Highly motivated Data Analyst with hands-on experience in data manipulation, analysis, and visualization. Skilled in collaborating with cross-functional teams and utilizing data science tools to derive valuable insights. Committed to driving data-informed decision-making.
Technologies: PySpark, SQL, SPSS, PowerPoint, PowerBI, Microsoft Excel, R
Achievements:
Technologies: Microsoft Excel-E-Views-CAMFAR-Microsoft Project-PowerPoint
The capstone project of Falcon9-SpaceX, 01/01/23, 04/01/23
Proficient in data science and machine learning techniques, applied to real-world data sets to deliver actionable stakeholder insights. Skilled in data collection, cleaning, exploratory analysis, and visualization, with expertise in developing and evaluating machine learning models using Python. Evaluated model performance and identified optimal solutions for predictive analysis.
The market research study, 04/01/21, 07/01/21
Designed questionnaires that asked specific questions to determine what our customers wanted and listened to their feedback. Cleaned data by addressing missing values, and outliers and using statistical procedures, in Excel. Applied advanced techniques in SPSS such as extracting useful information from the factor analysis and bringing out hidden patterns. Developed perceptual maps for marketing purposes based on the primary needs of customers as well as demographic variables.
Construction of powerplant, 12/01/20, 03/01/21
Led a thorough feasibility study for IREN Company, integrating economic analysis and risk management to evaluate project viability. Planned, controlled, and budgeted the project with a team of six using Microsoft Project (MSP) and Excel to ensure effective timely implementation.