Marketing Manager and Market Research Analyst● Delivering data-driven presentations of market trends and revenue performance analysis using Excel, R, Tableau, and PowerPoint, with appealing data visualizations and actionable managerial insights● Analyzed market trends and property revenue performance, reporting to the company owner, property owners, and the internal team while breaking the company's monthly revenue records (1.513 million USD dollars - April 2022). Utilized data analysis tools such as Excel, R, and Power BI to uncover insights and make data-driven decisions.● Managed pricing and revenue performance for more than 150 properties. Developed and implemented pricing strategies to maximize revenue and occupancy rates. Utilized market research to identify trends and opportunities.● Implemented SEO strategies on the Nova website using SEMRUSH, Google Analytics, GMB, and Ahrefs to boost traffic by a 55% increase. Conducted keyword research, optimized metadata and content, and implemented backlink strategies to improve website ranking and visibility.● Conducted A/B tests of website restructure changes using Google Search Console and Analytics, contributing to an 8% upshift in organic website traffic. Analyzed website performance metrics such as bounce rate, time on site, and conversion rate to make data-driven decisions.● Introduced and integrated digital distribution channels, increasing 960,000 USD of revenue. Developed partnerships with OTAs (online travel agencies) and implemented direct booking strategies to drive revenue growth.● Developed website content and design, including copywriting and web design. Utilized WordPress and other CMS platforms to develop and maintain the Nova website.● Managed social media channels and initiated digital marketing campaigns. Developed content calendars and strategies to improve engagement and drive traffic to the Nova website.

● Conducted data scraping from IMDb and NNDB to gather raw demographic data using Python for analysis. Developed Python scripts to extract relevant information and cleaned the data to prepare it for analysis.● Utilized machine learning API to generate ethnicity data based on human pictures using Google Cloud API for analysis. Developed and implemented machine learning models to predict ethnicity based on facial features.● Conducted statistical and quantitative analysis using R, including Two-Stage least squares (2SLS) regression, after gathering insights from literature and professors. Utilized statistical analysis to uncover insights and make data-driven decisions.● Prepared materials for reports, presentations, and submissions to peer-reviewed seminars. Developed presentations and reports to showcase research findings and presented research at academic conferences.As a result of this work, I completed a Master's thesis titled "An Analysis of Racial and Gender Representation in Hollywood Films." This research analyzed demographic trends in Hollywood films and provided insights into the representation of various groups in the film industry. My work utilized advanced data analysis techniques and provided valuable insights into a complex and important topic.

● Conducted in-depth market research on the soybean market in North American and South American markets. Analyzed market trends, prices, supply and demand, and other relevant factors to develop a comprehensive understanding of the soybean market.● Forecasted the soybean market supply as a key indicator of future soybean prices. Utilized statistical analysis and other forecasting techniques to predict future supply levels and their impact on prices.● Collaborated with senior analysts and traders to develop and implement trading strategies based on market research and analysis. Worked closely with the trading team to ensure that the insights provided by the research were integrated into trading decisions.● Monitored and tracked market trends, news, and events to identify potential risks and opportunities in the soybean market. Conducted regular updates on market analysis and communicated key insights to senior management and other stakeholders.● Conducted ad-hoc analysis on other futures markets to support the company's overall trading strategy. Utilized data analysis tools and techniques to identify trends and patterns in the data and developed insights to support trading decisions.