Machine Learning Data Analysis
Resume:
Mohammed Zain Mahmood
636-***-**** *******@*****.*** linkedin.com/in/mohammad-zain-b30854240
Education
Saint Louis University, St. Louis, MO
Master of Science in Information Systems May 2025
St. Joseph Degree and P.G. College Hyd, India
MBA in Finance and Statistics July 2023
Aurora Degree and P.G. College Hyd, India
Bachelor of Commerce and Computers Apr 2021
EDUCATIONAL Experience
Graduate Assistant
Saint Louis University May 2023
-Assisted fellow students via Microsoft Teams and Canvas to enhance understanding of complex concepts, promoting collaborative problem-solving.
-Supported professors with statistical research using SPSS for rigorous data analysis in hypothesis testing and predictive modeling.
-Delivered lessons in Finance, Marketing, HR, and Accounting using data visualization tools like Power BI and Tableau to improve student comprehension.
-Experimented with Blue-Green Deployment and Lambda functions in AWS for process automation and participated in AWS tutoring to enhance practical skills.
-Applied machine learning techniques in Information Retrieval/Analytics projects using Python libraries like Matplotlib and Scikit-learn for efficient data analysis.
Class Assistant, Aurora Degree and P.G. College Aug 2021
-Worked on Student performance Analysis Project where I Applied advanced data visualization techniques, such as pie charts and box plots, to analyze categorical variables like school type, family income, and learning disabilities.
-Investigated relationships between student performance and external factors, leveraging machine learning skills to build models predicting exam scores based on factors like study time and attendance.
-Explored and visualized key factors influencing student success through detailed histograms and scatter plots using Seaborn and Matplotlib. Learned how to apply advanced data visualization techniques, such as pie charts and box plots, to analyze categorical variables
-Implemented data cleaning techniques in Python to remove duplicates from inventory data before importing it into Tally, merging financial management practices with technical solutions
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Project on “Healthcare Data Analysis”
Saint Louis University Oct 2024
-Utilized Pandas for data cleaning and organization and employed Matplotlib and Seaborn for visualizations to uncover patterns in healthcare data, demonstrating strong Python data exploration skills.
-Applied feature engineering techniques to prepare key variables (age, BMI, smoking status) for machine learning, efficiently handling data using NumPy and Pandas.
-Built machine learning models including Linear Regression, Random Forest, and Gradient Boosting using scikit-learn.
-Evaluated and optimized models with metrics like Mean Squared Error (MSE) and R-squared (R ), identifying Gradient Boosting as the most accurate model.
Project on “An Empirical Study on the Capital Asset Pricing Model (CAPM)”
Anand Rathi Mar 2024
- Utilized Pandas for cleaning, transforming, and resampling stock market data for time-series analysis and predictive modeling.
-Calculated CAPM using Excel, implemented a linear regression model, and created scatter plots for stock market trends using Excel, providing data-driven insights.
-Built a Random Forest Regression model using Scikit-learn to predict stock prices, evaluating performance with Mean Squared Error (MSE)
-Applied machine learning and statistical methods to extract insights from stock data, enabling data-driven predictions of market trends.
-Created insightful visualizations using Plotly and Matplotlib to showcase relationships between variables for financial analysis
Certifications
Add-on-course in Tally with Payroll, Cost Centre, TDS, and TCS Oct 2020
NPTEL (Principles of Human Resource Management) Oct 2022
Microsoft Office Specialist Apr 2022
Advanced Excel Apr 2022
COURSES
Python Developer Jul 2024
AWS Jul 2024
Technical Skills
Tools: AWS, MS Office, MS Excel, JIRA, Nmap, Excel, Tableau, Power BI, IBM SPSS
Programming: HTML, Linux, SQL, JSON, Python, Java.
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