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Click here or scroll down to respond to this candidateCandidate's Name
EMAIL AVAILABLE 937-315-0197 https://LINKEDIN LINK AVAILABLE PROFESSIONAL SUMMARYResults-driven Senior Data Analyst with 4+ years of experience delivering actionable insights and data solutions across healthcare, insurance, and banking domains. Adept at building and optimizing data models, designing ETL processes, and managing large-scale datasets on cloud platforms like AWS, GCP, and Azure. Proven track record in enhancing data accuracy, reducing processing times, and implementing scalable solutions that drive business growth. Skilled in SQL, Python, R, Tableau, and Power BI to create robust data pipelines and powerful visualizations, enabling stakeholders to make data-driven decisions. Known for working closely with cross-functional teamsProduct, Engineering, Finance, and Business Operationsto define key metrics, track performance, and support strategic initiatives such as subscriber growth and churn analysis. Strong communicator with expertise in presenting complex data concepts to both technical and non-technical audiences, ensuring alignment with business goals. EDUCATIONMASTER OF SCIENCE IN COMPUTER SCIENCEWright State University, Dayton, Ohio GPA: 3.7/4.0 Courses included: Advance Database Management system, Algorithm and Design Analysis, Machine learning. SKILLSData Analytics & Reporting: Tableau, Power BI and Microsoft Excel Programming languages: Python, R, SQL, C, Java.Data Modeling & ETL: Azure Data Factory, SSIS, Informatica and Airflow. Python Libraries: NumPy, Pandas, Scikit-learn, Matplotlib, and Tensor-flow. Cloud Platforms: AWS, GCP, AzureBig Data Technologies: Hadoop, Apache SparkData Warehousing: Snowflake, Redshift, SynapseDatabases: SQL Server, MySQL, PostgreSQL, OracleProject Methodologies: Agile, WaterfallWORK EXPERIENCESENIOR DATA ANALYST Aug 2023 PresentAbbott Led complex data analysis to support ad-hoc and regular healthcare data requests, delivering insights that improved decision-making in provider reimbursement processes. Designed and optimized data pipelines using Azure Data Factory and Snowflake, improving data processing efficiency for claims and provider data by 40%. Developed and maintained SQL queries to extract and analyze claims data, supporting claims adjudication and member- provider reimbursements. Implemented Facets platform configurations for Claims, Provider, and Network data, ensuring compliance with Medicare and Medicaid programs. Collaborated with healthcare product teams to configure Medical Plan Benefits, improving claims adjudication accuracy by 15%. Conducted detailed analysis of configuration data, identifying clean-up activities that improved payment processing accuracy and reduced errors by 20%. Automated data cleansing and transformation using Informatica and Python, reducing ETL processing time and ensuring healthcare data compliance. Built and maintained Power BI dashboards, providing real-time insights into claims adjudication performance and healthcare operations for over 50 business users. Partnered with cross-functional teams to validate agreement configuration accuracy, ensuring correct provider payments and member responsibilities. Created documentation and data models that facilitated smooth integration and migration for new healthcare systems. Environment: Azure, Snowflake, Power BI, SQL, Informatica, Python, SSIS, Facets, Erwin. DATA ANALYST Oct 2022 Jul 2023Assurant Developed custom SQL queries for extracting and analyzing data from relational databases, supporting claims adjudication and payment accuracy in insurance operations. Optimized data integration processes using Azure Data Factory, improving execution times for claims data pipelines by 30%. Automated claims data validation tasks using Python, reducing manual review times and improving overall claims processing efficiency. Created customized Power BI dashboards to monitor KPIs for claim adjudication, provider reimbursements, and member responsibilities. Worked closely with data engineering teams to ensure smooth integration of claims-related data across cloud platforms. Analyzed operational metrics and provider agreements to ensure proper configuration of claims processing rules within the Facets platform. Provided real-time reporting and insights into the accuracy of claims processing for Medicare and Medicaid programs. Environment: SQL, Power BI, Python, Azure Data Factory, SSRS, Facets, PL/SQL. DATA ANALYST Jun 2020 Jun 2022BNY Mellon Created and optimized complex SQL queries for financial data analysis, reducing query execution times by 30% across back- end systems. Developed and validated data models using Erwin, ensuring compliance with financial regulations and optimizing data architecture. Built Power BI dashboards for executive stakeholders, providing real-time insights into banking performance and operational metrics. Automated financial data validation and ETL processes using Python scripts, reducing manual effort by 30% and enhancing data accuracy. Coordinated with ETL teams to execute data migrations and ensure seamless integration of new financial products across cloud platforms. Performed back-end testing and troubleshooting in AWS environments, ensuring system stability during critical business periods. Implemented data mining techniques to identify optimization opportunities for financial strategies, contributing to business growth initiatives.Environment: Power BI, Python, SQL, Erwin, AWS, ETL, AWS Glue, CSV, PL/SQL. CERTIFICATIONS Programming with Python, Internshala. Problem-solving with 5 stars, HackerRank. Machine learning algorithms, Simplilearn. PowerBI, Programmatic works. SQL, HackerRank Data Analytics and Visualization Virtual experience in Accenture, Forage. PAPER PUBLICATIONS Candidate's Name (2022), Image Caption Generator using CNN and LSTM, IRJMETS Publishers. Candidate's Name (2022), Hand Digit Recognition in GUI, IRJMETS Publishers |
