Aisha Kumar
Masters of Science in Business Analytics | Data-Driven Problem Solver
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Professional Summary
Business Analytics graduate student at Hofstra University with hands-on experience in Python, SQL, R, Power BI, and Tableau. Proven track record as an AI Content Moderation Teammate and Research Analyst, building dashboards, analyzing large datasets, and delivering insights that support business decisions.
Academic projects include churn prediction, credit risk analysis, and EDA using machine learning techniques like KNN, PCA, MVN, Linear and Logistic Regression. MBA in Marketing & HR combined with analytics skills brings strong business understanding and data problem-solving capabilities.
Core Competencies
  • Data Analysis & Visualization
  • Machine Learning
  • Business Intelligence
  • Research & Annotation
  • Quality Management
Technical Skills
Programming
Python, SQL, R for data manipulation and statistical analysis
Visualization
Power BI, Tableau, Excel for creating interactive dashboards
Machine Learning
KNN, PCA, MVN, Linear & Logistic Regression, Feature Engineering
Research & Analysis
Data annotation, quality management, LLM workflows
Current Roles at Hofstra University
Teaching Assistant
September 2025 - Present
Supporting faculty across Marketing, Finance & Entrepreneurship courses. Evaluating assignments, résumés, elevator pitches, and presentations with consistent academic standards. Managing class materials, grade sheets, and providing student feedback.
Graduate Assistant
March 2025 - Present
Assisting Dean Brian Caligure with data analysis and reporting to support academic and operational decisions. Managing administrative tasks, coordinating communication, and preparing summaries and insights for strategic planning.
AI & Content Moderation Experience
TaskUs Teammate
May 2020 - August 2024
Improved accuracy and quality of deep learning models through precise data annotation and labeling. Collaborated with researchers to categorize content, label images, and annotate data using in-house tools.
Key Contributions
  • Trained deep learning models through accurate data categorization
  • Reported and documented data annotation issues
  • Provided feedback to improve tool accuracy
  • Contributed to workflow process improvements
Market Research & Analytics
1
Research Foundation
June 2018 - May 2020
Ziff Davis Performance Marketing
2
Data Analysis
Analyzed datasets using Excel, Python, and BI tools to uncover behavioral trends
3
Lead Generation
Validated company profiles and decision-makers to support sales pipeline growth
4
Insights Delivery
Built dashboards and visualizations for cross-functional stakeholders
Conducted market research and audience analysis using Google Analytics, SEMrush, and internal platforms. Designed dashboards to communicate insights to leadership and collaborated with marketing and sales teams to refine targeting strategies.
HR & Recruitment Experience
SGS Consulting HR Intern
June 2016 - August 2016
Assisted with full-cycle recruitment by sourcing candidates, screening resumes, and coordinating interviews. Supported lead generation for recruiting through LinkedIn and job boards. Managed applicant tracking and onboarding documentation.
Key Responsibilities
  • Coordinated interviews across multiple departments
  • Maintained candidate records and hiring metrics
  • Supported employee engagement activities
  • Collaborated with managers on workforce planning
Education & Certifications
Bachelor's Degree
Business Administration and Management
Arihant Institute (2010-2013)
MBA
Marketing & Human Resource Management
Prestige Institute of Management & Research (2015-2017)
Master's Degree
Business Statistics & Analytics
Hofstra University (August 2024)
Career Essentials in Data Analysis
Microsoft and LinkedIn
BCG Data Science Job Simulation
Boston Consulting Group
From Excel to Tableau
Data Visualization Certification
Tata GenAI Powered Data Analytics
Job Simulation
Academic Projects & Expertise
Churn Prediction
Developed predictive models to identify customer churn patterns using machine learning algorithms and feature engineering techniques.
Credit Risk Analysis
Built risk assessment models using logistic regression and classification techniques to evaluate creditworthiness and default probability.
Exploratory Data Analysis
Conducted comprehensive EDA using KNN, PCA, and MVN to uncover insights and patterns in complex datasets.
Let's Connect
Ready to Collaborate
I bring a unique combination of business acumen and technical analytics skills. Whether you're looking for data-driven insights, machine learning solutions, or research expertise, I'm eager to contribute to meaningful projects.
Location: West Hempstead, New York, United States
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