M.Reza Abedi

Business intelligence & Data Analyst

"I enjoy uncovering the connections in numbers and turning them into meaningful stories that provide actionable strategies for success in the age of Big Data. I see myself as a valuable tool for decision-makers."

About me

Welcome to my digital space!

I'm MohammadReza Abedi, and since 2019, I've been immersed in the dynamic realm of data. As a dedicated Business Intelligence and Data Analyst, I find joy in unraveling the stories hidden within numbers.


My journey into the world of data began in 2019, and from that pivotal moment, I've been on a mission to harness the power of analytics to guide strategic decision-making. I bring a unique perspective to the table, merging technical proficiency with a passion for transforming complex datasets into actionable insights.

Data Skills for Business Impact

Competence


Proficient in data architecture, integration, quality, and advanced analysis tools such as SQL and statistical programming.



Business Area Focus


Specialized in Business Intelligence, with a focus on strategic decision-making through effective data architecture and advanced analytics.

Key Strengths


Strong foundation in enhancing business processes, ensuring data quality, and leveraging cutting-edge technologies for impactful

BI solutions.

Data Analysis Competencies

Statistical Analysis

Programming Skills

  • Proficiency in statistical methods and tools for analyzing and interpreting data.

  • Ability to apply statistical techniques to draw meaningful conclusions and make predictions.

IBM Watson Studio, Cognos Analytics,

SAS, Power BI, Tableau

    • Proficiency in programming languages commonly used in data analysis, such as Python or R.


    • Knowledge of data manipulation libraries (e.g., pandas in Python) and statistical libraries (e.g., SciPy, StatsModels).

    Data Cleaning and Preprocessinga

    • Skill in cleaning and preprocessing raw data, handling missing values, and addressing outliers.

    • Knowledge of data imputation techniques and data normalization.

    Database Management

      • Skill in cleaning and preprocessing raw data, handling missing values, and addressing outliers.

      • Knowledge of data imputation techniques and data normalization.

      Data Visualization

      • Proficiency in data visualization tools such as Tableau, Power BI, or matplotlib/seaborn in Python.

      • Ability to create clear and compelling visualizations to communicate findings.

      Machine Learning Basics

      • Familiarity with machine learning concepts and algorithms.
        Understanding of supervised and unsupervised learning, regression, classification, and clustering.

      Data Management and Analytics Proficiency

      I believe the seamless integration and adept use of these tools significantly enhance efficiency and empower data-driven decision-making.

      Database Management

      • Skilled in managing SQL database systems like MySQL, Oracle, and Microsoft SQL Server.

      BI and Data Visualization

      • Proficient in using Business Intelligence tools such as Power BI, Tableau, and QlikView.
      • Experienced in leveraging Microsoft Excel for data analysis and reporting.

      ETL Process

      • Expertise in the Extract, Transform, Load (ETL) process.

      Cloud Platforms

      • Worked with Microsoft Azure and GCP for data storage, processing, and advanced analytics.
      • Familiar with distributed computing using Microsoft Fabric.

      Data Sources and APIs

      • Experienced in utilizing various data sources and APIs, including Google Analytics, Twitter API, and Facebook Graph API.

      Data Querying

      • Proficient in both SQL and NoSQL data querying languages.

      Data Management and Analysis

      • Hands-on experience with data management tools like Python,R, DAX, M.
      • Familiar with machine learning and data mining.

      Data Exploration

      • Skilled in data exploration tools such as Apache Spark and Hadoop.

      JavaScript and Node for Metadata

      • Applied JavaScript for effective metadata management.
      • Utilized Node.js for additional capabilities in handling metadata.

      Problem-Solving and Methodologies

      • Demonstrated strong problem-solving and analytical thinking skills.
      • Applied Agile development methodologies, including Scrum and Kanban, in practical scenarios.

      Personal Attributes

      Critical Thinking and Problem-Solving


      Effective Communication

      Business Acumen

        Collaboration and Teamwork

          Continuous Learning Mindset

          • Ability to think critically and approach problems analytically.
            Strong problem-solving skills to extract actionable insights from data.

          • Effective communication skills to articulate findings and insights to both technical and non-technical stakeholders.

          • Ability to create reports and presentations that convey complex information in a clear and understandable manner.

          • Understanding of business objectives and the ability to align data analysis efforts with strategic goals.

          • Awareness of the broader business context and the impact of data analysis on decision-making.

          • Ability to work collaboratively with cross-functional teams and stakeholders.

          • Openness to feedback and a collaborative mindset to enhance collective decision-making.

          • Commitment to staying updated on evolving tools and methodologies.

          • Willingness to engage in continuous learning for professional development.

          Explore My Work


          Welcome to the hub of my reports, cases, and articles. Here, you'll find a collection of my in-depth studies and projects. Click on the links below to delve into each topic:

           Your visit to my GitHub will provide a deeper insight into my technical expertise and the diverse range of projects I've been a part of.

          Feel free to get in touch!