Summary
Overview
Work History
Education
Skills
Certification
Coursework
Projects
Websites
References
Timeline
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Sufian Ali Mohammed

Chicago,US

Summary

Strategic and results-driven Data Analyst with a proven track record of transforming complex insights into high-level strategic initiatives. Not just a data interpreter — a business advisor. Experienced in influencing Directors and VPs through data storytelling, metric design, and forecasting models that drive customer retention, churn reduction, and sales growth. Adept at leading cross-functional projects and spearheading data-first decision-making in fast-paced environments.

Overview

6
6
years of professional experience
1
1
Certification

Work History

Data Analyst

Lawson Products
Chicago, Illinois
01.2024 - Current
  • Presented executive-level insights and data-driven strategies using Power BI to stakeholders, VPs, and Directors.
  • Developed and deployed forecasting models and churn analysis using Python and SQL.
  • Led projects to track account health, customer status, and retention metrics across all lifecycle stages.
  • Built customized BI models and automated dashboards for sales and operations, aligning data pipelines with reporting needs.
  • Designed and implemented custom KPIs based on project type, calculating results and presenting findings to leadership.
  • Collaborated with auditors for data extraction, validation, and regulatory reporting across departments.
  • Optimized sales workflows in partnership with Inside Sales team, increasing efficiency and revenue growth.
  • Created automated reporting processes with macros in Excel, minimizing manual effort and enhancing productivity.

Data Analyst

Converse Systems
06.2023 - 12.2023
  • Analyzed customer service ticket data to identify high-friction touchpoints, reducing resolution time by 12%.
  • Designed and implemented Post-Interaction Feedback Database for capturing satisfaction scores and agent performance.
  • Partnered with leadership to establish KPI frameworks for CSAT, FCR, and SLA adherence.
  • Developed interactive dashboards to monitor real-time trends in customer service metrics.
  • Identified patterns in ticket volume spikes related to product updates; proposed communication strategy that decreased ticket load by 18%.
  • Created custom data pipelines using Python and SQL for weekly operations reports, enhancing accuracy and cutting processing time by 50%.

Business Operations Analyst

Amazon
04.2021 - 08.2021
  • 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

Operations Analyst

Amazon
07.2020 - 03.2021
  • 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

Digital and Devices Lead

Amazon
09.2019 - 05.2020
  • 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

Master of Science - Information Technology

Minnesota State University
Mankato, Minnesota
01.2023

Bachelor - Electronics and Communication Engineering

Osmania University
Hyderabad, India
01.2019

Skills

  • Data science
  • Predictive modeling
  • Data visualization
  • SQL database management
  • KPI development
  • Business intelligence
  • Data analysis
  • Power BI
  • Python
  • Forecasting models
  • Performance metrics
  • Performance analytics
  • Data-driven decision making
  • Customer relationship management
  • Reporting strategies
  • Problem solving
  • Customer retention strategy
  • Product customer retention
  • Customer retention mastery
  • ETL processes
  • Tableau experience
  • Microsoft Excel mastery
  • Workflows automation
  • Strategic thinking
  • Data governance
  • Teamwork oriented

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.

Projects

  • The Rocking Chair: Retirement Calculator Built a web app using Python (Flask) and React for retirement planning.
    Features include scenario comparison, dynamic charts, and validation against top calculators.
  • Laptopify: E-commerce Website Developed an online laptop store using the MERN stack (MongoDB, Express, React, NodeJS).
    Features include product catalog, search, cart, secure PayPal checkout, and order tracking.
  • Cloud-Enabled NoSQL Database for Business Optimization Implemented a NoSQL database with MongoDB for a food truck business.
    Conducted data migration from SQL, configured replication, and performed querying/reporting.
  • Delta Airlines Flight Booking System: Software Quality Testing Conducted functional, security, and compatibility testing.
    Designed test cases, data flow diagrams, and risk assessments to identify and resolve software defects

References

References available upon request.

Timeline

Data Analyst

Lawson Products
01.2024 - Current

Data Analyst

Converse Systems
06.2023 - 12.2023

Business Operations Analyst

Amazon
04.2021 - 08.2021

Operations Analyst

Amazon
07.2020 - 03.2021

Digital and Devices Lead

Amazon
09.2019 - 05.2020

Master of Science - Information Technology

Minnesota State University

Bachelor - Electronics and Communication Engineering

Osmania University