop Database.
•	Generating queries required for various operations with the business using Apache Hive.
•	Generated reports using report builder.

•	Propensity Modeling: Customer profiling and segmentation for a Fortune 500 Telecom Company. 
•	Prediction Analysis: Prediction of the winner of the 2011 ICC Cricket World Cup.
•	Database Marketing: Improvement of Big East Bank credit rejection process.

Computer software and hardware troubleshooting and software support.

Sanath Chilakala🇺🇸

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