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Keerthi Reddy

Servicing Financial Analyst @PENNYMAC

McKinney, TX, US
MOBILE NUMBERS
+91 *********19

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WORK HISTORY

Feb 2026 — Present

Servicing Financial Analyst @PENNYMAC

Carrollton, TX, US

EDUCATION

N/A

Dr. Samuel George Institue of Engineering and Technology

Bachelor of Technology - BTech

ABOUT KEERTHI REDDY

I’m a Data Analyst with over 4 years of experience turning complex data into insights that teams can actually use. I’ve had the chance to work in both financial and healthcare domains, analyzing everything from customer transactions and credit data to lab operations and patient outcomes. Most days, I’m diving into large datasets, building dashboards, automating reports, and creating models that help teams make faster, smarter decisions.I really enjoy taking messy, raw data and turning it into something meaningful. Whether it’s spotting trends to reduce loan delinquencies, finding inefficiencies in lab workflows, or helping improve patient care. I work closely with finance, operations, clinical, and R&D teams to translate technical findings into clear recommendations that leadership can act on.Automation, data quality, and reliable reporting are a big part of my day-to-day. I’ve built dashboards and scorecards that save teams hours of manual work, set up validation rules to catch errors early, and documented processes so others can trust the data they’re using. For me, it’s not just about delivering numbers it’s about making sure people can actually understand and rely on the insights.Outside of work, I’ve explored flight delay prediction models that achieved 98% accuracy and streamlined data input efficiency by automating MongoDB-based ETL pipelines.Tools & Skills: Power BI, Tableau, Python, R, SQL, Alteryx, Collibra, Azure, AWS, GitHub, Jira, SSIS, SSAS, SSRS, Regression, Hypothesis Testing, Data Warehousing, Agile/Scrum. Education: B.Tech in Electronics & Communication Engineering Certification: Microsoft Certified – Azure AI FundamentalsI thrive in collaborative, fast-moving environments, especially Agile teams, and I’m always picking up new tools and approaches to make data work harder for the business. At the end of the day, my goal is simple: to turn data into insights that really make a difference.

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