Data Analyst Integration

KRISHNA CHAITANYA

*******@*****.***

PROFESSIONAL SUMMARY

Data Analyst with 4 years of experience delivering data integration and workflow solutions in technology-driven organizations. Core expertise includes database management with Oracle Exadata and Oracle 10g, advanced PL/SQL development, and optimization of stored procedures for high-volume environments. Skilled in data validation, ETL processes, and utilizing query tools for in-depth analysis. Proficient with the Microsoft Office suite for data reporting and visualization, as well as KYC and client onboarding systems to support compliance and credit product integration. Experienced working in Agile teams, supporting requirement refinement, test scenario design, and multi-project prioritization. Known for clear communication with both technical and business stakeholders, and for efficiently driving data initiatives that enhance business decision-making.

WORK EXPERIENCE

NEOGOV, Data Analyst Apr 2022 - Present

●Developed PL/SQL queries and stored procedures on Oracle Exadata to support data analysis and reporting needs for government and public sector HR software solutions.

●Built and maintained complex SQL scripts to extract, transform, and load data, ensuring data accuracy and integrity across multiple applications in a secure environment.

●Created clear documentation for business requirements and data flows, helping both technical and non-technical teams understand project goals and integration points.

●Improved data quality and consistency by designing test scenarios and validating data sets before integration with talent management platforms.

●Utilized Microsoft Office tools, including Excel and PowerPoint, to present analytical findings and support project discussions with stakeholders from government and education sectors.

●Developed and tested integration solutions for client onboarding and KYC processes, making sure data moved smoothly between internal systems and external partners.

●Supported Agile teams by refining user stories, estimating work, and tracking progress through each sprint to deliver enhancements for NEOGOV’s software products.

●Reviewed system interfaces and performed proof-of-concept work to mitigate risks and validate new ideas before full implementation in production environments.

●Analyzed end-to-end data workflows, connecting information from multiple systems to deliver insights that helped improve decision-making for HR and compliance teams.

●Worked closely with team members to prioritize tasks and resolve data issues, ensuring timely delivery of projects in a fast-paced, regulated technology environment.

Sovrn, Data Engineer Jul 2020 - Sep 2021

●Developed and optimized PL/SQL queries on Oracle 10g to analyze large-scale advertising performance data, supporting reporting needs for digital publisher and ecommerce partners.

●Designed data validation test scenarios to ensure reliable data integration between Sovrn’s ad tech platforms and third-party analytics, improving accuracy of revenue attribution for clients.

●Built and maintained complex stored procedures to automate extraction and transformation of campaign data, helping identify trends in publisher monetization and inventory management.

●Utilized advanced Excel formulas and PowerPoint to present insights from digital advertising data to both technical product teams and non-technical business stakeholders.

●Created detailed documentation of end-to-end data flows across Sovrn’s digital advertising ecosystem, clarifying integration points for engineering and account management teams.

●Participated in Agile sprint planning by refining analytics user stories, estimating effort, and prioritizing tasks to deliver enhancements for data-driven ad optimization solutions.

●Analyzed wholesale credit exposure and onboarding data related to new publisher accounts, ensuring accurate KYC checks and compliance within Sovrn’s programmatic marketplace.

●Reviewed application interfaces and performed proof-of-concept analysis to test new integrations with demand-side partners, reducing risk of data loss or reporting gaps.

●Connected data from multiple ad tech applications to build a unified view of publisher engagement, supporting cross-team initiatives for increasing inventory quality and fill rates.

●Guided team discussions by explaining technical findings in both detailed analytics terms and executive-level summaries, making data-driven recommendations for platform improvements.

TECHNICAL SKILLS

Databases: Oracle Exadata, Oracle 10g, PL/SQL, SQL

Data Analysis: Microsoft Excel, Query Tools, Advanced Excel Formulas, Data Workflow Analysis

Data Integration & ETL: Stored Procedures, SQL Scripts, Data Validation Tools, ETL Processes

Compliance & Onboarding: KYC Platforms, Client Onboarding Systems, Wholesale Credit Product Systems, Integration Solutions

Agile & Development Tools: Agile Scrum Tools, Sprint Planning Tools, User Story Refinement Tools

Reporting & Visualization: Microsoft PowerPoint, Reporting Tools

EDUCATION

Master of Science in Management Information Systems Jan’22 – Dec’23

Northern Illinois University

Bachelor of Technology in Information Technology Jul’17 – Aug’21

Velagapudi Ramakrishna Siddhartha Engineering College

PROJECTS

Breaking Bad (Cloud-Based Data Analytics) Aug 2023 - Dec 2023

Conducted thorough analysis of city's crime data (1 million+ records) on Google Cloud Platform, enabling geospatial analysis and utilizing BigQuery for data cleaning and extraction.

Ingested unclean data into Cloud Storage, employing Looker Studio for data visualization, showcasing proficiency in GCP concepts and practical data analytics.

Heart Disease Risk Prediction Aug 2022 - Dec 2022

Predicted the likelihood of heart disease using clinical features; performed exploratory data analysis and developed classification models (Logistic Regression, SVM, Decision Tree) with 82%–94% accuracy using scikit-learn in Python.

Content-Based Recommender system for Movies Jan 2022 - Apr 2022

Conducted Exploratory Data Analysis (EDA) and visualized key insights from 45k records of movie metadata.

Implemented a content-based recommender system for the movie industry, leveraging expertise in NLP and information retrieval principles (TF-IDF, cosine similarity), enhancing content relevance by 10% and boosting customer satisfaction.

CERTIFICATIONS

AWS Cloud Practitioner

Data Science - Coursera

DBMS - NPTEL

Beginner PHP & MySQL - UDEMY

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