Summary
Overview
Work History
Education
Skills
Awards
Timeline
Generic

Bharath Nandan D S

Senior Data Analytics Manager
Bangalore

Summary

Looking for a promising & challenging career which will enable me to provide best of my Technical, analytical & professional skills. A career which can sharpen my current skills and Knowledge and where I can have a good scope for learning and implementing new technologies.

Data analytics professional with substantial experience in transforming complex data into actionable insights, optimizing processes, and driving business initiatives. Highly reliable team player known for adaptability and delivering consistent results in dynamic environments. Skilled in statistical analysis, data visualization, and fostering effective collaboration to meet strategic objectives.

Overview

11
11
years of professional experience
1
1
Language

Work History

Senior Data Analytics Manager

ANZ Bank
07.2024 - Current
  • As a Senior Data Analyst Manager, I single-handedly designed and implemented the complete process architecture for one of the bank’s most strategic transformation programs: migrating customers from Classic systems to Cloud platforms. This required deep data expertise, architectural thinking, and hands-on ownership across the full lifecycle—from customer identification to cohort management, blocker analysis, and migration execution. I developed a scalable and rule-based framework that classified customers into cohorts based on readiness, blockers, and product relationships. The system was built to handle real-time updates, exceptions, and product-level interdependencies across the bank’s portfolio—spanning deposits, lending, cards, investments, and digital products. To validate the design and ensure the architecture was robust, I created a comprehensive dummy data environment using Python, simulating real-world customer-product scenarios, blockers, and exceptions. This effort received strong appreciation from senior stakeholders as it allowed the entire architecture to be stress-tested and reviewed before real data was available. As a result, once the real data was ingested, the transition was smooth and required almost no changes to the original architecture—ensuring faster time-to-execution and minimal rework. Tools and Technologies Used:
  • Starburst (Trino): Leveraged for federated SQL queries and large-scale data analysis across multiple environments.
  • Google Cloud Platform (GCP): Used extensively for processing, storage (BigQuery), and orchestration.
  • Google Cloud Storage (GCS): Managed raw, transformed, and final output datasets for different stages of the migration lifecycle.
  • Apache Airflow: Built and maintained DAGs to automate ingestion, transformation, cohort generation, and tracking pipelines.
  • Python: For automation, data simulation, and testing of the architecture with synthetic data prior to production rollout.
  • Key Contributions:
  • End-to-end ownership: Conceptualized and executed the migration strategy independently, building from scratch.
  • Customer cohorting logic: Developed intelligent, rule-based segmentation of customers based on readiness, blockers, and migration waves.
  • Architecture simulation using dummy data: Built a highly realistic mock environment using Python, validating logic and flows pre-deployment, which minimized production changes and earned senior stakeholder trust.
  • Developed credit risk score using behavioral and demographic data to support lending decisions.
  • Cross-product impact modeling: Mapped customer-product dependencies to reduce migration risk and enhance customer experience.
  • Governance & tracking: Designed dashboards and reporting layers for progress monitoring, blocker resolution, and migration health metrics.
  • Developed credit risk score cards using behavioural and demographic data to support lending decisions.
  • Collaboration & compliance: Worked with business, tech, and compliance teams to ensure secure, Privacy Act–compliant migration operations, following the Australian Privacy Principles (APPs) to safeguard personal customer data throughout the migration lifecycle. This role demanded a unique blend of strategic thinking, technical execution, and business alignment. My work directly enabled a faster, controlled, and insight-driven customer migration, reducing risk and improving collaboration across business and technology

Data Analytics Manager

ANZ Bank
01.2023 - 07.2024
  • Spearheaded data-driven initiatives to support product strategy, performance optimization, and customer insight generation within the Deposit Products division of retail banking.
  • Conducted in-depth analysis across savings, current, and term deposit portfolios, combining business intelligence with technical rigor to drive strategic decision-making.
  • Managed the end-to-end analytics lifecycle—including data extraction, transformation, visualization, and advanced reporting.
  • Delivered actionable insights on customer behavior patterns, fee and pricing structures, product performance trends, and marketing campaign effectiveness.
  • Partnered closely with cross-functional teams, including product, finance, compliance, and engineering, to align analytics with business objectives.
  • Played a critical role in the modernization of the bank’s data platform, leading efforts in the migration from Teradata to Starburst.
  • Validated business-critical datasets, optimized complex legacy SQL queries, and reengineered data pipelines to suit distributed architecture frameworks.
  • Ensured data consistency, quality, and availability throughout the transition, minimizing disruptions and enabling scalable analytics.
  • Established the foundation for self-serve analytics capabilities post-migration, enhancing efficiency and accessibility for business users.
  • Utilized SQL (Teradata, Presto/Starburst) extensively for querying, along with Tableau, Power BI, and Excel for data visualization.
  • Automated reporting workflows and conducted sophisticated data analyses using Python, boosting operational efficiency.
  • Maintained strict compliance with data governance policies and regulatory standards, ensuring data integrity and ethical usage.
  • Contributed directly to enhanced product visibility, more targeted customer engagement strategies, and the broader digital transformation goals of the organization.

Data Scientist

05.2020 - 01.2023
  • End to end creation of interactive dashboards based on the business requirement with 6 second insights. (Using Power BI and Tableau)
  • Creating the Data Model with the accurate cardinality.
  • Clustering the customer data to provide the good business insights (Using ML Clustering algorithms, Python)
  • Time Series predictions for sales and inventory forecasting. (Using Python)

Business Analyst

10.2018 - 05.2020
  • Inventory Planning and forecasting. (Using Python)
  • Sales, Sales Visits and Product Promotor KPI and sale conversion.
  • Freight Regularization and cost saving methods.
  • Orders Consolidation for efficient handling.
  • Per Capita sales research.
  • Process Automation for FTE and Error reduction.
  • Inventory Discrepancies and their Dollar Impact to Organization.

Reporting Analyst, WFM and SME Process Tools

09.2015 - 10.2018
  • Generating the reports, scheduled as well as ad hoc reports to the process managers as well as to the clients with maximum accuracy and within the time frame using Sales Force CRM.
  • Observing the case volume trends and updating the process managers about the scope of improvement and anomalies in the regular flow of the process using Sales Force CRM.
  • Generating daily MBF (Management by Facts) and keenly noting performance of different teams located in different sites on a daily basis.
  • Conducting Operations call (daily Huddle) with all the process managers and director of the process and updating about the previous day and current day SL and ongoing MIs if any.
  • Generating Agent score cards and updating agents about their daily, monthly performance
  • Creating and using Dashboards and reports to portray the Customer Care performance on daily, weekly and monthly basis using Sales Force CRM.
  • Scheduling the agents and updating their schedules on WFM (Impact 360 by Verint) and approving exceptions based on the situation and generating reports to monitor the schedule adherence.
  • Handled many case reduction projects using Sales Force CRM.

Team Leader Escalations Manager and ILC

03.2015 - 09.2015
  • Managed a team of 15 new engineers where I was responsible for their performance and their deliverables to the organization.
  • Pioneered the Escalations Management Team (setup on my request to the Operations Management Team) where I was fully responsible to setup the team which would handle Customer Escalations (Hierarchic).
  • Responsible for reducing the backlog cases and manage functional and hierarchic escalations.
  • Streamlined the functional escalations process by identifying the issues which would take longer resolution time and involve multiple PC reboots.

Technical Support Engineer

HP
12.2014 - 03.2015
  • As a Technical support engineer focused on continual improvement on language skills, Customer Satisfaction and on improving technical acumen.
  • Based on performance was awarded employee of the month many times and was selected to be a part of Accelerated Leadership Program (Leadership Training conducted for top quartile performers to enhance leadership and people management skills).

Intern

Honda Motors
06.2014 - 12.2014
  • Assist the safety engineers with the CAD and other simulations. Inspecting and testing vehicles (Electronic panels) recording information and writing reports.
  • Analysis following the crashes and accidents and creating necessary documentations for the safety engineers.
  • Analysis on the internal electronics and thoroughly understanding the feedbacks received from each vehicle in the fault trigger reporting systems and reporting back to the design team if any design changes are required.

Education

M. Tech - Data Science and Machine Learning

PES University
08.2025

BE - Electronics & Communication

T John Institute of Technology
01.2014

Senior Secondary - undefined

Sri Bhagawan Mahaveer Jain College
01.2010

Matriculation - undefined

National High School
01.2008

Skills

Proficient in analytics tools and techniques : R, Python, Predictive analysis, Tableau, QlikView, MongoDB, ETL development, Advanced analytics, Starburst, Teradata, Airflow, GCP, GCS, Knime ,Machine learning ,Real-time analytics ,Predictive modeling ,Data warehousing ,Business intelligence ,Big data processing ,Data integration ,Python programming ,SQL programming ,Big data technologies

Awards

  • Multiple-time "Employee of the Month" awardee for exceptional all-round performance, consistently exceeding performance and quality metrics.
  • Selected for the prestigious Accelerated Leadership Program, an exclusive initiative for top-performing employees focused on developing leadership and people management capabilities.
  • Commended by process managers and the director for delivering consistently accurate, timely, and business-critical reports that supported operational excellence.

Timeline

Senior Data Analytics Manager

ANZ Bank
07.2024 - Current

Data Analytics Manager

ANZ Bank
01.2023 - 07.2024

Data Scientist

05.2020 - 01.2023

Business Analyst

10.2018 - 05.2020

Reporting Analyst, WFM and SME Process Tools

09.2015 - 10.2018

Team Leader Escalations Manager and ILC

03.2015 - 09.2015

Technical Support Engineer

HP
12.2014 - 03.2015

Intern

Honda Motors
06.2014 - 12.2014

BE - Electronics & Communication

T John Institute of Technology

Senior Secondary - undefined

Sri Bhagawan Mahaveer Jain College

Matriculation - undefined

National High School

M. Tech - Data Science and Machine Learning

PES University

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