Business analytics - Data analyst

Rita Hamida Data Science Intern Denver, CO ****.******@********.*** 929-687- 6667 linkedin.com/in/rita-hamida F-1 Student (Eligible for CPT through CU Denver, Fall 2025) Motivated Business Analytics student with hands-on experience in data analysis, SQL, Python, Power BI, and predictive modeling. Skills in real-world datasets delivering actionable insights using data visualization and statistical methods. Strong academic foundation in EDA, machine learning, and hypothesis testing.

EDUCATION

Master of Science in Business Analytics – University of Colorado Denver. August 2024 - Present

• Coursework: Data Analytics, Business Intelligence, Predictive Modeling, Database Management, Evaluative Analytics, Data visualization, Prescriptive analytics, Statistics, Causal analysis, Time-series forecasting. MBA, International Business & Finance Concentration – Southern New Hampshire University Jan 2015 – April 2017

• Coursework: Finance, Accounting, Project Management, Business Ethics, Marketing, and Organizational Behavior. Bachelor of Science in Management, International Business – Université International de Rabat Sep 2011 – July 2014

• Coursework: Core Business Management, Global Business Focus, Strategic & Leadership Skills, Practical Experience. ACADEMIC PROJECTS

Data Analyst, Predictive Analytics & Machine Learning Project, Denver, CO Apr 2025 – May 2025

• Developed and fine-tuned predictive models using K-Nearest Neighbors (KNN), Linear & Logistic Regression, Decision Trees, and Random Forests, achieving up to 87% classification accuracy and reducing prediction error by 15%.

• Performed comprehensive Exploratory Data Analysis (EDA) on 5000+ records to detect patterns, uncover hidden correlations, and support data-driven feature engineering.

• Designed and built 4+ interactive Tableau dashboards to translate analytical findings into visual insights, supporting data storytelling and strategic decision-making.

• Conducted model evaluation using Confusion Matrix, ROC-AUC, Lift and Gain Charts, Precision-Recall curves, and Mean Squared Error (MSE), assessing regression model performance, leading to a 20% improvement in predictive reliability.

• Applied hypothesis testing techniques (T-test, Z-test, Chi-square) to validate findings and enhance statistical confidence, improving model trustworthiness by 12%.

• Extracted, transformed, and loaded (ETL) structured data from SQL databases using optimized queries, decreasing data retrieval time by 30% and ensuring accurate model inputs.

• Preprocessed datasets by handling missing values, encoding categorical variables, and feature scaling, enhancing model convergence and reducing training time by 25%.

• Collaborated in a cross-functional team of 3 analysts, contributing to a final presentation that secured a 95% project evaluation score from faculty reviewers.

Behavioral Data Analyst, Mobile Usage Predictive Modeling - Denver, CO Oct 2024 – Dec 2024

• Analyzed customer mobile behavior using Python and SQL; Built visual dashboards using Tableau to communicate insights; Identified patterns in app usage that predicted customer retention.

• Used Python and SQL to explore customer churn data; Applied logistic regression and decision trees to predict churn; Proposed business strategies to improve customer retention based on model insights. ADDITIONAL EXPERIENCE

International Recruitment & Marketing Specialist, International Office of CU Denver, Denver, CO. May 2025 – Present

• Liaised with over 50 international education agents and prospective international students weekly, providing support, information, and follow-ups to enhance student recruitment outcomes.

• Developed and managed multi-platform marketing campaigns (Instagram, Facebook), increasing engagement by 35% and follower count by 20% in 6 months.

• Monitored and analyzed key marketing performance metrics (CTR, impressions, engagement rate), optimizing content strategy and improving post-performance by 40%.

Content Creator, The Hat Circle, London, UK Oct 2020 – April 2021

• Utilized social media analytics tools such as Instagram, Facebook, and Hootsuite to monitor performance, optimize content strategy, and adjust posting schedules, leading to a 20% growth in follower base during the campaign period. SKILLS

Technical Skills: Data Analysis & Visualization: Power BI, Tableau, Python (Pandas, Matplotlib, Seaborn), R Studio (dyplr, caret, ggplot2); SQL: Queries, Joins, Data Cleaning, Database Management, Predictive Analytics: Regression, KNN, Decision Trees, Random Forest; Exploratory Data Analysis (EDA); Hypothesis Testing: Z-tests, Confidence Intervals, Business Intelligence & Reporting: Advanced Microsoft Excel, Marketing Analytics: Social Media Metrics, Google Analytics Soft Skills: Critical Thinking, Problem-Solving, Communication, Collaboration, Attention to Detail Languages: English (Fluent), French (Fluent), Arabic (Fluent), Spanish (Intermediate), Turkish (Beginner) Certifications: Advanced Tools for Digital Marketing Analytics (Coursera, 2025) · Business Intelligence (BI) Essentials

(IBM/Coursera, 2025) · Databases and SQL for Data Science (Coursera, 2025)

Contact this candidate