PRODUCT DEVELOPMENT MANAGER, 09/01/14, 07/01/18, ECOM Planners, Kuwait City, Kuwait, Predictive Sales Model: Developed a multiple linear regression model using machine learning techniques in R to forecast revenue based on spending across Google Ads, Facebook Ads, and Instagram Ads. This model provided actionable insights for optimizing digital marketing budgets, enhancing strategy, and improving return on investment (ROI)., Customer Retention Analysis: Implemented statistical models using R (caret, randomForest) to reduce customer churn by 10%, enhancing retention rates., Sentiment Analysis on Social Media: Used the rtweet package to collect data from Twitter and performed sentiment analysis with sentimentr. Analyzed feedback as positive or negative, utilizing machine learning techniques to derive actionable insights., Developed and fine-tuned ad-hoc queries using R and Excel to meet unique business requirements, generating key insights that supported strategic decision-making and improved data-driven planning., Applied logistic regression techniques to analyze customer purchase patterns, enhancing marketing strategies and boosting conversion rates through improved customer targeting., Stock vs. Orders Analysis: Led a comprehensive analysis of monthly sales and stock updates for over 100 shops. Used R for data processing, generated personalized PDF reports using R Markdown, and communicated insights via email and WhatsApp to shop managers., Inventory Management Optimization: Leveraged predictive modeling techniques, including linear regression & time series forecasting (using R packages forecast and prophet), to accurately forecast demand. This approach led to a 20% reduction in inventory costs and significantly enhanced operational efficiency., Competitor Price Analysis & Scraping: Developed and deployed automated scraping tools using Python (BeautifulSoup, Selenium) and R (rvest, rselenium) to perform competitor price analysis. Extracted product pricing and related data from competitor websites, which was used to adjust pricing strategies, optimize product offerings, and enhance competitive positioning. This approach aimed to boost traffic and revenue by aligning internal pricing with market trends and improving overall business performance., Developed a Comprehensive Data Entry Automation System: Engineered an automation solution using R (rselenium) to optimize data entry workflows. The system launched a browser, performed automated logins to the backend admin portal, and navigated to the data entry interface. It systematically extracted product information-including product names, descriptions, pricing details, discounts, category and brand tags from Excel sheets and populated these fields in the admin system. The automation ran in a continuous loop, handling each record efficiently and reducing manual input significantly, thereby enhancing operational efficiency and accuracy., Platform & Application Development: Managed the development of e-commerce platforms and mobile applications, leading teams through the entire product lifecycle, from planning to deployment., Cross-Functional Collaboration: Worked closely with developers, designers, and marketing teams to deliver products on time, utilizing .NET, Angular, and React for backend and frontend development., Quality Assurance: Implemented automated testing and quality control strategies, ensuring high performance and meeting the needs of high-profile clients.