Hi, I’m
Sufian Ali Mohammed
Chicago,US
Summary
Results-driven data analyst professional with keen eye for detail and passion for uncovering actionable insights from data. Proven track record of utilizing data analysis and visualization tools to drive business decisions and optimize processes. Team-oriented with strong focus on collaboration and adaptability, consistently delivering reliable results in dynamic environments.
Overview
5
years of professional experience
3
Certification
Work History
Lawson Products
Data Analyst
01.2024 - Current
Job overview
- Leveraged data visualization tools like Power BI to present actionable insights and recommendations to stakeholders and company VPs.
- Conducted analysis, machine learning, and forecasting using Python and data modeling, data analysis and advanced DAX queries in Power BI.
- Utilized SQL for data extraction and manipulation, enhancing decision-making processes through accurate analysis.
- Created Excel dashboards, automated processes, created macros, and Microsoft Access forms to streamline reporting and metrics tracking.
- Delivered churn prediction analysis and strategy recommendations to optimize resource allocation.
- Managed ad hoc reporting, including generating and distributing reports to 1,000+ employees.
- Applied advanced Excel functions for day-to-day analytics and business operations.
Converse Systems
Data Analyst
06.2023 - Current
Job overview
- Analyzing data using statistical techniques and providing reports
- Developing and implementing databases and data collection systems
- Assisted in defining KPIs and tracking parameters for enhanced business performance measurement
- Identifying, analyzing, and interpreting trends or patterns in complex data sets
Amazon
Business Operations Analyst
04.2021 - 08.2021
Job overview
- Perform comprehensive data analysis using Tableau to uncover insights, detect trends, and deliver data-driven recommendations for enhancing business operations and sales performance
- Employ Excel for process data tracking and analysis
- Cleaning, filtering, and integrating datasets for analysis and reporting
- Develop visually engaging reports and interactive dashboards using Tableau and Amazon QuickSight
- Manage and track project tasks and workflows using Jira, ensuring that process improvement initiatives are executed efficiently
- Innovative solutions that drive business performance improvements
- Improved process efficiency by attributing SOPs, workflows, metrics
- Create reports, and data visualizations
Amazon
Operations Analyst
07.2020 - 03.2021
Job overview
- Utilize Excel for data analysis to identify trends, monitor seller performance, and contribute to data-driven decision-making for process improvements
- Employ various In-house technical tools and software, including Amazon's internal systems, CRM software, and data analysis tools to efficiently manage seller interactions and tasks
- Created data-rich dashboards for sellers, offering insights into their performance and sales
- Provide comprehensive support to Amazon sellers, addressing their inquiries, resolving issues, and ensuring a positive seller experience
Amazon
Digital and Devices Lead
09.2019 - 05.2020
Job overview
- Worked on Improving the efficiency of Mayday Screen sharing by Amazon to enhance the quality of customer support
- Implemented ServiceNow to handle Internal Tickets and workflow processes
- Assisted in collecting, organizing, and analyzing customer data related to device usage, feedback, and preferences to provide insights that can inform product improvements
- Collaborated with data engineering teams to make sure that customer device data is securely and efficiently handled and integrated into Amazon's data systems for further analysis
- Troubleshooting technical issues for software and hardware devices using in house tools
- Assisted customers in updating device Firmware, software, and applications to ensure the latest features and security
Education
Minnesota State University, Mankato, Minnesota
Master's from Information Technology
01.2023
University Overview
- Honor Graduate
- GPA: 3.7
Osmania University
Bachelor from Electronics and Communication Engineering
01.2019
University Overview
Excelled in Network and transmission lines and Digital communication.
Skills
- Data visualization and presentations
- Data analysis
- Python programming
- Microsoft Excel
- SQL
- Data cleaning
- Analytical problem solving
- Statistical analysis
- Attention to detail
- R programming
- Tableau
- Data validation
- Machine learning
- Data storytelling
- Business intelligence tools
- Data warehousing
- ETL processes
- Reporting tools
- Data science
Certification
- Machine Learning with Python, LinkedIn Learning, 2024, Strong understanding of machine learning concepts, including supervised learning, and the complete model-building lifecycle—from data collection to deployment. Proficient in Python’s ML libraries (Pandas, Matplotlib, scikit-learn) for data analysis, predictive modeling, and data-driven decision-making.
- Data Analytics for Business Professionals, International Institute of Business Analysis (IIBA), 2023, Enhanced skills in interpreting complex datasets, Data Cleaning, Sampling, Predictive and prescriptive analytics, applying statistical analysis, creating impactful visualizations, Forecasting and making informed business decisions. Developed a strategic understanding of how data analytics informs and influences business decisions.
- Data Analytics, Springboard, 2021, 400+ hours of hands-on course material, with 1:1 industry expert mentor oversight, and completion of 2 in-depth capstone projects. Mastered skills in analyzing business problems, data analysis, presenting business insights to different stakeholders., https://www.credential.net/c9495b69-353b-43da-a39b-54ce955a401e
Coursework
- Database Management Systems (2021): Covered SQL, query optimization, concurrency control, and database security in distributed environments.
- Advanced Database Management Systems (2022): Explored object-oriented and parallel databases, data warehousing, multi-database integration, and secure systems.
- Database Security and Disaster Recovery (2022): Focused on secure database design, transaction processing, auditing, and disaster recovery strategies.
- Reporting Information Security Risks (2022): Analyzed risks using data visualization, white papers, and audience-specific reporting for compliance and audit.
- Network Infrastructure and Services (2022): Studied network architecture, security principles, routing, and switching technologies.
- Windows Server Administration (2023): Hands-on experience with server virtualization, Active Directory management, and troubleshooting.
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