Social Media Data Analyst

BELAL RAIS

Irvine, CA ***** 949-***-**** ***********@*****.*** www.linkedin.com/in/belalrais EDUCATION

University of California Irvine, CA 2020

Master of Science in Business Analytics GPA: 3.684 Relevant coursework: Statistics for Data Science, Data & Programming Analytics, Machine Learning, Social Media Analytics, Marketing Analytics, Predictive Analytics, Natural Language Processing Awards: Received Faculty Fellowship Award in 2019

Dr. APJ Abdul Kalam Technical University, India 2015 Bachelor of Technology

Relevant coursework: Programming in C, Advanced Calculus, Algebraic Programming, Probability PROFESSIONAL EXPERIENCE

Holiday Channel, Orange, CA Aug 2020 – Present

Social Media Analyst Intern (R, Tableau)

• Developing recommendations for social media advertising using analytical and visualization tools to maximize reach across platforms.

• Providing actionable overall market and customer insights to address key strategic questions.

• Conducting numerical and statistical analysis and presenting findings to the management and provide guidance. Ingram Micro, Capstone Project Jan 2020 – Jun 2020 Student Data Analyst (R, Python, Tableau, PAM Clustering, NLP, Multinomial Logistic regression)

• Explored and analyzed web scraped data of 2995 resellers and their purchase history.

• Used Multinomial Logistic regression and NLP to identify undervalued customers from the list, provided business insights and recommendation for each identified segment to increase revenue stream from them.

• Identified a total of 19 customers from both models to generate total potential sales of about USD 2 Million. Coldwell Banker, Dubai, UAE Jan 2017 – Jan 2019

Consultant (Advanced Excel, Tableau, R, Masterkey CRM, PropSpace CRM)

• Managed Client relationships and lead generation business growth to achieve a target of AED 38 Million in 24 months of real estate practice.

• Led a diverse team of consultants and marketing professional for Meydan District One project and promoted sales by performing A/B Testing to launch marketing campaigns and promotional activities.

• Performed comparative market analysis using web-scraped data from websites and estimated the property value through Regression models(Linear/Polynomial regression), to compare them with the listed property prices.

• Developed monthly dashboards and reports on Tableau to better comprehend and analyze the change in property prices, helping the clients and stakeholders make informed decisions. Haroon Architectural Hardware Company, Dubai, UAE Feb 2016 – Dec 2016 Estimator (Advanced Excel)

• Worked closely with sales and marketing personnel to develop and enact competitive pricing strategies.

• Assessed various data sources and performed several quantitative and qualitative methods using advanced Excel to analyze competitor pricing in order to gain a complete picture of effective pricing strategies for the company’s offerings.

ACADEMIC PROJECTS

Advertisement Analysis of UCI Ad Campaigns (Tableau, R, Logistic Regression)

• Built recommendations to improve effectiveness of Merage School’s online advertising campaign. Leveraged Ad campaign data (includes Google, Facebook and LinkedIn ad metrics) and developed logistic regression models to derive key ad metrics in order to optimize the cost per conversion. Sentiment Analysis for 6 major US Airlines (Python, Neural Network, Logistic Regression)

• Developed a classification model using Neural Network and Logistic Regression for customer-sentiment analysis for the airlines using customer tweets, with an accuracy of 75.9%. Prediction of House Prices in King County, WA (Python, Polynomial Ridge Regression)

• Predicted house prices for different houses of various sizes, features and specifications using Polynomial Ridge Regression with an accuracy of 82.40%.

Analyzing Dating Preferences (R, K-Means Clustering, Logistic Regression, Random Forest, XG Boost)

• Used exploratory data analysis techniques and initial exploratory OLS modelling of speed dating data taken from speed dating experiments. Predicted the dating preference with Random forest with an accuracy of 82%. SKILLS

• Tools: SQL, R, Python, SPSS, Tableau, Minitab, Amazon RedShift, CRM (PropSpace, Masterkey), Advanced Excel.

• Techniques: Predictive Modeling, Machine Learning, Exploratory Analysis, Statistical Analysis, A/B Testing, Data Visualization, Modeling and Heuristics, Data-Driven Experimentation.

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