Available to hire
I am Mani Krishna, a data analyst with 5+ years of experience delivering data-driven solutions across banking, energy, technology, and GIS domains. I leverage Python, SQL, R, and BI tools to turn complex data into actionable insights and scalable workflows.\n\nI specialize in building robust data pipelines, interactive dashboards, and geospatial analyses, while ensuring governance, compliance, and collaboration across cross-functional teams in Agile environments.
Skills
Language
English
Fluent
Work Experience
Data Analyst at United Health Group
April 1, 2025 - PresentDesigned and optimized SQL and Python data pipelines processing multi-million-row claims and EHR datasets, enabling tracking of HEDIS and Stars quality measures and supporting targeted care-gap closure initiatives. Built and automated Tableau dashboards monitoring PMPM cost, readmissions, ED utilization, LOS, and denial rates, improving executive visibility into operational and financial performance by 35%. Developed payment integrity and anomaly detection rules across medical and pharmacy claims, contributing to improved payment accuracy and reduction of improper payments. Partnered with care management and clinical teams to deliver HIPAA-compliant, audit-ready datasets with complete data lineage, validation, and reconciliation controls, supporting regulatory reporting. Prototyped risk stratification models to identify high-risk members (readmission and chronic condition flags), accelerating care management prioritization and improving intervention effectiveness.
Data Analyst at JPMorgan Chase
July 1, 2024 - March 1, 2025Analyzed 1.2M+ customer and transaction records using advanced SQL (CTEs, window functions, performance tuning) and Python (Pandas, NumPy) to uncover spending patterns, churn indicators, and cross-sell opportunities, contributing to 8–12% lift in campaign targeting effectiveness. Built predictive and descriptive analytics models in Python and R to assess loan performance, delinquency probability, and portfolio risk, supporting credit decisions across $500M+ in managed assets. Designed and maintained Tableau dashboards tracking loan balances, default rates, approval ratios, revenue trends, and risk exposure, improving executive decision-making speed by 30%. Automated data ingestion, cleansing, and feature engineering pipelines, reducing manual data preparation effort by 20+ hours per week and improving reporting refresh cycles by 40%. Conducted trend, variance, cohort, and segmentation analysis across multi-quarter datasets, identifying early risk signals that reduced unexpected delin
Data Analyst at Hexaware Technologies
December 1, 2018 - August 1, 2022Analyzed and validated 200+ weekly geospatial and operational datasets using advanced SQL and Excel, identifying anomalies and inconsistencies and maintaining 98–99% production data accuracy. Conducted monthly quality audits on 30+ datasets (POI attributes, routing accuracy, location metadata), driving 12% improvement in data precision across high-impact regions. Designed and implemented automated ETL validation scripts using Python (Pandas, NumPy) and SQL, reducing manual data validation effort by 40% and accelerating data release cycles. Performed in-depth analysis on 10,000+ geospatial data points per release, improving navigation accuracy, coverage reliability, and location-based service performance by 15%. Built and maintained Tableau dashboards tracking SLA adherence, defect trends, update cycle times, and accuracy KPIs, reducing reporting turnaround time by 30%. Executed exploratory data analysis (EDA) to identify root causes of recurring defects and data discrepancies, loweri
Business Analyst at LTI Mindtree
August 1, 2017 - November 1, 2018Collaborated with finance stakeholders to gather, analyze, and document business requirements, creating comprehensive BRD and FRD documents for digital lending, portfolio monitoring, and regulatory reporting initiatives. Designed and deployed interactive Power BI dashboards to track 150+ KPIs related to loan performance, delinquency trends, and customer repayment behavior, enabling leadership to make informed credit policy decisions. Conducted financial gap analysis and variance tracking, identifying revenue leakages and implementing corrective frameworks that improved reporting accuracy by 18%. Integrated GIS tools to map branch performance across geographies, visualizing lending patterns, high-risk zones, and customer acquisition density to support branch expansion and financial inclusion strategies. Executed cost/benefit analyses and profitability modeling in MS Excel, optimizing budget allocation for 10+ regional units and improving cost efficiency by 12%. Partnered with compliance
Education
Masters in Management Information System at Auburn University at Montgomery
August 1, 2022 - May 1, 2024Bachelor's in Electronics and Communication Engineering at GRIET
August 1, 2012 - May 1, 2017Qualifications
Industry Experience
Financial Services, Healthcare, Software & Internet, Professional Services, Other
Skills
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