About
Results-driven Data Analyst with experience in healthcare analytics, Python, SQL, Power BI, Excel, Streamlit, Pandas and data visualization. Skilled in data cleaning, dashboard development, KPI reporting, forecasting and database integration using SQLite and MySQL. Strong analytical and problem-solving abilities with professional experience in Accounts Receivable Analysis.
Skills & Expertise (40)
Work Experience
Data Analyst
Wipro
Present - Present
Engineered ETL workflows using SQL, Python (Pandas, NumPy), and Spark to ingest, transform, and validate large-scale datasets, improving data pipeline efficiency and reliability. Designed and optimized data models in relational databases (Oracle, MySQL) and cloud platforms, ensuring high-performance query execution and reduced latency in analytics solutions. Developed interactive dashboards in Power BI and Tableau, integrating DAX calculations, advanced visualizations, and automated refresh schedules for real-time business intelligence. Implemented predictive analytics models leveraging machine learning algorithms (Regression, Random Forest, Clustering) to forecast business KPIs and uncover hidden patterns in customer data. Utilized version control (Git) and Agile methodologies to collaborate with cross-functional teams, ensuring seamless deployment of analytics solutions and adherence to project timelines.
Data Analyst
Guidehouse
Present - Present
Automated invoice reconciliation and payment tracking using Excel (Pivot Tables, VLOOKUP) and SQL queries, reducing manual effort and improving accuracy in financial reporting. Conducted data validation and anomaly detection on receivables datasets, identifying discrepancies and ensuring compliance with accounting standards. Built analytical dashboards in Power BI/Tableau to monitor DSO (Days Sales Outstanding), aging reports, and cash flow trends, enabling proactive decision-making. Applied trend analysis and forecasting models to predict payment delays and optimize collection strategies, improving cash recovery rates. Supported revenue cycle operations through reporting and analysis.
Education
B.E. Computer Science and Engineering - Sri Krishna College Of Technology
2018 - 2022 · Afghanistan
Intermediate - G.R.G. Matric Higher Secondary School
2017 - 2018 · Afghanistan
High school - G.R.G. Matric Higher Secondary School
2015 - 2016 · Afghanistan
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Skills (40)
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