Muhammad Abid

• Provided insight into Growths performance and customer experience by examining data from web traffic,
call center, and 40+ other sources.
• Created a new reporting tool in Python to track weekly website usage statistics across 60+ geographies,
replacing an obsolete system with 66% efficiency.
• Designed automated tests for a Django application using Python unit testing and Selenium WebDriver API
for browser automation testing; increased 82% of test coverage.
• Automated manual processes using Python scripts, reducing the time spent manually analyzing data by
74% in the first quarter.

<p>Working with to Big Client “Saudi Telecom Company” and “STC”<br>
Collaborate with clients and internal teams to define project objectives, KPIs, and data science requirements.<br>
Responsible for analyzing supply chain data and key performance indicators (KPIs) to identify trends, anomalies, and areas for improvement.<br>
Deliver value to the client by building analytical reports that allow business stakeholders to easily interpret data.<br>
Helping with data warehousing, transfer, and integration to maintain operational Power BI dashboards for Huawei and STC entities.<br>
Developed Power BI reports and dashboards from multiple data sources and published them on Power BI Service.<br>
Implemented row-level security in Power BI workspaces depending on the type of access required.<br>
Designed, implemented, and automated ETL pipelines to extract, clean, and transform raw data for analysis, ensuring data quality and accuracy.<br>
Prepared regular and ad-hoc reports, including dashboards and scorecards, to communicate healthcare.<br>
Evaluated and enhanced data analysis processes, tools, and techniques to ensure accuracy, efficiency, and relevance over time.<br>
Defined and tracked key performance indicators in collaboration with Huawei and STC.<br>
Work on SQL queries, stored procedures, views, based on the requirements.<br>
Developed machine learning models for Stock Prediction for Huawei using Python libraries like Scikit-learn or TensorFlow for tasks such as classification, regression, and clustering.<br>
Develop a comprehensive data pipeline leveraging Excel, Python, SQL, and Power BI.</p>

<p>Drove the organization to remarkable achievements, realizing an exceptional growth rate of 70% over tone years.<br>
Proactively identified solutions to enhance the sales team's capabilities.<br>
Plan and develop designs and procedures for metrics reports.<br>
Developed 20+ Tableau dashboards for various business units, resulting in improved data visualization and decision-making.<br>
Tableau Developer/Server preparing Ad-hoc Reports, Interactive visualization Charts and Dashboards to the senior/top management and In Tableau administration.<br>
Perform market analysis to efficiently objectives, increasing sales by 20%+ in 5 consecutive quarters.<br>
Report Development - design, develop, and maintain reports and dashboards using reporting tools such as Tableau, Power BI, Excel, or similar tools.<br>
Translate business requirements into visually appealing and interactive data visualizations.<br>
Data Visualization - create clear and concise data visualizations, charts, graphs, and Dashboards that effectively communicate insights and facilitate data-driven decision-making.<br>
Customize visualizations to meet specific business needs and user requirements.<br>
Investigate and conduct studies on the forecasts, demand, and capital of proposed products.<br>
Optimized data collection procedures and generated reports on a weekly, monthly, and quarterly basis.<br>
Deep experience with the design and development of Tableau visualization solutions.<br>
Collecting, collating and carrying out complex data analysis in support of management & customer requests<br>
Also involved in reporting statistical findings to work colleagues and senior managers<br>
Used advanced Microsoft Excel the XLOOKUP function to efficiently create pivot tables pivot reporting.<br>
Report Performance Optimization report performance by tuning queries, optimizing data models.<br>
Implementing efficient data retrieval techniques Ensure reports load and refresh within acceptable timeframes.<br>
Data Quality Assurance - validate and verify the accuracy and consistency of data used in reports.<br>
Perform data quality checks and resolve any data-related issues or discrepancies.<br>
Effective communicator with good analytical skills, numerical skills, and problem-solving skills with Self-starter attitude.<br>
Report Documentation - document report requirements, data sources, and report specifications sharing and future reference.<br>
Tableau is a Data Visualization and Business Intelligence tool that converts data from different data sources to interactive dashboards and Tableau reports.<br>
Tableau suite provides multiple software, connector, and services.</p>

<p>Preparing and cleaning datasets by handling missing values, outliers, and inconsistencies using Python libraries like Pandas and NumPy.<br>
Analyzing customer data to understand behaviors, preferences, and segmentation, and identify opportunities to improve customer experience and retention.<br>
Using Power BI to analyze marketing campaigns and find ways to improve them.<br>
Utilizing APIs to extract structured data from external sources efficiently.<br>
Used web scraping techniques to gather relevant information from websites.<br>
Using Python to predict what might happen with marketing campaigns in the future.<br>
Implementing data governance principles to ensure data quality, accuracy, and compliance in marketing analytics processes.<br>
Optimized data collection procedures and generated reports on a weekly, monthly, and quarterly basis.<br>
Deep experience with the design and development of Power BI Tableau visualization solutions.<br>
Collecting, collating and carrying out complex data analysis in support of management & customer requests.<br>
Also involved in reporting statistical findings to work colleagues and senior managers.<br>
Used advanced Microsoft Excel the XLOOKUP function to efficiently create pivot tables pivot reporting.<br>
Report Performance Optimization report performance by tuning queries, optimizing data models.<br>
Implementing efficient data retrieval techniques Ensure reports load and refresh within acceptable timeframes.<br>
Data Quality Assurance - validate and verify the accuracy and consistency of data used in reports.<br>
Perform data quality checks and resolve any data-related issues or discrepancies.<br>
Effective communicator with good analytical skills, numerical skills, and problem-solving skills with Self-starter attitude.<br>
Report Documentation - document report requirements, data sources, and report specifications sharing and future reference.<br>
Tableau is a Data Visualization and Business Intelligence tool that converts data from different data sources to interactive dashboards and Tableau reports.<br>
Manipulating, cleansing & processing data using Excel, Access and SQL.<br>
Responsible for loading, extracting and validation of client data.</p>

<p>Data Engineer with a passion for harnessing the power of data to drive organizational Proficient in data processing, ETL development, and database management, experience in Python, SQL.<br>
Junior SQL developer with data management and delivering projects time and under budget.<br>
Key achievement: devised, created and maintained an analytics database with 30+ vital KPIs for performance reporting.<br>
Assisted in developing a management database to handle company inventory for 150+ HNIs, saving them $7200+ in annual overhead costs.<br>
Conceived and developed indexes to reduce processing times from 45 minutes to 53 seconds in the first month of joining the team.<br>
Designed and maintained a group of 40+ onsite databases using automation; improved efficiency and freed up 210+ person-hours annually.<br>
Created and maintained index tables, database reports, and documented application functions.</p>