Data Analytics Machine Learning

Balah Muhammad II

***************@*****.*** 504-***-**** www.linkedin.com/in/balahmuhammad/

SUMMARY

Data-driven financial professional with a strong foundation in statistical analysis, data modeling, and risk assessment. Proficient in utilizing data analytics to drive business decisions, optimize financial performance, and mitigate risks. Background in sales and finance, leveraging data insights to enhance profitability and customer acquisition. Adept in using programming languages such as Java, R, C++, and SQL for data manipulation and predictive modeling. Passionate about delivering actionable insights through analysis.

CAPSTONE PROJECTS

Lyon Bucks (May-2023 to Oct-2023)

• Participated in a 12-week intensive bootcamp to develop and enhance a food delivery application, progressing from core functionality development to optimizing user experience and maintaining the application.

• Integrated data analytics and machine learning models to predict user demand, improve delivery times, and optimize customer satisfaction.

• Worked within an Agile/Scrum framework, collaborating with developers, analysts, and stakeholders to continuously improve the application.

• Prepared a detailed report on system performance and user behavior. Sales Data Visualization and Trend Analysis

• Conducted Analyzed sales data from a fictional retail company using Python (Pandas, Matplotlib) and Tableau.

• Identified key sales trends and provided actionable insights on product performance and seasonal demand.

• Presented a comprehensive report summarizing trends and offering data-driven recommendations to stakeholders in mock scenario.

EDUCATION

Lyon College - Double Major: Bachelor of Arts in Anthropology & Computer Science PROFESSIONAL EXPERIENCE

Financial Professional– New York Life Oct 2023- Present

• Analyzed financial trends and risk profiles to develop customized insurance and investment solutions for clients, leveraging data-driven insights to optimize portfolio performance.

• Built and maintained financial models to assess risk exposure, investment returns, and profitability forecasts, ensuring informed decision-making.

• Utilized data visualization tools (Power BI, Tableau) to create dashboards for tracking financial health, revenue growth, and customer acquisition patterns.

TECHNICAL SUMMARY

Primary Tech Stack

Languages: Python, SQL, Java

Data Tools: Tableau, Power BI, Excel

Databases : MySQL, PostgreSQL

Machine Learning: Predictive Modeling

Secondary Skills

Languages: C++ & R

Data Tools: Matplotlib, ETL pipelines

Databases: MongoDB & Snowflake

TRAINING & CERTIFICATIONS

• Tech Fusion: 12-week Post grad Bootcamp focused on Data handling & Java backend technologies.

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