Summary
Overview
Work History
Education
Skills
Websites
Certification
Timeline
Generic

Pranavi Gunukula

Data Analyst
Saint Louis,Missouri

Summary

Detail-oriented and collaborative data professional with 4+ years of experience supporting master data management, process optimization, and data governance within finance and shared services environments. Proven track record in SAP-driven data accuracy, ERP systems, and stakeholder engagement. Skilled at identifying data quality issues, enforcing governance standards, and driving continuous improvement in master data workflows. Adept in using Python, SQL, and BI tools for trend analysis and supporting enterprise-wide reporting structures such as cost centers and profit centers.

Overview

5
5
years of professional experience
6
6
years of post-secondary education
3
3
Certifications
3
3
Languages

Work History

Data Engineer

Bank of America
Saint Louis, Missouri
01.2024 - Current
  • Designed and implemented NLP pipelines to classify financial documents and customer feedback using supervised models, increasing document classification accuracy by 18% through fine-tuning with labeled datasets.
  • Evaluated and optimized multiple machine learning models (Logistic Regression, SVM, Random Forest), achieving a 12% improvement in predictive performance for compliance and risk alerts.
  • Developed Spark-based batch jobs for transforming large-scale financial data (>10M records/month), enabling real-time credit risk monitoring with 20% faster processing speed.
  • Maintained and validated enterprise master data across financial instruments and hierarchies, improving overall data quality by 12% and reducing reporting discrepancies.
  • Automated governance checks using Python scripts and SAP integrations, resulting in a 25% reduction in manual data validation across customer and vendor domains.
  • Collaborated with finance, risk, and IT stakeholders to enforce standardized data definitions, streamlining record-to-report (R2R) processes and reducing cross-team reporting errors by 15%.
  • Monitored data pipelines and resolved data exceptions/errors affecting SAP-based reporting.
  • Provided recommendations for optimizing SAP code block elements and supported metadata enhancements to enable audit-ready reporting.

Data Analyst

BCBS
Newark, New Jersey
01.2023 - 12.2023
  • Conducted QA testing and validated over 1 million health records and claims data for NLP-based surveillance models, improving anomaly detection accuracy by 15%.
  • Applied classification models to large-scale health metrics datasets, enhancing anomaly flagging processes and supporting user acceptance testing (UAT) that reduced false positives by 12%..
  • Documented over 20+ data transformation pipelines and assisted in deployment via Azure Data Factory, reducing manual ETL effort by 30%.
  • Designed and deployed 10+ interactive dashboards in Tableau, Python, and SPSS to visualize public health trends, enabling stakeholders to make informed decisions 25% faster.
  • Performed routine QA and cleansing of master data for providers, customers, and health metrics, increasing data reliability scores by 18% across shared services teams.
  • Led root cause analysis of data inconsistencies, contributing to 3 process improvement initiatives that improved data accuracy and reduced recurring issues by 20%.
  • Collaborated with finance and compliance departments to validate chart of accounts data, improving cost center accuracy and reporting consistency by 15%.
  • Managed over 50 process change requests using Jira and Confluence, streamlining documentation workflows and improving team coordination.

Data Analyst

Spring ML
Hyderabad, Telangana,India
08.2020 - 05.2022
  • Analyzed financial process data and delinquency trends using SQL and Python to identify common risk patterns, supporting a 10% improvement in reporting accuracy.
  • Assisted in migrating data from legacy systems to cloud platforms (AWS, Azure), contributing to a more efficient ETL process and reducing manual intervention by 15%.
  • Helped standardize material and vendor master data in SAP, ensuring greater consistency and contributing to a reduction in duplicate entries by 10–15%.
  • Created and maintained 5+ financial dashboards and exception reports using Excel and ERP data, helping reduce manual report compilation time by 20% for the finance team.
  • Identified minor process inefficiencies and contributed to 2 automation improvements, which reduced manual data handling tasks by 15% in recurring workflows.
  • Assisted in drafting 6+ SOPs and governance documents used across 3 regional teams, supporting data standardization efforts and improving onboarding efficiency for new team members by 25%.

Education

Master’s - computer science

Saint Louis University
Saint Louis, MO
08.2022 - 05.2024

Bachelor’s - computer science& engineering

Kakatiya Institute of Technology& Sciences (KITSW)
Telanagana, India
08.2018 - 05.2022

Skills

Python

Pandas

NumPy

R

Shell Scripting

REST API Integration

SQL

Redshift

BigQuery

Data Cleansing

Data Transformation

Power BI

Tableau

Excel

Airflow

AWS Glue

Azure Data Factory

SSIS

Apache NiFi

Data Flow Automation

Supervised Learning

Predictive Modeling

Model Deployment

Data Validation

AWS

Git

Data Cleansing

SAP

ServiceNow

Exception Management

GCP

Jira

Data Governance

ETL development

Data pipeline design

Data modeling

Data warehousing

SQL expertise

Machine learning

Big data processing

Spark framework

Data warehousing expertise

Analytical skills

Certification

Certified in Data Governance and Master Data Management (In Progress)

Timeline

Data Engineer

Bank of America
01.2024 - Current

Data Analyst

BCBS
01.2023 - 12.2023

Master’s - computer science

Saint Louis University
08.2022 - 05.2024

Data Analyst

Spring ML
08.2020 - 05.2022

Bachelor’s - computer science& engineering

Kakatiya Institute of Technology& Sciences (KITSW)
08.2018 - 05.2022
Pranavi GunukulaData Analyst