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Sartajullah B.

@subaigfalcon

5.0
1
0.0
0.0
100%

Bookkeeper| Advance Excel | Excel Automation| QBS

$10 USD / Hour
・
Flag of
Pakistan (7:50 AM)
・
Joined on December 23, 2023
$10 USD / Hour
・
I'm Sartaj Ullah, a qualified management accountant, Data analyst and Quick Books Pro Advisor with more than 10+ years of diverse professional experience. I hold an MBA degree Specialization in Accounting & Finance besides my MBA I have Bachelor's degree in Commerce from University of the Punjab, Lahore. In addition to being a QuickBooks Online Certified Pro Advisor and Microsoft Specialist. I have two specializations, one in Excel skills for business & the other in Excel skills for data analytics from The Open University, Walton Hall, United Kingdom. I have a strong analytical mindset with solid experience in Data Visualization, Data Engineering, Data Analysis & Data Science. As a dedicated full-time freelancer, I excel in turning complex data into actionable insights. I can create impactful dashboards that enhance decision-making and streamline operations. ⭐AREAS OF MY EXPERTISE ✓ Quick Books ✓ MS Excel ✓ Power BI ✓ Tableau ✓ AI Development ✓ Data Visualization and Data Analysis for Actionable Insights ✓ Build Power BI report using DAX and Power Query ✓ Clean & prepare data ✓ Data Science ✓ Power Query ✓ Calculate metrics & KPI that define your business ✓ Interactive Dashboards and Reporting In my previous roles, to produce 100% output the most important thing is the “CREATIVITY” because every time clients demand something “Unique, New & Better”. Since 2014, I have found myself highly creative and this is the main reason for my success because I have achieved the 99% client satisfaction ratio. I have a background in Accounting and Finance, which enables me to ensure that your business and accounting needs are taken care of. (but not limited to): ✓ Financial Reports ✓ Daily Banking Report ✓ P&L ✓ Forecast Reports ✓ A/R ✓ A/P ✓ Budgeting ✓ Bank Reconciliations ✓ Payrolls ✓ Taxes ✓ Invoice/Receipts ✓ Billing My objective is to provide high quality services to my clients and 100% satisfaction is my core concern. If I am selected, I wish to do my best efficiently and accurately to fulfil the requirements as you wish, and my ambition is to achieve my targets to upgrade the smooth operation in this field. It will be a pleasure to meet you. Thank You!
Verifications
On time
100%
On budget
100%
Accept rate
100%
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Portfolio

Portfolio

12427363
Analyse electricity consumption in the world using Power BI by collecting and processing global data, designing a data model, and creating visualizations to identify patterns and insights. Sources for Global Electricity Data: 1- International Energy Agency (IEA) 2- World Bank Data 3- Governmental and regional energy agencies Data Points to Collect: 1- Electricity consumption (MWh, kWh, etc.) by country/region 2- Time period (yearly, monthly, daily) Analyse liver cancer deaths globally in Power BI: I Obtained reliable datasets, prepared them for analysis, and create insightful visualizations. Data Sources: Global Health Data: 1- World Health Organization (WHO) 2- Global Burden of Disease (GBD) study 3- World Bank Data Points to Collect: 1- Liver cancer death statistics by country/region 2- Yearly data for trends analysis 3- Demographics (age, gender) 4- Risk factors (alcohol consumption, hepatitis prevalence, obesity rates)
Electricity Consumption Analyses
12427333
First of all I have Collected sales data from various sources such as Excel files, (SQL databases, CRM systems, or cloud platforms).Then I ensure your data is clean, accurate, and formatted properly. Handle missing values, and standardize data formats. Load Data into Power BI. Transform Data Using Power Query and Editor to Rename columns for clarity. Split or merge columns as needed. Filter rows and apply transformations like date formatting or adding calculated columns. Click Close & Apply to save the transformations. Create a Data Model, Identify relationships between tables & Manage Relationships. Design the Dashboard, Key Metrics to Include: Total Sales, Sales Growth (YoY, QoQ, MoM), Top Products/Services, Regional Sales Performance, Customer Segmentation, & Profit Margins. Visualizations: Bar/Column Charts, Line Charts, Pie/Donut Charts, Maps & KPIs. Add Interactivity, Use Slicers , & Add Drop down menus. Format and Customize i.e., Formatting Pane to adjust
Sales Data Analyses in Power BI
12427302
With my sleek and modern design sales dashboard is in a single page with maximum information has been covered. Product Level comparison section is very useful to analyses and compare month on month and yearly for different metrics. It provides an overview of key performance indicators such as sales volume, revenue, Profit, Order priorities, Continent wise segments, Top selling products, month & year wise product reports, and customer acquisition. The dashboard includes interactive charts and graphs that allow users to easily visualize and compare data across different time periods. It also allows users to drill down into specific data points for more detailed analysis. Insights and Key Functionalities using this Sales Dashboard 1. The dashboard is made up of three worksheets: Data base, Pivot table sheet, and Dashboard. 2. Use both Pivot table and advance formulations in pivot table sheet. Use Slicers to filter the data and analyse sales, revenue, and profit by product, by regio
Dynamic Sales Performance Dashboard
12427280
I can make a dynamic dashboard that’s not only shows your sales data in a nice way but also allows for real time updates & easy interactions. The underline excels data base that I use for creating dashboard. This excels file comprises three sheets’ sales data, pivot, & dashboard. The sales sheet contains the entire data set I have worked with; the pivot sheet used for created pivot tables & on the dashboard sheet I have created sales dashboard. I have chosen a round rectangle. These shapes will serve as a background container for all other sections. In first four sections I have explored the total sales, profit in USD, Profit percentage, & units sold figures across different segments, products, and time periods. I have started with total sales matrix providing an overview of revenue generated. By using stacked column chart visualize sales & profit trends over the months.
Dynamic & interactive Sales Matrix
12422767
Data Scope 1- 2013-2014 Matrix Required 1- Total Gross Sales, COGS, and Profit View for four Products. 2- Cards to show the selected Product. View Required 1- Gross Sales View 2- COGS View 3- Profit View Key Factors of this dashboard 1- Custom Sorting 2- Bookmarks 3- Comparisons with Multi Products Objective Gross Sales Summary 1- Country wise Gross Sales Performance using Stacked Column Chart 2- Discount Band wise Gross Sales Performance using Ribbon Chart 3- Segment wise Water fall chart Monthly COGS Performance Stacked Bar Chart with four Products Comparison 1- Country wise COGS Performance 2- Discount Band wise COGS Performance 3- Segment wise COGS Performance using Donut Chart Profit Summary Monthly Profit Performance using Matrix Table with Product Comparison 1- Discount Band wise Profit Performance using Multi Row Card 2- Segment wise Profit Performance using Pie Chart
FINANCE KPI DASHBOARD IN POWER BI
Data Scope 1- 2013-2014 Matrix Required 1- Total Gross Sales, COGS, and Profit View for four Products. 2- Cards to show the selected Product. View Required 1- Gross Sales View 2- COGS View 3- Profit View Key Factors of this dashboard 1- Custom Sorting 2- Bookmarks 3- Comparisons with Multi Products Objective Gross Sales Summary 1- Country wise Gross Sales Performance using Stacked Column Chart 2- Discount Band wise Gross Sales Performance using Ribbon Chart 3- Segment wise Water fall chart Monthly COGS Performance Stacked Bar Chart with four Products Comparison 1- Country wise COGS Performance 2- Discount Band wise COGS Performance 3- Segment wise COGS Performance using Donut Chart Profit Summary Monthly Profit Performance using Matrix Table with Product Comparison 1- Discount Band wise Profit Performance using Multi Row Card 2- Segment wise Profit Performance using Pie Chart
FINANCE KPI DASHBOARD IN POWER BI
Data Scope 1- 2013-2014 Matrix Required 1- Total Gross Sales, COGS, and Profit View for four Products. 2- Cards to show the selected Product. View Required 1- Gross Sales View 2- COGS View 3- Profit View Key Factors of this dashboard 1- Custom Sorting 2- Bookmarks 3- Comparisons with Multi Products Objective Gross Sales Summary 1- Country wise Gross Sales Performance using Stacked Column Chart 2- Discount Band wise Gross Sales Performance using Ribbon Chart 3- Segment wise Water fall chart Monthly COGS Performance Stacked Bar Chart with four Products Comparison 1- Country wise COGS Performance 2- Discount Band wise COGS Performance 3- Segment wise COGS Performance using Donut Chart Profit Summary Monthly Profit Performance using Matrix Table with Product Comparison 1- Discount Band wise Profit Performance using Multi Row Card 2- Segment wise Profit Performance using Pie Chart
FINANCE KPI DASHBOARD IN POWER BI
Data Scope 1- 2013-2014 Matrix Required 1- Total Gross Sales, COGS, and Profit View for four Products. 2- Cards to show the selected Product. View Required 1- Gross Sales View 2- COGS View 3- Profit View Key Factors of this dashboard 1- Custom Sorting 2- Bookmarks 3- Comparisons with Multi Products Objective Gross Sales Summary 1- Country wise Gross Sales Performance using Stacked Column Chart 2- Discount Band wise Gross Sales Performance using Ribbon Chart 3- Segment wise Water fall chart Monthly COGS Performance Stacked Bar Chart with four Products Comparison 1- Country wise COGS Performance 2- Discount Band wise COGS Performance 3- Segment wise COGS Performance using Donut Chart Profit Summary Monthly Profit Performance using Matrix Table with Product Comparison 1- Discount Band wise Profit Performance using Multi Row Card 2- Segment wise Profit Performance using Pie Chart
FINANCE KPI DASHBOARD IN POWER BI
Data Scope 1- 2013-2014 Matrix Required 1- Total Gross Sales, COGS, and Profit View for four Products. 2- Cards to show the selected Product. View Required 1- Gross Sales View 2- COGS View 3- Profit View Key Factors of this dashboard 1- Custom Sorting 2- Bookmarks 3- Comparisons with Multi Products Objective Gross Sales Summary 1- Country wise Gross Sales Performance using Stacked Column Chart 2- Discount Band wise Gross Sales Performance using Ribbon Chart 3- Segment wise Water fall chart Monthly COGS Performance Stacked Bar Chart with four Products Comparison 1- Country wise COGS Performance 2- Discount Band wise COGS Performance 3- Segment wise COGS Performance using Donut Chart Profit Summary Monthly Profit Performance using Matrix Table with Product Comparison 1- Discount Band wise Profit Performance using Multi Row Card 2- Segment wise Profit Performance using Pie Chart
FINANCE KPI DASHBOARD IN POWER BI
12406458
I offer meticulous & detailed services to the unique needs of your business. I am confident in my ability to bring value to your organization and contribute to your financial success. • MBA Accounting and Finance, Cost Management Accountant • QuickBooks Online Certified ProAdvisor • 10+ years of solid working experience in accounting & bookkeeping • Solid expertise in QBS Online/Desktop I can manage everything in QBS from very initial setup to the last financial report and exclusively I can fully customize your QBS exactly according to your business needs. I will provide you expert assistance in, but not limited to, • Set up of Company with a proper COA • Setting up online bank feeds • Set up income and expenses tracking • Tax, Product, or Service setup into QBS • Payroll processing & Inventory management • Tax management • Bank/Credit Card Reconciliation • AR & AP Management • Financial Reports
Accounting & Bookkeeping in QBS
Accounting & Bookkeeping in QBS
12427363
Analyse electricity consumption in the world using Power BI by collecting and processing global data, designing a data model, and creating visualizations to identify patterns and insights. Sources for Global Electricity Data: 1- International Energy Agency (IEA) 2- World Bank Data 3- Governmental and regional energy agencies Data Points to Collect: 1- Electricity consumption (MWh, kWh, etc.) by country/region 2- Time period (yearly, monthly, daily) Analyse liver cancer deaths globally in Power BI: I Obtained reliable datasets, prepared them for analysis, and create insightful visualizations. Data Sources: Global Health Data: 1- World Health Organization (WHO) 2- Global Burden of Disease (GBD) study 3- World Bank Data Points to Collect: 1- Liver cancer death statistics by country/region 2- Yearly data for trends analysis 3- Demographics (age, gender) 4- Risk factors (alcohol consumption, hepatitis prevalence, obesity rates)
Electricity Consumption Analyses
12427333
First of all I have Collected sales data from various sources such as Excel files, (SQL databases, CRM systems, or cloud platforms).Then I ensure your data is clean, accurate, and formatted properly. Handle missing values, and standardize data formats. Load Data into Power BI. Transform Data Using Power Query and Editor to Rename columns for clarity. Split or merge columns as needed. Filter rows and apply transformations like date formatting or adding calculated columns. Click Close & Apply to save the transformations. Create a Data Model, Identify relationships between tables & Manage Relationships. Design the Dashboard, Key Metrics to Include: Total Sales, Sales Growth (YoY, QoQ, MoM), Top Products/Services, Regional Sales Performance, Customer Segmentation, & Profit Margins. Visualizations: Bar/Column Charts, Line Charts, Pie/Donut Charts, Maps & KPIs. Add Interactivity, Use Slicers , & Add Drop down menus. Format and Customize i.e., Formatting Pane to adjust
Sales Data Analyses in Power BI
12427302
With my sleek and modern design sales dashboard is in a single page with maximum information has been covered. Product Level comparison section is very useful to analyses and compare month on month and yearly for different metrics. It provides an overview of key performance indicators such as sales volume, revenue, Profit, Order priorities, Continent wise segments, Top selling products, month & year wise product reports, and customer acquisition. The dashboard includes interactive charts and graphs that allow users to easily visualize and compare data across different time periods. It also allows users to drill down into specific data points for more detailed analysis. Insights and Key Functionalities using this Sales Dashboard 1. The dashboard is made up of three worksheets: Data base, Pivot table sheet, and Dashboard. 2. Use both Pivot table and advance formulations in pivot table sheet. Use Slicers to filter the data and analyse sales, revenue, and profit by product, by regio
Dynamic Sales Performance Dashboard
12427280
I can make a dynamic dashboard that’s not only shows your sales data in a nice way but also allows for real time updates & easy interactions. The underline excels data base that I use for creating dashboard. This excels file comprises three sheets’ sales data, pivot, & dashboard. The sales sheet contains the entire data set I have worked with; the pivot sheet used for created pivot tables & on the dashboard sheet I have created sales dashboard. I have chosen a round rectangle. These shapes will serve as a background container for all other sections. In first four sections I have explored the total sales, profit in USD, Profit percentage, & units sold figures across different segments, products, and time periods. I have started with total sales matrix providing an overview of revenue generated. By using stacked column chart visualize sales & profit trends over the months.
Dynamic & interactive Sales Matrix
12422767
Data Scope 1- 2013-2014 Matrix Required 1- Total Gross Sales, COGS, and Profit View for four Products. 2- Cards to show the selected Product. View Required 1- Gross Sales View 2- COGS View 3- Profit View Key Factors of this dashboard 1- Custom Sorting 2- Bookmarks 3- Comparisons with Multi Products Objective Gross Sales Summary 1- Country wise Gross Sales Performance using Stacked Column Chart 2- Discount Band wise Gross Sales Performance using Ribbon Chart 3- Segment wise Water fall chart Monthly COGS Performance Stacked Bar Chart with four Products Comparison 1- Country wise COGS Performance 2- Discount Band wise COGS Performance 3- Segment wise COGS Performance using Donut Chart Profit Summary Monthly Profit Performance using Matrix Table with Product Comparison 1- Discount Band wise Profit Performance using Multi Row Card 2- Segment wise Profit Performance using Pie Chart
FINANCE KPI DASHBOARD IN POWER BI
Data Scope 1- 2013-2014 Matrix Required 1- Total Gross Sales, COGS, and Profit View for four Products. 2- Cards to show the selected Product. View Required 1- Gross Sales View 2- COGS View 3- Profit View Key Factors of this dashboard 1- Custom Sorting 2- Bookmarks 3- Comparisons with Multi Products Objective Gross Sales Summary 1- Country wise Gross Sales Performance using Stacked Column Chart 2- Discount Band wise Gross Sales Performance using Ribbon Chart 3- Segment wise Water fall chart Monthly COGS Performance Stacked Bar Chart with four Products Comparison 1- Country wise COGS Performance 2- Discount Band wise COGS Performance 3- Segment wise COGS Performance using Donut Chart Profit Summary Monthly Profit Performance using Matrix Table with Product Comparison 1- Discount Band wise Profit Performance using Multi Row Card 2- Segment wise Profit Performance using Pie Chart
FINANCE KPI DASHBOARD IN POWER BI
Data Scope 1- 2013-2014 Matrix Required 1- Total Gross Sales, COGS, and Profit View for four Products. 2- Cards to show the selected Product. View Required 1- Gross Sales View 2- COGS View 3- Profit View Key Factors of this dashboard 1- Custom Sorting 2- Bookmarks 3- Comparisons with Multi Products Objective Gross Sales Summary 1- Country wise Gross Sales Performance using Stacked Column Chart 2- Discount Band wise Gross Sales Performance using Ribbon Chart 3- Segment wise Water fall chart Monthly COGS Performance Stacked Bar Chart with four Products Comparison 1- Country wise COGS Performance 2- Discount Band wise COGS Performance 3- Segment wise COGS Performance using Donut Chart Profit Summary Monthly Profit Performance using Matrix Table with Product Comparison 1- Discount Band wise Profit Performance using Multi Row Card 2- Segment wise Profit Performance using Pie Chart
FINANCE KPI DASHBOARD IN POWER BI
Data Scope 1- 2013-2014 Matrix Required 1- Total Gross Sales, COGS, and Profit View for four Products. 2- Cards to show the selected Product. View Required 1- Gross Sales View 2- COGS View 3- Profit View Key Factors of this dashboard 1- Custom Sorting 2- Bookmarks 3- Comparisons with Multi Products Objective Gross Sales Summary 1- Country wise Gross Sales Performance using Stacked Column Chart 2- Discount Band wise Gross Sales Performance using Ribbon Chart 3- Segment wise Water fall chart Monthly COGS Performance Stacked Bar Chart with four Products Comparison 1- Country wise COGS Performance 2- Discount Band wise COGS Performance 3- Segment wise COGS Performance using Donut Chart Profit Summary Monthly Profit Performance using Matrix Table with Product Comparison 1- Discount Band wise Profit Performance using Multi Row Card 2- Segment wise Profit Performance using Pie Chart
FINANCE KPI DASHBOARD IN POWER BI
Data Scope 1- 2013-2014 Matrix Required 1- Total Gross Sales, COGS, and Profit View for four Products. 2- Cards to show the selected Product. View Required 1- Gross Sales View 2- COGS View 3- Profit View Key Factors of this dashboard 1- Custom Sorting 2- Bookmarks 3- Comparisons with Multi Products Objective Gross Sales Summary 1- Country wise Gross Sales Performance using Stacked Column Chart 2- Discount Band wise Gross Sales Performance using Ribbon Chart 3- Segment wise Water fall chart Monthly COGS Performance Stacked Bar Chart with four Products Comparison 1- Country wise COGS Performance 2- Discount Band wise COGS Performance 3- Segment wise COGS Performance using Donut Chart Profit Summary Monthly Profit Performance using Matrix Table with Product Comparison 1- Discount Band wise Profit Performance using Multi Row Card 2- Segment wise Profit Performance using Pie Chart
FINANCE KPI DASHBOARD IN POWER BI
12406458
I offer meticulous & detailed services to the unique needs of your business. I am confident in my ability to bring value to your organization and contribute to your financial success. • MBA Accounting and Finance, Cost Management Accountant • QuickBooks Online Certified ProAdvisor • 10+ years of solid working experience in accounting & bookkeeping • Solid expertise in QBS Online/Desktop I can manage everything in QBS from very initial setup to the last financial report and exclusively I can fully customize your QBS exactly according to your business needs. I will provide you expert assistance in, but not limited to, • Set up of Company with a proper COA • Setting up online bank feeds • Set up income and expenses tracking • Tax, Product, or Service setup into QBS • Payroll processing & Inventory management • Tax management • Bank/Credit Card Reconciliation • AR & AP Management • Financial Reports
Accounting & Bookkeeping in QBS
Accounting & Bookkeeping in QBS
Changes saved
5.0 · 1 Review
Reviews
H
Excel Expert Needed for Data Analysis • $13 CAD
Great work & professionalism!!
honeybhamri24
@honeybhamri24
•
Flag of
, India
•
2 months ago
Share
Experience
Owner | Bookkeeping and Accounting Services | Outsourcing Accounting |
May, 2021 - Present
•
3 years, 7 months
S.U. BAIG & CO.
May, 2021 - Present
•
3 years, 7 months
Full time remote Bookkeeping & accounting services. Bookkeeping Services: - Comprehensive Bookkeeping: Using QuickBooks, Excel & Xero. - Bank Accounts, PayPal, & Credit Cards. - Management: Bills, Invoices, AP & AR. -Customer Billing, Payroll & Inventory Mangt. Data Science & Data Analytics: • Data analysis in MS Excel with Charts/Graphs/ Dashboards. • Data Automation in MS Excel. • Adv Microsoft Excel Data analysis • Power BI report using DAX & Power Query • & Many More
Flag of
hunza, Pakistan
May, 2021 - Present
•
3 years, 7 months
Accounts Executive
Mar, 2019 - May, 2022
•
3 years, 2 months
Plas Packaging Industries
Mar, 2019 - May, 2022
•
3 years, 2 months
- Comprehensive Bookkeeping: Using QuickBooks and Excel - Reconciliation: Bank Accounts, and Credit Cards. - Management: Bills, Invoices, Accounts Receivables & Payables. - Customer Billing, Payroll Processing, Inventory Management. Financial Reporting: - Profit & Loss - Balance Sheet - Performance Metrics - Customized Reports - Data-centric reconciliation and internal auditing. -Accurate financial tracking, reporting, & compliance while streamlining operations to support business growth.
Mar, 2019 - May, 2022
•
3 years, 2 months
Senior Accounts Officer
Dec, 2015 - Feb, 2019
•
3 years, 2 months
Urban Textile
Dec, 2015 - Feb, 2019
•
3 years, 2 months
Maintaining following reports in QuickBooks & Excel; (QuickBooks Online/QuickBooks Pro/MS Excel Expert) Accurate Chart of Accounts • Profit & Loss/Income Expenses Accounts • Balance Sheet/Cash Flow • Monthly Bank Reconciliations/Credit Card Accounts Reconciliations.
Dec, 2015 - Feb, 2019
•
3 years, 2 months
Education
University of Peshawar
2010 - 2013
•
3 years
Master of Business Administration in Finance & Accounting
Flag of
Pakistan
2010 - 2013
•
3 years
University of the Punjab, Lahore
2006 - 2008
•
2 years
Bachelor of Commerce (B.Com)
Flag of
Pakistan
2006 - 2008
•
2 years
Qualifications
Data Science and Data Analytics
2024
The Open University, Walton Hall, United Kingdom
1. Data science 2. Cloud computing 3. Blockchain 4. Data visualisation 5. Data gathering & cleaning, data warehousing, data analysis & reporting techniques 6. Generate valuable insights through data warehousing, & evaluation, leading to informed decision-making & process improvement 7. Advance formulas and functions in Excel 8. Use the visualization & report capabilities of Power BI to create compelling reports & dashboards.
2024
Certificate in Information Technology- CIT
2015
Sindhi Computer Insitute, Karachi, Pakistan
Blockchain Cloud computing Data science Internet Operations Data Analysis Using Excel • Lookup Table • Data Analysis • Microsoft Excel • Pivot Table • Business Statistics & Analysis Specialization • Spread Sheet Functions & Organize Data • Introduction to some more useful functions such as the IF, nested IF, VLOOKUP and HLOOKUP functions in Excel. • Introduction to the Data Filtering, Pivot Tables, and Charts • Advance Graphing and Charting
2015
QuickBooks ProAdvisor
2021
Intuit
• Implementing efficient payroll processing systems in Quick books, reducing errors by 20% & ensuring accurate and timely payment to employees. • I have resolved the accounts & rectified inconsistencies, achieving a 20% increase in the precision of financial reports. • I have reconciled three years of financial records for a small business, resulting in accurate tax filings and improved financial health.
2021
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