Serving Australians

• Collected, analyzed, and presented real estate data in Excel dashboards, aiding strategic decisions using different functions of Excel including XLOOKUP, VLOOKUP etc. for a US company Lytemods• Sorting, Filtering, Data Cleaning and Transformation using SQL to find the employee, customer, product, stakeholders’ information, KPI and organizing in a logical and meaningful sequence for a superstore business in USA• Retrieving project information by utilizing Excel and SQL queries, such as extracting sales data for monthly reports and analysis, using a pivot table to group and reorder the findings in a way that makes it easier to organize and segment various numbers and data by date, percentage, or KPI• Designing an interactive dashboard for superstore to understand the trend of the sales during a superstore business sales• Employed Python for ETL processes, data manipulation with Pandas and NumPy, data visualization using Matplotlib, and Power BI for popularity prediction in a 10000 track Spotify dataset. I collaborated with cross-functional teams to integrate findings into Spotify’s recommendations systems• In analyzing real estate data for a new project, steps included data collection, preprocessing, EDA, modeling, clustering, geospatial analysis, sentiment analysis, and reporting to inform investment decisions using visualizations in Tableau• Implement organizational delivery standards, monitoring work product quality

• Gathering data scattered throughout another Excel spreadsheet and transferring in a current spreadsheet during real time analyst• Ensuring data security, backup, and recovery of the clients in 3 step process – imaging and modeling, data filtering and processing, and quality and security assurance using DML, DDL, Atlas • Analyze daily Passport data entry and advise resource and personnel distribution as per needs• Processed 100+ passports data a day with high data input accuracy and compliance

• Analyzed business sales data and created sales forecast reports• Prepared valuation reports for various business categories by analyzing profit and sales data• Assessed business needs to predict annual operational expenses• Utilized historical sales data to develop a sales target report aiming for 10% plus growth• Examined Pivot charts to produce a Stock management report• Fostered relationships and collaborated with mortgage brokers and banks for financing solutions• Researched real estate valuation reports and assessed clients borrowing abilities• Analysed PMA report, 3 years sale trends and prepared forecast sale report, valuation report

Owned, managed, operated a Franchise Business full time for more than 10 years in different state of Business model. The business had around 2-million-dollar turnover yearly. The business was a 24-hour business, and it never closes. Had achieved vast knowledge on staff management, staff costs, overall operation management in retail business.