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Timeline
Hi, I’m

MOHAMMED MUDASSIR ALI

Data Analyst
Minneapolis,MN
MOHAMMED MUDASSIR ALI

Work Preference

Work Type

Full Time

Location Preference

On-SiteRemoteHybrid

Important To Me

Career advancementWork-life balanceCompany CulturePersonal development programs

Summary

Experienced Data Analyst skilled in translating intricate data into actionable insights using Excel, Power BI, and Tableau. Proficient in creating dynamic dashboards and predictive analytics to support informed decision-making. Dedicated to optimizing operational efficiency through meticulous data management and innovative problem-solving strategies.

Overview

4
years of professional experience
1
year of post-secondary education

Work History

MS Engineering Service

Logistics Supervisor
01.2018 - 02.2022

Job overview

  • Spearheaded the collection and validation of raw logistics data, ensuring accuracy and consistency across multiple sources.
  • Utilized advanced Excel functions, including data validation and filters, to clean and structure data for analysis.
  • Developed dynamic dashboards and reports using Excel pivot tables, providing real-time insights into logistics operations.
  • Leveraged Power BI and Tableau to create interactive visualizations, enhancing data accessibility and decision-making processes.
  • Employed predictive modeling techniques in Tableau to forecast logistics trends, aiding in proactive planning and resource allocation.
  • Designed and implemented KPIs to monitor logistics efficiency, identifying areas for improvement and driving continuous optimization.

Education

Concordia University-Saint Paul
MINNEAPOLIS

Master of Science from Data Analytics
09.2024 - Current

University Overview

Master’s Student in Data Analytics | Concordia University, St. Paul

Currently in my third semester, I am immersed in advanced data analytics coursework, focusing on:

  • Business Intelligence & Decision Support: Developing strategies to leverage data for informed decision-making.
  • Ethics in Business: Understanding the ethical implications of data usage and Data Visualization & Dashboard Reporting: Crafting intuitive dashboards to represent complex data effectively.
  • Database Management Systems: Managing and structuring data for optimal accessibility and analysis.
  • Programming Analytics: Applying programming skills to analyze and interpret.
  • These subjects have deepened my understanding of data's role in business and the importance of ethical considerations in data analysis.
  • My interest in data visualization has led me to create several dashboards, which are published on Tableau Public. These projects showcase my ability to transform raw data into insightful, interactive visualizations.
  • I am eager to continue developing my skills and contribute to the field of data analytics through both academic and practical experiences.

Skills

  • Predictive modeling
  • Dashboard Reporting
  • Tableau Expertise
  • SQL databases
  • Problem Solving
  • Data Mining

Accomplishments

Accomplishments

Authored a Research Paper and published in SSRN portal. The published paper is "Visual Analytics: A comparative study of Tableau and Power BI"

Certification

  • Tableau
  • Microsoft Power BI
  • Advance Excel
  • SQL
  • Python
  • Digital Marketing Certified
  • Social Media Management Certified
  • Hootsuite Certified
Availability
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Software

Python

Tableau

Power BI

Microsoft 360

SQL

Interests

Road Adventures

Learning New skills

Quote

Judge a man by his questions rather than his answers.
Voltaire

Projects

Projects
  • UBER ANNUAL PERFORMANCE DASHBOARD-TABLEAU
  • Provides a consolidated annual overview, visualizing key Uber performance metrics such as total trips, revenue trends, driver activity, and customer patterns across the year.
  • Identifies peak demand periods through time-series charts, helping users understand monthly, weekly, and hourly fluctuations in rider behavior.
  • Highlights geographic performance with interactive maps that reveal top-performing cities, high-density pickup zones, and regional trip distribution.
  • Evaluates driver efficiency and utilization, showcasing indicators like average trip duration, earnings per driver, and active vs. inactive driver ratios.
  • Improves decision-making by offering KPI cards and trend lines that clearly compare year-over-year performance and detect growth or decline patterns.
  • Enhances user exploration through interactive filters, tooltips, and drill-down features, enabling stakeholders to analyze performance from multiple perspectives.

AIRBNB PERFORMANCE DASHBOARD ACROSS EUROPE-TABLEAU

  • Delivers a comprehensive regional overview, visualizing key Airbnb metrics such as occupancy rates, average nightly prices, host activity, and revenue trends across major European cities.
  • Reveals geographic performance patterns through interactive maps that highlight top-performing countries, city-level demand hotspots, and variations in listing density.
  • Shows market behavior and seasonality, identifying peak booking periods, pricing fluctuations, and guest preferences using time-series and segmentation views.
  • Enables data-driven insights with filters and drill-downs that allow users to compare markets, evaluate host performance, and identify opportunities for strategic growth.

COVID-19 IMPACT IN USA DASHBOARD-TABLEAU

  • Provides a nationwide analytical view, showcasing key indicators such as daily cases, deaths, recoveries, testing rates, and vaccination progress across all U.S. states.
  • Highlights regional disparities and trends through interactive maps and comparative charts that reveal hotspots, decline periods, and state-by-state performance.
  • Captures temporal patterns and waves, using time-series visualizations to illustrate infection surges, policy impacts, seasonal shifts, and overall pandemic progression.
  • Enables informed public-health insights with dynamic filters and drill-downs that allow users to explore demographics.

Languages

English
Full Professional
Hindi
Native or Bilingual

Additional Projects

Additional Projects
Heart Disease Prediction Model 
  • Developed an interactive predictive analytics dashboard in Tableau to assess the likelihood of heart disease based on key health indicators such as blood pressure, BMI, obesity levels, gender, and physical activity. The model integrates multiple risk factors into a unified visualization, enabling clear insights into correlations and potential health outcomes.
  • Data-driven approach: Leveraged statistical relationships between lifestyle and clinical variables.
  • Visualization: Designed intuitive charts and dashboards for easy interpretation of risk levels.
  • Predictive capability: Built a scoring framework to highlight individuals at higher risk.
  • Impact: Demonstrates how data visualization can support preventive healthcare decisions and awareness.
Gas Price Variation Dashboard 

Designed and implemented an interactive Tableau dashboard to analyze and visualize gas price fluctuations across the United States. The dashboard provides a comprehensive view of regional and temporal variations, helping identify patterns and trends in fuel costs.

  • Data integration: Combined datasets from multiple states to capture nationwide gas price dynamics.
  • Visualization: Built maps, trend lines, and comparative charts to highlight regional disparities and time-based changes.
  • Insights: Enabled users to explore correlations between geography, economic factors, and fuel price volatility.
  • Impact: Supports decision-making for businesses, policymakers, and consumers by offering clear visibility into fuel cost trends.
Super Store Sales Dashboard 

Developed a comprehensive Tableau dashboard to analyze and visualize sales performance across product categories, regions, and customer segments for a retail superstore. The dashboard provides actionable insights into revenue trends, profitability, and customer behavior.

  • Data integration: Consolidated transactional data to create a unified view of store performance.
  • Visualization: Designed interactive charts, maps, and KPIs to highlight sales distribution and profit margins.
  • Insights: Identified top-performing products, regional sales variations, and customer purchasing patterns.
  • Impact: Supports strategic decision-making by enabling managers to track performance, optimize inventory, and improve profitability.

Timeline

Concordia University-Saint Paul
Master of Science from Data Analytics
09.2024 - Current
Logistics Supervisor
MS Engineering Service
01.2018 - 02.2022
MOHAMMED MUDASSIR ALIData Analyst
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