About
Data Analyst with hands-on experience collecting, cleaning, validating, and analyzing operational and employee data within a highly regulated banking environment (Wells Fargo). Writes SQL queries and builds Power BI/Excel (Pivot Tables, lookup functions, data validation) dashboards and KPI reports that give Operational and Program Leadership real-time visibility into performance, data quality, and business trends across 100+ requests per cycle. Applies consistency checks and root-cause investigation to flag anomalies and discrepancies, then coordinates with business, technical/IT, and leadership stakeholders across multi-region teams to resolve them and translate business requirements into analytical solutions. Documents every data change and validation step to audit-ready standard, maintaining confidentiality and strict data-governance compliance. Working knowledge of Python (Pandas, Scikit-learn) and foundational statistics supports exploratory data analysis, trend/pattern detection, and forecasting; strong written and verbal communication for presenting findings to both technical and non-technical audiences; comfortable managing multiple deadlines independently in a remote environment.
Skills & Expertise (36)
Work Experience
System Security Associate
Wells Fargo
Mar 2025 - Jun 2026
Data collection, cleaning & validation: Collected, researched, cleaned, and validated employee and operational data across internal platforms, applying linking, mapping, and standardization to ensure accuracy and consistency for reporting and compliance. SQL-based reporting: Wrote and applied SQL logic to extract, reconcile, and validate data from multiple source systems, supporting accurate and repeatable reporting outputs. Trend & anomaly monitoring: Monitored performance and data-quality metrics in real time, applying consistency checks and analytical logic to identify trends, patterns, and anomalies across 100+ data/access requests per cycle raised by cross-functional, multi-region teams. Data discrepancy investigation: Investigated data discrepancies and partnered with business and technical stakeholders to apply defined business rules and calculation logic, resolving issues and keeping records current and audit-ready. KPI dashboards & leadership reporting: Built and maintained recurring daily/weekly KPI reports and interactive dashboards in Excel and Power BI, giving Operational and Program Leadership real-time visibility into performance, data quality, and risk findings. Cross-functional & stakeholder partnership: Worked with business, product/operations, technical/IT, and leadership stakeholders to understand requirements, translate business questions into structured analysis, and support ad hoc reporting and continuous-improvement initiatives. Documentation & governance: Documented every data change and verification step to audit-ready standard, interpreting SOPs while maintaining confidentiality and adherence to organizational data-governance policy. Process automation & improvement: Identified process gaps in recurring data research and reporting workflows, proposed automation that improved turnaround time and accuracy, and stayed current with emerging analytics tools.
Data Science Intern
Kapil IT Skill Hub
Oct 2024 - Dec 2024
Exploratory analysis & AI/ML proof-of-concept: Built a Handwritten Alphabet Recognition model (Python, TensorFlow, OpenCV) with end-to-end data preprocessing, cleansing, and labeling โ hands-on experience turning raw, unstructured input into clean, structured, reportable data.
Education
B.Sc in Computer Science - Bhavans Vivekananda College
- 2024 ยท Afghanistan
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Citizen
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Skills (36)
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