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Harika Ankathi

Senior Data Analyst • United States • h***************@gmail.com • +17******226 • linkedin.com/•••••

Professional Summary

Senior Data Analyst with 5+ years of experience in data analytics, business intelligence, cloud data platforms, and predictive modeling across healthcare, banking, and supply chain domains. Proficient in SQL, Python, Azure, AWS, Power BI, and ETL technologies. Achieved a 40% reduction in report preparation time through reporting automation and dashboard optimization. Delivers data-driven insights, scalable analytics solutions, and actionable reporting that strengthen operational performance and business decision-making.

Technical Skills

Programming Languages: Python,R
Cloud Platforms: AWS,Microsoft Azure
Databases & Data Warehousing: SQL,T-SQL,SQL Server,Oracle,PostgreSQL,Snowflake
ETL & Data Integration: Azure Data Factory,SSIS,Informatica,Talend,Data Migration,Data Transformation,Data Validation,Data Cleansing,Data Profiling,Master Data Management,Data Lineage
Big Data Technologies: Apache Spark,PySpark,Delta Lake
Machine Learning & Analytics: Azure Machine Learning,Predictive Analytics,Statistical Modeling,Regression Analysis,Classification Models,Forecasting,Data Mining
Data Visualization & Business Intelligence: Power BI,Tableau,SSRS,Microsoft Excel
Version Control & Collaboration: Git,GitHub,Azure DevOps,Jira
Healthcare Data & Compliance: HIPAA Compliance
Methodologies: Agile,Scrum,SDLC

Work Experience

Molina Healthcare
Senior Data Analyst
Sep 2024 – Present
US managed-care insurer; analytics supported population health, care management, and risk prediction across claims, member, provider, and pharmacy data.
Tech Stack: Azure Data Factory, Azure Data Lake Storage, Azure SQL Database, Power BI, SQL, Python, Azure Machine Learning, Healthcare Claims Analytics, Predictive Modeling, Risk Scoring
  • Developed a population health analytics platform integrating claims, member, provider, and pharmacy data using Azure Data Factory, Azure Data Lake Storage, and Azure SQL Database.
  • Designed Power BI dashboards and scorecards to monitor population health, care gaps, hospital utilization, and member engagement KPIs, reducing report preparation time by 40%.
  • Analyzed healthcare claims and member data using SQL, Python, and Azure Machine Learning to identify high-risk populations and utilization trends.
  • Collaborated with data scientists and business stakeholders to develop predictive models for readmission prediction, risk scoring, and member stratification.
  • Implemented AI-driven risk prediction models using Azure Machine Learning, Python, and healthcare claims data to support early identification of high-risk members, improving predictive analysis efficiency by 30%.
HSBC
Data Analyst
Nov 2021 – Dec 2022
Global bank; analytics supported fraud detection, customer segmentation, and regulatory reporting across customer, transaction, and risk datasets.
Tech Stack: SQL, Power BI, Python, Data Validation, Data Cleansing, Data Transformation, Amazon S3, Amazon RDS, ETL, Data Pipelines, Data Integration, Fraud Detection Analytics, KPI Reporting
  • Evaluated banking customer, transaction, and risk data using SQL to support fraud detection, customer segmentation, and regulatory reporting initiatives, improving reporting accuracy by 25%.
  • Engineered Power BI dashboards and KPI reports to track customer behavior, operational performance, and risk metrics, enabling business teams to monitor key banking performance indicators.
  • Enhanced data quality through validation, cleansing, and transformation using SQL and Python across customer and transaction datasets, improving data accuracy by 20%.
  • Partnered with business analysts, data engineers, and stakeholders to gather requirements and deliver cloud-based analytics solutions supporting customer and risk management functions.
  • Automated data pipelines and ETL workflows using Amazon S3, Amazon RDS, SQL, and Python to streamline data integration, reporting processes, and data availability across reporting environments.
Opel Soft
Logistics Data Analyst
Jul 2019 – Oct 2021
Logistics and supply-chain operations; analytics supported transportation, inventory, and order fulfillment performance reporting and optimization.
Tech Stack: SQL, Microsoft Excel, Power BI, KPI Reporting, Data Cleansing, Data Validation, Data Reconciliation, Demand Forecasting, Inventory Optimization, Supply Chain Analytics, Logistics Analytics
  • Assessed transportation, inventory, and order fulfillment data using SQL and Excel to identify operational trends and supply chain bottlenecks, improving reporting accuracy by 20%.
  • Constructed Power BI dashboards and KPI reports to monitor shipment performance, inventory levels, delivery timelines, and logistics costs, enabling data-driven operational planning.
  • Strengthened data quality through data cleansing, validation, and reconciliation across logistics and warehouse datasets, improving data consistency by 25%.
  • Coordinated with supply chain, procurement, and warehouse teams to deliver actionable insights supporting inventory optimization and on-time delivery initiatives.
  • Streamlined recurring logistics reporting and demand forecasting processes using SQL, Excel, and Power BI, reducing manual reporting efforts and improving operational efficiency.

Education

Rivier University
Master of Science in Computer Science • Nashua, New Hampshire • Jan 2023 – Dec 2024
Sreenidhi Institute of Science and Technology
Bachelor of Technology in Electronics and Computer Engineering • Hyderabad • Aug 2018 – May 2022

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