Abi Joshua George - Data Analyst
Dallas, TX (Willing to Relocate) 945-***-**** ***********@*****.*** linkedin.com/in/abi-joshua-george GitHub: github.com/AJG-2001
Data Analyst with strong technical and analytical expertise in transforming raw data into actionable insights to support strategic decision-making. Skilled in Python, R, SQL, Excel, and BI tools such as Power BI and Tableau, with hands-on experience in data wrangling, visualization, and statistical analysis. Adept at building automated reports, forecasting trends, and developing machine learning models to solve real-world business problems. Comfortable working across diverse datasets and industries, combining analytical rigor with business intuition to deliver measurable value. Background in engineering enhances problem-solving mindset and attention to detail. Professional Profile
Programming & Software:
Python (Jupyter, Colab, VSCode) · R & RStudio · SQL (MySQL Workbench) · MongoDB · AWS Microsoft Excel (Solver, Pivot Tables, XLOOKUP, VLOOKUP, Power Query Editor) · Microsoft Power BI · Tableau Amazon QuickSight · Google Looker · Microsoft Word · Microsoft PowerPoint · Microsoft Azure Machine Learning & Statistical Analysis:
Linear & Logistic Regression · Decision Trees · Random Forest · Gradient Boosting · Neural Networks Time Series Forecasting (ARMA, ARIMA, ARCH, GARCH) · Regression Analysis · Trend & Correlation Analysis Natural Language Processing (NLP)
Data Visualization & Reporting:
Interactive Dashboards · KPIs · R Shiny Apps · Report Automation · OKRs Business & Soft Skills:
Problem Solving · Data-Driven Decision Making · Critical Thinking · Product Management Cross-Functional Team Collaboration · Effective Communication · AI Prompting Technical Skills
Hult International Business School Boston, Massachusetts Sep 2024 – Aug 2025 Airline Delay Analysis (SQL, AWS Athena): Leveraged AWS S3 and Athena to clean and query large flight delay datasets. Identified root causes of peak-hour delays, delivering actionable insights to improve on-time performance across major airports.
Spotify Track Popularity Classification (Python): Built predictive models (Decision Tree, Random Forest, Neural Net, Logistic Regression) to classify track popularity. Conducted time series forecasting (ARIMA) for genre-level trend analysis, supporting strategic music promotion insights. Mental Health Dashboard (Power BI): Designed an executive dashboard to track mental health KPIs (e.g., treatment engagement, psychological safety). Used DAX measures to create dynamic filters for HR teams to identify priority segments.
Relevant Projects
Chennai, TN, India Jul 2021 – Aug 2022
Reduced product defect rate by 15% by analyzing test performance data and driving iterative design improvements. Decreased material costs by 10% through SolidWorks design optimization and efficiency-driven decision-making. Supported regulatory audits by maintaining detailed documentation of product specs and defect investigations. Collaborated across QA and manufacturing teams to streamline testing protocols and improve turnaround time. Professional Work Experience
GESCO Healthcare Private Limited Mechanical Design Engineer Education
Master of Science in Business Analytics (MBAN)
Hult International Business School Boston, Massachusetts Sep 2024 – Aug 2025
Master of Science in Mechanical Engineering (MS)
University at Buffalo (SUNY) Buffalo, New York
Bachelor of Engineering in Mechanical Engineering (BEng Hons) University of Huddersfield Huddersfield, West Yorkshire, UK Aug 2022 – Feb 2025
Sep 2018 – Jul 2021