Hrishika Enugula
Data Analyst @JPMorganChase
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WORK HISTORY
Data Analyst @JPMorganChase
MA, US
Spearheaded financial risk analysis using Python and SQL, collaborating with compliance teams to enhance data validation frameworks, reducing reporting errors by 15 incidents monthly.Engineered ETL pipelines with Alteryx to automate credit risk data processing, demonstrating problem-solving skills to resolve legacy system conflicts, accelerating data delivery by 3 hours daily.Visualized KPI dashboards in Tableau for anti-money laundering (AML) monitoring, communicating insights to senior stakeholders, supporting 8 quarterly regulatory audits with 100% compliance.Optimized data governance frameworks for transaction monitoring systems through metadata management, partnering with cybersecurity teams, resolving 200+ data quality issues per quarter.Mined customer behavior datasets using advanced SQL and regression modeling, identifying cross-sell opportunities that generated $450K in incremental revenue.Scaled real-time fraud detection infrastructure on AWS (Lambda, Kinesis), troubleshooting latency issues through root-cause analysis, processing 2M+ transactions daily with sub-200ms latency.
EDUCATION
Shiv Nadar University
Bachelor of Technology - BTech
UMass Boston
Master's degree
ABOUT HRISHIKA ENUGULA
I’m a Data Analyst who doesn’t just crunch numbers. I turn chaos into clarity. With 4+ years of experience in finance, education, and social impact, I specialize in building data systems that drive measurable results: 22% higher fraud detection accuracy, 65% faster reporting, and weekly financial insights delivered at Fortune 500 scale. Here’s how I create value: 1. Automation & Efficiency: Saved 20+ hours weekly at KPMG by scripting Python/PySpark workflows to streamline audits, while managing 5+ TB financial datasets in MongoDB and AWS. Risk Mitigation: Designed clustering models (K-means) for JP Morgan Chase that segmented 1M+ customer transactions, boosting fraud alert precision by 22% and safeguarding $25B+ in assets. Strategic Storytelling: Built 100+ Tableau/Power BI dashboards to translate complex metrics into boardroom-ready insights for clients like Amazon Prime Video and Fortune 500 audit teams. Advocacy Through Data: At UMass Boston, automated ETL pipelines to analyze 10K+ gender disparity data points, empowering policymakers to advance women’s leadership initiatives. I’m passionate about bridging the gap between raw data and real-world impact. Whether I’m optimizing AWS Redshift warehouses for real-time analytics or drafting FRDs to align technical solutions with compliance needs, I thrive on solving problems that demand both technical rigor and creative thinking. What’s next? I’m committed to innovating secure, scalable data ecosystems that empower organizations to make faster, smarter decisions. Let’s connect if you’re looking for a collaborator who can: → Turn terabytes of data into actionable strategies → Design systems that balance innovation with compliance → Use analytics not just to inform, but to inspire change P.S. Ask me how I reduced manual data reconciliation by 65% using RESTful APIs—or how I’d tackle your toughest data challenge. Core Tools: Python | SQL | AWS (Redshift, Glue, S3)| Tableau | Advanced Statistics Industries: Finance | Tech | Education | Social Impact Open to collaborations, mentorship, and roles where data drives both profit and purpose.
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