Resume

Work
Experience

Jun 2024 - Present

Partner with clinicians, operations leaders, actuaries, and executives to gather business requirements for analytics use-cases, KPIs, and reporting workflows, reducing ad-hoc requests by 25%.
Build Power BI dashboards for patient outcomes, claims cycle efficiency, and financial KPIs, improving real-time visibility and supporting budget planning decisions.
Lead user acceptance testing (UAT) by validating business rules, reconciling outputs, documenting defects, and improving post deployment accuracy by 30%.
Conduct requirements traceability, KPI standardization, and metric governance, reducing redundant reports and shortening monthly review cycles by 20%.
Developed and optimized ELT pipelines to consolidate multiple data sources into a centralized snowflake warehouse with dbt, improving accuracy, scalability, compliance, and governance while increasing processing efficiency by 20%.
Use SQL and Databricks notebooks for data extraction, cleansing, and modeling from claim, provider, and demographic datasets, improving accuracy by 35%.
Present insights to leadership, influencing decisions on cost-optimization strategies that lowered operational expenses by 12%.
Perform statistical analysis using SPSS/SAS to forecast utilization and patient behavior trends, reducing forecasting error by 15%

May 2021 - Jul 2023

Executed requirement gathering sessions with operations, compliance, and regulatory reporting teams to define analytical needs and dashboard functionality.
Worked on KPI development for patient utilization, hospital admission trends, quality measures, and claims performance, improving KPI adoption across 3 business units.
Guided process documentation and established BRDs, business rules documentation, data dictionaries, and validation checklists to support SOX & HIPAA regulatory reporting.
Established and standardized AWS-based ETL pipelines for 5 multi-source datasets using S3, Lambda, Glue, Redshift, and Athena, eliminating data mismatches, integrating disparate systems, and delivering accurate, scalable, low-latency processing.
Planned Tableau dashboards for operational reporting, reducing manual effort by 40% and improving leadership review turnaround.
Built machine-learning models (regression, LSTM/GRU) to forecast patient volume, reducing average wait time by 15% and improving resource planning.
Completed root-cause analysis on inconsistent claim records, presenting remediation plans that lessened recurring data issues by 30%.

Mar 2020 - Apr 2021

Collaborated with finance teams to translate reporting needs into dashboards and BA artifacts including user stories, workflow diagrams, and requirement logic.
Collected and documented reporting and dashboard requirements from credit risk and finance stakeholders, and translated them into simple user stories and dashboard specifications, which helped reduce ad-hoc reporting requests by 20%.
Carried out GAP analysis for analytical systems to enhance weekly and quarterly reporting cycles, lowering manual dependency by 20%.
Built SQL-based data pipelines improving query performance by 25% and enabling automated reporting feeds.
Enhanced predictive models for churn and LTV analysis influencing retention strategy and improving campaign ROI by 15%.
Supported fraud detection and credit monitoring by preparing datasets and running exploratory data analysis on transaction data, helping the team better identify risky patterns.
Used Jira and Confluence for sprint planning, backlog tracking, and requirement documentation to improve delivery speed.

Sep 2023 - Aug 2025

Relevant Courses: Data Mining, Data Management, Computation and Visualization, Statistical Learning

July 2019 - Jun 2023

Relevant Courses: Mechatronics, Systems Analysis and Controls, Design of Machine Elements

Programming Languages: Python, R, SQL, VBA, C++, C#
IDE’s: Visual Studio Code, Jupyter Notebook, R Studio
Data Visualization: Tableau, Power BI, Flourish, Google Analytics, SSRS, Looker, Kibana
Data Analytics: Data Manipulation, Data Cleaning, Data Wrangling, Data Modelling, Predictive Analysis, Elasticsearch
Database Management: MySQL, PostgreSQL, Microsoft SQL Server, Oracle RDBMS
Statistical Analysis: SPSS, SAS, Regression Analysis, Hypothesis Testing, A/B Testing
Cloud Technologies: AWS (S3, RDS, Redshift, Lambda, Glue), Azure, Databricks, Snowflake (Snowpipe, Snowpark)
ETL Tools: Talend, Alteryx, Snowflake, Airflow, SSIS, Informatica, DBT
Skills and Tools: Git, GitHub, Qlik, DOMO, Jira, Docker, Looker, Git Bash, CI/CD, Advanced Excel, Word, MS Visio
Methodologies: Agile/Scrum, SDLC, Waterfall