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FATEMA ABDULHUSSAIN

adhp8f@r.postjobfree.com 609-***-**** New Jersey fatemaabdulhussain SUMMARY

Data-driven marketing professional with experience in managing budgets for marketing campaigns. Thrive in deadline-driven environments and a fast-learner of technical programs with existing expertise in Microsoft Excel, Tableau, SQL, and Python. Graduated with distinction in Marketing (Masters) from the University of London and completed a certificate in Digital Marketing and a Data Analytics Bootcamp. Recently relocated to New Jersey (Greencard holder, no visa or sponsorship required). MARKETING TOOLS: Hootsuite, Salesforce/Pardot, Marketo, Facebook Ads, Mailchimp, Google Search Console, Google Ads VISUALIZATION TOOLS: Tableau, Power BI, Excel

PROGRAMMING LANGUAGES: SQL, Python

DESIGN TOOLS: Adobe Lightroom, Adobe Illustrator, WordPress PROJECT MANAGEMENT TOOL: Asana, Quip, Airtable

SKILLS

EXPERIENCE

HOMER, Performance Marketing Associate Sept. 2020 - Current New York

Contribute to monitoring spend and budget pacing, support in modeling out growth opportunities, forecasting and creative testing Manage, execute and analyze a portfolio of paid media campaigns with the goal of driving cost-effective, high quality app installs while managing to a budget and KPI Collaborate with the team to drive App Store Optimization (ASO) organic/keyword traffic in iTunes and Play Store Dress for Success Worldwide, Marketing Project Manager Intern June 2020 - Aug. 2020 New York

Responsible for working directly with the Global Communication's team coordinate, execute, oversee and manage annual marketing activities Monitor and schedule brand-related mentions on all social platforms and engage with followers' responses to posts and messages using Hootsuite Develop content for e-blasts and content for all upcoming events The Catalyzers, Marketing Event Coordinator Jan. 2018 - Sept. 2019 New Jersey - Dubai

Provide bespoke planning and logistics services for social events with budgets of up to $20,000 for up to 1500 attendees. Created Tableau dashboards that updated in real time on business sales and generated data-driven insights for targeted growth opportunities and paid ad spend Managed events from client acquisition to execution by developing and tracking components of event operations and budget Led the team’s social media marketing efforts on platforms such as Instagram Monitor spend and budget for paid ads and other digital marketing campaigns Chevron, Marketing Coordinator Nov. 2015 - Aug. 2016 Dubai

Aligned marketing activities to generate new business by chartering new product lines, ensuring design intention, merchant pricing and strategies, increasing overall sales by 20% Developed B2B and B2C email marketing campaigns

Developed dashboards to analyze Salesforce data, streamlining processes and providing actionable data to support the sales and marketing teams Tracked, reported, and evaluated usage of the website, digital media campaigns, and recommended improvements to optimize paid ad spend Managed, maintained, and edited the website using AEM Assist with the logistics and execution of internal events and trade shows Chevron, Marketing Intern June 2015 - Aug. 2015

Dubai

Researched and assessed all regional marketing communications campaigns to understand viability in successful outcomes Engaged stakeholders in agency briefings and followed up on Gulf- wide marketing campaigns. Acted as project manager for regional and local packaging projects EDUCATION

Springboard Data Analytics Career Track, Certification May 2020 - Current UIC Digital Media and Marketing Strategies, Certification Sept. 2019 - Dec. 2019 American University of Sharjah Sept. 2011 - Aug. 2015 BSc Business Administration - Marketing

Queen Mary University of London Sept. 2016 - Sept. 2017 MSc Marketing

Brock University Sept. 2014 - Dec. 2014

BSc Business Administration

Study Abroad - Exchange Semester

PROJECTS

Airbnb Exploratory Analysis · 2020 - 2020

Tools: Python (Pandas, NumPy, Seaborn, Datetime, Scikit-Learn, Matplotlib), Tableau Explore Airbnb dataset for 2019 to understand trends in different neighborhood groups Recommend listings and neighborhood groups based on pricing, reviews and availability High-tier Product Forecast at Gift Retailer (Online Gift Shop) · 2020 - 2020 Tools: Excel, Python (Pandas, NumPy, Seaborn, Datetime, Scikit-Learn, Matplotlib), Tableau Segmented products based on sales history into high, mid and low tier products Performed time series forecasting with historical sales data to build a sales growth predictor for high-tier products Built a forecast model that achieved 80% accuracy on test data using real demographics and behavior temporal data provided by Gift Retailer Performed data wrangling to correct all outliers and missing data values and handle big biased data set