Vasavi CH
Business Analyst • Nashville, TN • V************@gmail.com • +16******309 • drivetube.ai/•••••
Professional Summary
Business Analyst with 3.5 years of experience leading enterprise-scale digital transformations and data-engineering initiatives for consulting clients in financial services, healthcare, and CSR programs. Strong technical experience with Python, SQL, Apache Spark, Airflow, Azure Synapse and Google Cloud Platform; designed ETL pipelines and data quality frameworks to enable downstream analytics and regulatory reporting. Delivered predictive risk models and anomaly detection using Python and scikit-learn and surfaced insights through Power BI dashboards to support KYC/AML and operations teams. Expert at translating business strategy into BRD/FRD/PRD, defining KPIs and acceptance criteria, and coordinating Agile delivery with engineering partners. Owned AI/LLM integration scoping and secure data-handling requirements for OpenAI-based solutions through go-live and hypercare.
Technical Skills
Programming Language: Python,SQL
Databases: Azure Synapse
Cloud Platforms: Google Cloud Platform,Microsoft Azure
Testing & QA: User Acceptance Testing
Data Engineering & Processing: Apache Spark,Apache Airflow
Data Analysis & Visualization: Power BI
AI/ML Frameworks & Libraries: scikit-learn,OpenAI API
Data Integration & ETL: ETL
Compliance & Governance: Data Quality
Project Management & Collaboration: Agile,Scrum,Stakeholder Management,Sprint Planning
Process Modeling & Documentation: BPMN
Product Management: PRD
Work Experience
Bain & Company
Atlanta, GA
Business Analyst
Jun 2024 – Present
Consulting engagement designing AI and cloud-enabled transformations for enterprise clients; supported scoping, requirements and secure integration planning with engineering teams and Google Cloud partners.
Tech Stack: Google Cloud Platform, OpenAI API, BPMN
- Analyzed client operations to identify and prioritize Generative AI use cases, mapping AS-IS and TO-BE processes with BPMN to clarify automation scope and downstream data needs.
- Translated business requirements into technical roadmaps for AI rollouts on Google Cloud Platform, specifying data access patterns, integration points, and enterprise security controls for engineering teams.
- Piloted OpenAI API integration designs by defining prompt flows, input/output schema, and data-retention constraints to meet enterprise data governance requirements.
- Conducted capability gap analyses on AI talent and operating model, defining role profiles and retraining curricula to enable sustainable model governance and handoffs.
- Developed detailed functional requirements, acceptance criteria and KPI definitions for workforce retraining and AI adoption programs to measure readiness and impact.
- Coordinated scope, technical requirements and delivery milestones with senior leadership and external engineering partners to align sprint backlogs and go-live plans.
Cognizant
Hyderabad, India
Associate Business Analyst
Jul 2021 – Dec 2022
Delivery and impact reporting for large-scale CSR and healthcare programs; served as data liaison between corporate teams, NGOs, and hospital networks to operationalize reporting and program KPIs.
Tech Stack: Power BI, SQL, Excel
- Defined program KPIs and designed data collection frameworks to measure career outcomes for women and persons with disabilities, standardizing metrics across geographies.
- Managed operational datasets and acted as primary data liaison between corporate teams, local NGOs and hospital networks to streamline validation and reporting processes.
- Created data visualizations and final impact reports using Power BI and Excel that documented screening and treatment outcomes for over 130,200 patients.
- Consolidated two years of operational data using SQL and Excel into harmonized reports that provided the evidence base to win the 2021 CSR Impact Award for Healthcare (Large).
- Converted broad CSR targets into measurable KPIs and dashboard requirements, enabling Foundation leadership to track schedule and budget adherence.
- Implemented validation checks and root-cause analyses to improve data quality for program monitoring and compliance.
Projects
Scalable Financial Data Pipeline Platform
Tools Used: Python, Apache Spark, Apache Airflow, Azure Synapse, ETL Pipelines, Data Quality Checks
- Designed and implemented end-to-end ETL pipelines using Python, Apache Spark and Airflow to ingest, validate and transform large-scale financial transaction data for downstream analytics.
- Engineered incremental load patterns and schema-evolution strategies to support high-volume feeds while preserving data quality and auditability.
- Built automated data quality checks and alerting to detect schema drift and data anomalies prior to ingestion into Azure Synapse.
- Documented pipeline specifications and developed handoffs for analytics teams to consume standardized datasets and dashboards.
Predictive Analytics & Anomaly Detection System
Tools Used: Python, scikit-learn, SQL, Data Visualization
- Engineered predictive risk-monitoring models using Python and scikit-learn to flag settlement risks and operational outliers from historical financial datasets.
- Performed exploratory data analysis and feature engineering to surface high-impact predictors and reduce false positives in anomaly detection.
- Delivered actionable model outputs via dashboards to operations and investment teams to improve monitoring and decision-making.
Education
Central Michigan University
Master's, Computer Science • Mt. Pleasant, Michigan • Jan 2023 – May 2024
Malla Reddy Institute of Technology
Bachelor's, Computer Science • Hyderabad, India • Aug 2017 – Jul 2021
Certifications
Microsoft Certified: Power BI Data Analyst Associate (PL-300) — Microsoft
IBM Data Analyst Professional Certificate — IBM
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