Venkat Reddy Malipatel

Business Analyst - TPG, USA - USA

(2024-08)

Led Agile requirements workshops with senior stakeholders, translating revenue and pipeline challenges into KPIs, user stories, and acceptance criteria that supported 12% YoY acquisition growth
Leveraged approved enterprise AI tools and Confluence to summarize stakeholder inputs, refine BRDs/FRDs, draft user stories, improve traceability, and accelerate backlog grooming for sprint planning
Defined business rules, data requirements, and reporting logic across 120K+ won, lost, and pipeline opportunities using SQL and Excel, improving data consistency and decision readiness by 30%
Mapped AS-IS/TO-BE process flows and performed gap analysis across proposal and delivery workflows, identifying revenue leakage that improved proposal conversion by 8–10% and protected ~$700K in revenue
Conducted root cause, variance, and impact analysis with SQL, Excel, and Python across an $18M portfolio, cutting cost variance by 10% and supporting $300K–$500K in savings
Developed Power BI dashboards and AI-assisted reporting frameworks to surface pipeline trends and delivery risks, reducing manual and ad-hoc reporting by 35%
Partnered with business, data, and technical teams to define API and integration requirements, support UAT, and align Agile sprint deliverables with governance and business priorities

Business Analyst - Infosys, India - India

(2021-09 - 2023-06)

Gathered business and data requirements from banking operations, product, and IT stakeholders, translating transactions, reconciliation, and reporting needs into BRDs, KPIs, and functional requirements
Analyzed 12M+ annual digital banking transactions using SQL and Excel to validate API data flows, identify reconciliation gaps, and improve accuracy across multi-channel banking platforms
Documented business rules, acceptance criteria, test scenarios, and release dependencies for end-to-end banking API modernization, supporting on-time delivery across 10+ sprint releases within Agile and SDLC frameworks
Delivered UAT test plans, user guides, and validation checklists for digital banking applications, reducing post-production support tickets by 20% and improving enterprise adoption
Built predictive risk-scoring models to identify high-risk transaction behaviors and customer attrition patterns, optimizing fraud detection efficiency by 18% across digital banking workflows
Validated Azure-based API integrations, transaction data flows, and availability risks, enhancing system reliability and minimizing downtime across digital banking platforms
Designed Tableau dashboards and implemented QA/compliance reporting controls to monitor API performance, reconciliation exceptions, and operational KPIs, enhancing reporting efficiency by 33%

Data Analyst - Sri Kudala Sangameshwara Financial Services, India - India

(2019-05 - 2020-03)

Analyzed 10K+ loan and repayment records leveraging SQL and Excel to monitor portfolio performance, applying data cleaning and transformation to improve dataset accuracy by 25%
Developed KPI reports, dashboards (loan aging, default rate, recovery rate) in Excel, cutting insight turnaround time by 50% for portfolio reviews
Conducted cohort analysis on loan and repayment data to assess customer behavior over time, boosting retention by 15% and delivering actionable insights to non-technical stakeholders

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