Motivated MSBA student with a robust engineering background seeking a position in a dynamic role. I am eager to leverage my analytical skills for problem-solving and enhance my professional and soft skills.
Motivated MSBA student with a robust engineering background seeking a position in a dynamic role. I am eager to leverage my analytical skills for problem-solving and enhance my professional and soft skills.
University of Louisville | Louisville, KY, USA
Master of Science in Business Analytics (Expected Graduation: July 2024)
University of Technology | Baghdad, Iraq
Bachelor of Science in Architectural Engineering (2014)
Throughout my MSBA studies, I have actively engaged in various hands-on projects, encompassing machine learning, SQL, data cleaning, and more. These projects have provided me with valuable opportunities to apply theoretical knowledge to real-world scenarios, refine my analytical skills, and demonstrate my ability to derive actionable insights from data. Below, I highlight some key projects showcasing my proficiency in data analysis, problem-solving, and critical thinking.
Database Management (SQL):
Utilized advanced SQL querying techniques to efficiently retrieve complex information from databases featuring multiple interconnected tables. Leveraged SQL JOINs, subqueries, and aggregate functions to extract valuable insights and perform in-depth analysis, ensuring data integrity and optimizing query performance.
Statistical Analysis (SPSS):
Utilized SPSS for regression analysis, time-series analysis, and assessing statistical hypotheses, enhancing decision-making processes through rigorous statistical examination.
Machine Learning:
Applied supervised learning algorithms such as linear regression and tree-based models (including decision tree, random forest, and XGBoost) to address regression and classification problems. Additionally, successfully implemented unsupervised learning algorithms for anomaly detection.
Power BI:
Recognizing the significance of Power BI in visualizing complex datasets, I proficiently utilized its capabilities to create interactive dashboards that drive informed business solutions.
Python:
Data Analysis: Proficient in utilizing Pandas and NumPy libraries for comprehensive data analysis, including data manipulation, transformation, and exploration.
Statistical Analysis: Experienced in conducting statistical analysis using SciPy library, including hypothesis testing, probability distributions, and statistical modeling.
Visualization: Skilled in data visualization techniques using Matplotlib and Seaborn libraries to create insightful and visually appealing plots, charts, and graphs.
Machine Learning: Capable of implementing machine learning algorithms using Scikit-Learn and TensorFlow libraries for tasks such as classification, regression, clustering, and deep learning.
R:
Data Cleaning and Manipulation: Proficient in data cleaning and manipulation techniques using Tidyverse and Dplyr packages, ensuring data integrity and consistency.
Visualization: Experienced in data visualization using ggplot package, creating clear and informative visualizations to communicate insights effectively.
Machine Learning: Capable of implementing machine learning algorithms in R using packages such as caret and mlr for tasks such as classification, regression, clustering, and feature selection, enhancing data-driven decision-making processes.
SQL:
Visio: Competent in using Visio to visually depict database tables, attributes, and relationships, facilitating clear understanding and communication of database structures.
Database Management: Skilled in database management tasks using SQL Server and pgAdmin, including database creation, querying, optimization, and maintenance. Proficient in writing SQL queries ranging from simple SELECT statements to retrieve information to more complex queries involving aggregations, joins, subqueries, and window functions. Experienced in creating and managing database objects such as views, stored procedures, functions, and common table expressions (CTEs) to enhance data organization, access control, and query performance.
SPSS:
Descriptive Statistical Analysis: Proficient in conducting descriptive statistical analysis to summarize and interpret data using SPSS, including measures of central tendency, dispersion, and graphical representations.
Regression and Time Series Analysis: Experienced in performing regression analysis and time series analysis using SPSS, including linear regression, logistic regression, and forecasting techniques for time-dependent data.
Power BI:
Develop calculated columns and measures utilizing Data Analysis Expression (DAX) in Power BI.
Extract, Transform, and Load (ETL) operations using Power Query in Power BI, establishing relationships between tables in the model.
Construct calculated measures and Key Performance Indicators (KPIs) with DAX in Power BI to meet business requirements.
MS Excel:
Data Analysis: Proficient in performing comprehensive data analysis tasks in MS Excel, including data cleaning, filtering, and sorting analysis to derive meaningful insights from large datasets.
Visualization: Skilled in creating visually appealing charts, graphs, and dashboards using MS Excel's built-in visualization tools, such as charts, sparklines, and conditional formatting.
ArcGIS:
Data Acquisition: Proficient in obtaining GIS data from various sources for analysis and visualization.
Projections Mastery: Skilled in understanding and managing projections for accurate spatial representation.
Field Data Collection: Experienced in collecting GIS data in the field to enhance spatial analysis. • Web Mapping Development: Capable of building online web maps and mapping applications using ArcGIS.com.
Problem-solving: Ability to tackle real-world GIS challenges through practical application and problem-solving techniques.
Excellent problem-solving skills with a focus on delivering actionable insights from data analysis.
Strong attention to detail and ability to manipulate and clean large datasets efficiently.
Effective communication skills for presenting complex technical concepts to non-technical stakeholders.
Proven ability to work independently and collaboratively in fast-paced environments.
Adaptability to learn new technologies and tools quickly to stay current in the field of data analysis and visualization.
Commitment to meeting project deadlines and delivering high-quality results under pressure.
Exceptional organizational skills for managing multiple tasks and priorities effectively.
Demonstrated ability to build and maintain positive relationships with clients and team members.
Proactive approach to identifying opportunities for process improvement and optimizing workflow efficiency.
Dedication to continuous learning and professional development to enhance technical and soft skills.
Architectural Designer
I participated in designing various projects like residential and commercial buildings by implementing 2D and 3D drawings. During this tenure, I honed my ability to work independently while also refining my communication skills to effectively engage with potential clients.
Project Coordinator
In addition to my role as a site engineer overseeing daily fit-out operations, I worked as a Project Coordinator, where I took charge of orchestrating various project activities. This included meticulous planning, overseeing work schedules, managing administrative tasks, and conducting budgeting and cost estimations.Through this experience, I further developed my skills in time management, teamwork, and effective collaboration within a dynamic project environment.