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Skills & Expertise (67)
Work Experience
Business Analyst
Wells Fargo
Sep 2020 - Oct 2021
Designed and maintained executive dashboards using Tableau for tracking loan processing efficiency, fraud alert metrics, and customer satisfaction KPIs across retail and commercial banking operations. This initiative led to a 20% improvement in data visibility for senior leadership and enhanced decision-making on sales, risk, and operational performance. Collaborated with cross-functional teams of over 20 members to optimize data workflows and reporting cycles by integrating large financial datasets from GCP (BigQuery) and Azure platforms. Leveraged SQL across Oracle, PostgreSQL, and MySQL databases for complex data retrieval, achieving a 15% boost in performance and supporting regulatory reporting and audit readiness. Utilized JIRA to manage change requests and sprint planning, while conducting in-depth ad-hoc analyses in Excel using regression models, correlation, forecasting, pivot tables, and A/B testing. Developed documentation in Confluence to ensure continuity in reporting processes and knowledge sharing across teams.
Business Data Analyst
iConsult Collaborative at Syracuse University
Jan 2023 - Dec 2023
Utilized Microsoft SQL Server to compile and maintain healthcare client data from multiple sources, including electronic health records (EHRs), adhering to HIPAA guidelines for regulatory compliance. Conducted data cleaning and integrity checks, improving accuracy by 70%, and developed advanced statistical analyses, including clinical risk tracking, trend identification, and predictive modeling, to support healthcare management and decision-making. Developed and maintained interactive dashboards in MS Power BI, including a patient emergency room report dashboard, to display key healthcare metrics and trends. Leveraged DAX and Power Query to automate processes and reduce manual effort by 30%. Delivered intuitive visualizations and ad-hoc analyses to monitor real-time performance, identify trends, and support value-based program analytics, enabling data-driven decisions for clinical and operational improvements. Created comprehensive artifacts, including BRD, FRS, and SRS, to streamline business processes and align with healthcare standards. Collaborated with stakeholders to prioritize analytic objectives and optimize workflows, enhancing reporting accuracy through integration with Epic electronic medical records and building uniform data repositories for regulatory and strategic evaluation needs.
Data Analyst II
Cyber Nirvana
Feb 2025 - Oct 2025
Applied master data management (MDM) principles and data governance best practices to improve accuracy, consistency, and integrity of product master data across an e-commerce retail client. Mapped and standardized 200K+ SKU records across categories, resolving data conflicts and duplication issues to establish a single source of truth for downstream reporting and operations. Built Python-based automation scripts in Jupyter Notebook for product classification and category alignment, leveraging Generative AI and LLMs to automate tagging and attribute enrichment. This significantly reduced manual data correction effort and accelerated the onboarding of new product lines into the reporting pipeline. Led data standardization initiatives by harmonizing units of measurement, naming conventions, and category hierarchies across procurement and inventory records. Developed Excel VBA macros to automate monthly statistical reporting, facilitating efficient updates during daily project briefings and stakeholder reviews. Contributed to UAT, integration testing, and deployment activities to validate data pipelines and reporting outputs prior to production release. Collaborated with business and technical teams to resolve data quality issues, supported a small analytics team in end-to-end validation, and ensured smooth delivery of reporting artifacts throughout the project lifecycle.
Data Analyst
Texara Solutions
Feb 2024 - Nov 2024
Built and deployed Tableau dashboards connected to SQL Server to monitor workforce KPIs including attrition rates, headcount trends, and departmental performance. Delivered actionable insights to HR leadership, enabling data-driven decisions on hiring, retention, and workforce planning. Designed and maintained SQL Server data models to support workforce analytics, writing complex queries — joins, subqueries, and aggregations — to extract and validate employee, attrition, and payroll data across departments. Ensured data consistency across reporting layers, enabling accurate headcount and performance tracking across the organization. Conducted exploratory data analysis (EDA) using Python (Pandas, Seaborn) to uncover patterns in employee attrition, performance cycles, and engagement trends. Generated insights that informed HR strategy and guided the development of targeted retention initiatives for key business units. Collaborated with a cross-functional analytics team responsible for dashboard development, data validation, and performance reporting. Worked closely with HR stakeholders to refine reporting requirements, align on KPI definitions, and deliver consistent, high-quality analytical outputs on schedule.
Education
Master of Science: Information Systems - Syracuse University
2022 - 2023 · Afghanistan
Postgraduate Diploma in Management – Major Finance | Minor – Business Analytics - International School Of Management Excellence
2018 - 2020 · Afghanistan
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