Applied Data Analytics and Statistical Modeling Specialist with MATLAB Neural Ne

I have managed official social media accounts for student organizations, including Facebook and Instagram, creating and scheduling 12–15 posts per month using structured captioning and engagement strategies. These efforts increased audience interaction by 45% over six months, while maintaining alignment with organizational branding and standards. I also monitored post performance and analytics to adjust content strategies, coordinated with team members for content approval, and ensured timely dissemination of announcements, events, and educational materials to a community of over 200+ members.

I am highly proficient in Microsoft Excel, utilizing advanced functions, formulas, and data analysis tools to manage, organize, and interpret complex datasets. I have created automated spreadsheets for academic and organizational projects, including tables with conditional formatting, pivot tables, and lookup functions, handling datasets of 100–500 entries. These tools enabled efficient tracking, calculation, and visualization of data, reducing manual errors by approximately 25%. I have also generated charts, dashboards, and summary reports to communicate insights clearly to instructors, team members, and student organization stakeholders.

I am proficient in Microsoft Word for document creation, formatting, and editing of academic reports, manuals, and organizational materials. I have prepared structured documents exceeding 90-100 pages, applying styles, headers, footers, tables of contents, references, and cross-references to ensure professional and consistent formatting. My Word documents have been used for official submissions, academic research papers, and internal organization records, ensuring clarity, accuracy, and adherence to formatting standards.

I have extensive experience using Microsoft PowerPoint to create professional and visually engaging presentations for academic, research, and organizational purposes. I have designed over 80+ presentations, incorporating charts, tables, and diagrams to effectively communicate data-driven insights and complex engineering concepts. My work includes crafting structured slides with clear flow, visual consistency, and tailored messaging to enhance comprehension and engagement for audiences of 20–100+ participants.

I am proficient in Google Workspace applications, including Docs, Sheets, Slides, Forms, and Drive, and have used these tools extensively for academic, organizational, and project-based tasks. I have created and managed over 65 collaborative documents and spreadsheets, streamlining data tracking, report preparation, and workflow coordination. Using Google Sheets, I designed automated tables and applied formulas to analyze data for class projects and student organization initiatives, improving data accuracy and reducing manual errors by approximately 25%. I have also prepared and delivered 24+ presentations using Google Slides, effectively communicating results to peers and faculty. Additionally, I utilized Google Forms to collect and organize feedback from over 115+ participants, enabling efficient analysis and actionable insights for academic and organizational events.

I have extensive experience using MATLAB for data analysis, modeling, and neural network simulations. I have implemented neural network models on datasets of 900 entries, performing training, validation, and testing to predict trends and classify outcomes with accuracy improvements of up to 95% to 98%. Additionally, I have utilized MATLAB for regression analyses, statistical modeling, and visualization of complex data, generating actionable insights for academic research and project-based simulations. My work also involved scripting automated routines to streamline repetitive calculations, reducing computation time by approximately 30% and ensuring consistent, reproducible results.

I have hands-on experience using Minitab for statistical analysis, process improvement, and academic research. I have performed regression analyses and hypothesis testing on datasets ranging from 50 to 200 entries, identifying key trends and correlations to support research projects. Using Minitab, I designed and conducted experiments employing ANOVA, which improved the accuracy and reliability of study results by approximately 20%. Throughout these tasks, I generated comprehensive reports and visualizations that effectively communicated complex data insights to peers and instructors, ensuring clear understanding and actionable outcomes.

I am proficient in AutoCAD for creating precise 2D technical drawings and designs. I have produced detailed layouts for academic projects, including production workflows and engineering schematics, ensuring accuracy and adherence to design specifications. My experience includes drafting complex mechanical and structural components, using layers, dimensions, and annotations to enhance clarity and usability. These designs have been successfully used in simulations and presentations, improving comprehension of engineering concepts among peers and instructors.

I have utilized SolidWorks for 3D modeling, assembly design, and visualization of mechanical components for academic and project-based applications. I have designed and simulated assemblies of multiple interacting parts, ensuring proper fit, functionality, and adherence to engineering specifications. My work includes applying parametric modeling, creating exploded views. These models were used for project presentations, peer demonstrations, and instructor evaluations, improving understanding of complex mechanical systems and enhancing project quality.