Achyuth kumar Thalloju
@achyuthkumarthalloju
Data Analyst turning credit risk and finance data into automated dashboards and decisions.
What I'm looking for
I’m a Data Analyst with 3+ years of experience turning complex financial data into decisions—from credit risk and delinquency analysis to commission reconciliation and revenue reporting. I build scalable, automation-first pipelines and translate messy inputs into reliable, executive-ready insights.
At Dell Technologies, I automated 15+ reporting workflows by extracting and transforming multi-source transaction and credit datasets using SQL and Python, cutting manual effort by 100+ hours per cycle and improving accuracy by 25%. I also built Snowflake data models to unify 15+ datasets, reducing reporting latency by 30% while enabling near real-time portfolio exposure analysis.
Across $300M+ receivables, I analyze payment behavior and delinquency trends to surface high-risk segments and revenue leakage, supporting credit policy changes that flagged $2M–$3M in at-risk receivables across 4+ teams. I designed 8 Power BI dashboards (DAX) adopted by 4+ cross-functional teams to guide collections prioritization and financial risk exposure in meetings.
Previously, at Trigent, I reconciled commission data across 200+ carriers and 2,500+ plans, ensuring accurate agent payouts across $600K+ in monthly commission volume. I cleaned and standardized carrier statement data to reduce reconciliation errors by 30%, automated commission validation workflows to cut manual review time by 40%, and increasingly apply AI/ML and LLM techniques to make analytics more scalable and usable.
Experience
Work history, roles, and key accomplishments
Automated 15+ reporting workflows by transforming multi-source transaction and credit data with SQL/Python, cutting manual effort by 100+ hours per cycle and improving accuracy by 25%. Built Snowflake data models and Power BI dashboards to enable near real-time portfolio exposure analysis across 4+ teams and surfaced $2M–$3M in at-risk receivables from a $300M+ basket.
Data Analyst
Trigent
Feb 2021 - Jul 2023 (2 years 5 months)
Reconciled commission data across 200+ carriers and 2,500+ plans, ensuring accurate agent payouts across $600K+ in monthly commission volume. Cleaned and standardized carrier statement data to reduce reconciliation errors by 30%, and automated validation workflows with SQL/Excel to cut manual review time by 40%.
Education
Degrees, certifications, and relevant coursework
Saint Louis University
Master’s in Data Analytics, Data Analytics
Master’s in Data Analytics with coursework in data analysis, statistical modeling, machine learning, data visualization, data warehousing, and LLM/GenAI topics.
Availability
Location
Authorized to work in
Job categories
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