Social Media Data Analysis
Resume:
Mina Esfanjani
Mina Esfanajni
Skills:
Modeling
Abilities:
Programming
Software
Teamwork &
Negotiation
Work_Experiences:
University of Texas Rio Grande Valley (2023 – 2024): Researcher Scientist in Data Analysis
(Self-Employed)
• Image Analysis for Advertisement Impact
Led a deep learning project to evaluate ad effectiveness, identifying features that drive engagement and sentiment. Improved model accuracy and efficiency, optimizing training and reducing computational time. Developed dashboards and alerts to monitor model performance and address shifts in key metrics.
• Cross-Functional Data Support
Served as the data liaison for business teams, assisting with data analysis projects, A/B testing, and delivering ad- hoc reports to support strategic decisions.
• Customer Review & Social Media Text Mining
Scraped and analyzed customer reviews and social media comments using econometric methods. Provided insights into customer perceptions, supporting customer service and brand strategy.
• Survey Analysis for Service Improvement
Designed surveys to assess satisfaction and quality. Used factor, cluster, and discriminant analysis to identify key satisfaction drivers, informing targeted service improvements.
• Advanced Statistical Analysis
Applied ANOVA, MANOVA, and regression to analyze customer behavior. Conducted mediation and moderation analyses (Sobel and Bootstrapping tests) to identify factors influencing customer attitudes and behaviors.
• AI-Driven Customer Churn Prediction Model for Proactive Retention Developed an AI-powered churn prediction model to identify customers likely to leave within six months, enabling targeted retention strategies. Collaborated with teams to source and preprocess data, engineered features, and trained an XGBoost model optimized for 85% precision and 80% recall. Deployed the model as an API integrated with CRM for real-time churn scoring and created dashboards to visualize risk segments. Automated performance monitoring to detect drift, retraining the model SQL, Python (including pandas, scikit-learn, igraph,numpy, scipy, TensorFlow, matplotlib libraries), R, SPSS, Smart PLS, MS Office (Word, Excel, PowerPoint Publisher), AWS, Power BI, Tableau, Alteryx, Salesforce, CRM Machine Learning, Deep Learning, Linear and nonlinear Optimization, Statistical Modeling, Mathematical Modeling, Neural Networks, Data Clustering, Logistic Regression, Decision Trees, Collaborative Filtering, and Data Visualization Certificate of business writing and graphic design. Gaining teamwork skills during my 7years of M.Sc. and B.Sc. Studies; Working in groups with more than 20 engineers;
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Green Card Holder
2
Mina Esfanjani
quarterly. The project reduced churn by 15%, saving approximately $500,000 in annual revenue through proactive customer engagement.
Sewerin (2016 – 2019): Sales data analyst
• Data Analysis and Trend Identification
Analyzed business and industrial datasets to uncover key trends and derive actionable insights, supporting data- driven decision-making across departments.
• Data Visualization
Created intuitive and impactful visualizations, transforming complex data into accessible insights tailored for end- user consumption.
• Predictive Modeling for Customer Retention
Developed statistical models in R to predict customer retention likelihood, specifically focusing on the propensity of customers to remain active beyond the 13th month (persistent vs. non-persistent customers).
• Customer Risk Scorecard Development
Designed a scorecard to identify high-risk customers likely to become non-persistent, enabling proactive engagement and retention strategies.
• Data Sourcing and Management
Managed the end-to-end data sourcing process, including automation, organization, and governance, to ensure high-quality, reliable data for analysis.
• Support for Business Partners and PExCOE Towers
Collaborated with business partners and PExCOE towers, delivering data visualizations and insights to support cross-functional initiatives and drive alignment.
• Defined and Scheduled Reporting
Generated structured, consumable reports on an ad-hoc, daily, weekly, monthly, and periodic basis, providing stakeholders with timely and relevant data.
Education:
3- Master of Electrical Engineering 2012 — 2016
University of Azad Tehran
Publications:
https://scholar.google.com/citations?user=gyJwcKkAAAAJ&hl=en Certificates:
Michigan University Deep Learning,2024
Customer Service & Sales Certification
AI Workflow: Data Analysis and Hypothesis Testing BY IBM,2023 IBM Data Science & IBM Data Analyst,2023
LinkedIn Learning: Power BI from Beginning to Advance, 2021 Google Advanced Data Analytics by Google, 2021
Designing marketing campaigns by SA, 2018, Wise South Kore
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