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SAKETH RAM MAMILLAPALLI, Data Analyst and Business Analyst
SAKETH RAM MAMILLAPALLI
🇮🇳India
Created AtUpstaffer since August, 2026
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SAKETH RAM MAMILLAPALLI — Data Analyst and Business Analyst

Expertise in Data Analyst (DA) (3.0 yr.), Business Analyst (BA) (3.0 yr.).

 Last verified on August, 2026

Core Skills

SQL
SQL
3 yr.
Python
Python
3 yr.
Power BI
Power BI
3 yr.
VBA
3 yr.

AI Tools & Assistants

ChatGPT
ChatGPT
Claude
Claude

Bio Summary

  • 3.5 years in fintech and regulated banking with expertise in SQL, Python, and data governance.
  • Engineered MBR SQL reporting framework processing 55K+ on-chain transactions, adopted as single source of truth for leadership.
  • Developed fraud detection pipeline normalizing multi-account wallets across 4 chains, preserving revenue integrity.
  • Automated Finance data validation reducing manual effort by 60%, achieving zero post-production defects across 3 UAT cycles.
  • Skilled in Power BI, Apache Superset, cohort analysis, unit economics, and Agile methodologies driving data-driven decision making.

Technical Skills

Programming Languages Java, Kotlin, Python, R, VBA
AI & Machine Learning Claude
Android Libraries and Tools Kotlin
JavaScript Libraries and Tools LoopBack
PHP Frameworks Slim
Java Libraries and Tools Spring Data
.NET Platform VBA
Python Libraries and Tools Web3.py
Data Analysis and Visualization Technologies Artificial neural networks for forecasting, Business Analysis, Business Intelligence (BI), Celonis, Data Analysis, Data Lineage, Data Mining, ELT, ETL, Microsoft Azure Synapse Analytics, Power BI, Statistical Analysis, Tableau
Databases & Management Systems / ORM Data Warehousing, DBeaver, MS SQL Server Management Studio, MySQL, PostgreSQL, RDBMS, SQL
Azure Cloud Services Azure Cloud Functions, Microsoft Azure Synapse Analytics
Google Cloud Platform Google Docs
UI/UX/Wireframing 3D Modelling, Microsoft Visio, Wireframing
QA, Test Automation, Security A/B Testing, Allure Report, regression testing, Unit Testing
Project Management & Administration Acceptance Criteria, Stakeholder Management, Technical Writing
Methodologies, Paradigms and Patterns Agile, FDD, Scrum, SDLC, Solution Architecture Design, User Stories
Message/Queue/Task Brokers Apache ActiveMQ
Collaboration, Task & Issue Tracking Atlassian Confluence, Jira, Notion
iOS Libraries and Tools Core Location
Platforms ERP, Power Automate, SharePoint
Version Control Git, GitHub
Third Party Tools / IDEs / SDK / Services Power Query
SDK / API and Integrations ServiceNow API
Blockchain and Decentralized Software Web3.py
Other Technical Skills Apache superset, DATA ANALYST, Data Analytics, Data Analytics / BI, Enterprise Resource Planning, Fraud Detection & Protection, IT Business Analysis, Looker, MS Copilot, Privacy Compliance & Data Governance, Requirements elicitation

Work Experience

Data Analyst - DG3 (Prediction Market Terminal (Chainverse))

Duration: Jan 2026 – Aug 2026

Summary:

  • Developed a comprehensive analytics infrastructure for a blockchain-based prediction market terminal, processing over 55,000 on-chain transactions monthly
  • The project aimed to provide accurate, investor-grade metrics and fraud detection to support business decisions and fundraising efforts

Responsibilities:

  • Architected MBR SQL reporting framework covering 12+ key metrics across Bronze/Silver/Gold medallion architecture.
  • Designed a 4-channel acquisition attribution framework using UTM parameters for marketing spend optimization.
  • Built investor-grade Unit Economics models to analyze transaction data and support fundraising.
  • Engineered fraud detection pipelines normalizing Gmail aliases and clustering multi-account wallets.
  • Extracted and qualified trader wallet data for targeted outreach.
  • Conducted funnel and cohort analyses to identify onboarding issues and presented findings to leadership.
  • Maintained PostgreSQL medallion warehouse and designed Apache Superset dashboards for stakeholders.

Technologies: SQL, PostgreSQL, Python, Apache Superset, Dune Analytics API, DeBank, Medallion Architecture, Data Warehousing

Senior Analyst, Data Governance & Business Analyst - Equitable Bank (Finance Data Governance and Transformation)

Duration: Dec 2023 – Oct 2025

Summary:

  • Led finance data governance and transformation initiatives in a regulated banking environment, ensuring data quality, compliance, and automation of validation processes
  • Delivered dashboards and reporting solutions to improve finance operations and reduce defects

Responsibilities:

  • Owned end-to-end finance data governance including data quality controls for completeness, accuracy, validity, and timeliness.
  • Automated recurring data validation using Python and Excel VBA, reducing manual effort.
  • Built Power BI dashboards and semantic data models for finance leadership.
  • Maintained business and technical metadata and data lineage across multiple schema changes and migrations.
  • Led UAT across 3 finance transformation release cycles with extensive test case execution.
  • Translated finance requirements into BRDs, FRDs, reporting logic, and dashboards.
  • Investigated transaction-level reconciliation breaks and reduced finance close cycle time.
  • Designed Excel VBA automation saving 15–18 hours per week and maintained documentation in Jira and Confluence.

Technologies: Python, Excel VBA, Power BI, Jira, Confluence, Agile, Data Governance, Data Quality Controls

Business Analyst Intern - Equitable Bank (Finance Data Quality and Reporting)

Duration: Sept 2023 – Dec 2023

Summary: Supported finance data quality and reporting initiatives by translating requirements into data quality rules and reporting specifications, and executing testing and reconciliation activities.

Responsibilities:

  • Translated finance requirements into data quality rules and reporting specifications.
  • Executed UAT and regression testing.
  • Conducted transaction-level reconciliation with root cause escalation.

Android Developer - Vidal Healthcare TPA (BMI Prediction Module Development and Backend Migration)

Duration: Jan 2020 – Jul 2020

Summary: Contributed to the migration of backend services from Java to Kotlin and developed BMI prediction modules for healthcare users, enhancing application functionality and user experience.

Responsibilities:

  • Supported Java-to-Kotlin backend migration.
  • Developed BMI prediction modules used by over 5,000 active users.
  • Conducted integration testing and code reviews to ensure QA compliance.

Technologies: Java, Kotlin, Android Development

Education

  • MSc - Data Science and Analytics | University of Calgary, Canada
    Jan 2023 – Dec 2023
  • PGDM / MBA - Banking, Insurance and Financial Services | Institute of Public Enterprise, Hyderabad
    Aug 2020 – May 2022
  • BE - Electronics and Communication | Sathyabama Institute of Science and Technology, Chennai
    Jun 2016 – May 2020

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