A result-oriented and self-driven analyst with practical experience through multiple projects using SQL, Excel, Power BI, and Python. Highly skilled in collecting, analyzing and visualizing data.
Determining individual and Corporate KYC requirements for clients based on type of structure and relationship.
Performed Customer Due Diligence on corporate clients by identifying and verifying following information using approved sources.
Scripting Languages: Python,SQL
Scripting Libraries: Data Structures, Pandas, Numpy
Software Tools: Power Bi Desktop, Visual Studio, MS Office, G-Suite
Library Management System:
(SQL Lite) Designed and developed a Library Management System to efficiently organize library resources. Implemented features for book cataloging, member management, and borrowing/returning processes. Enhanced user experience through intuitive interfaces for librarians and patrons, improving overall library functionality.
Bike Sales Dashboard using Excel: Data Visualization and Insights
Analyzed a diverse real-world Bike Sale dataset consisting of over 1000+ people's data in Excel, expertly utilizing a wide range of formulas, functions, and pivot tables. Cleaned, organized, and visualized 100% of data. Developed impactful Excel dashboards to communicate crucial insights, driving a 60% increase in business growth.
Adventure works Dashboard using PowerBI: Data Shaping, Data modeling and Data Visualization.
Executed: Developed an end-to-end data analysis solution using Power BI, importing data from CSV files into Power BI using Power Query Editor. Transformed and Shaped: Cleansed, transformed, and structured the data, ensuring data quality and consistency. Constructed: Designed a robust data model, establishing relationships between tables for optimal performance. Leveraged: Utilized DAX (Data Analysis Expressions) to create calculated fields and measures. Visualized: Created interactive dashboards and reports, conveying insights through charts and graphs.
Nashville Housing Data in SQL: SQL, Data Cleansing and Data Analysis.
I executed an end-to-end data cleaning solution by importing a dataset from GitHub into SQL Workbench. I meticulously identified and corrected errors, handled missing values, and removed duplicates. 02/2023 Additionally, I standardized date formats, parsed property addresses, and gained a deeper understanding of the critical role data cleaning plays in accurate analysis.
[Data Analysis with Python] Training -
I've been pursuing my course at Besant Technologies for the past 6 months, where I have successfully completed the Data Analytics program and earned my certification. During this time, I have also accomplished the following:
[Data Analysis with Python] Training -