Ifeoma (Eephomaa) Edu-Aniobi
Executive Assistant | Data Analyst | Brand Strategist
New to Contra
Ifeoma (Eephomaa) is ready for their next project!
Executive Assistant Support (Weekly)
Manage emails, schedule meetings, organise calendars, follow up on tasks, draft communications for busy founders
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Data Report & Dashboard Summary
Take their raw business data; sales, social, website and turn it into a clean, readable summary with insights and recommendations
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Project: FourX Properties - Company Profile & Pitch Deck
Goal: Create a comprehensive, professional company profile for a Nigerian real estate investment firm to attract investors and clients.
My Role (Executive Assistant):
• Gathered and synthesized company information, leadership bios, project details, client testimonials, and performance metrics
• Structured content into a logical, compelling 20-slide narrative
• Designed a polished, visually stunning presentation using PowerPoint/Canva
• Ensured brand consistency, accuracy, and executive-ready quality
• Delivered a turnkey deck ready for investor pitches and client presentations
Key Highlights:
• 20-slide professional company profile
• Featured projects: Omole Phase 1 (5-bedroom terrace, 450M), Magodo Luxury Terraces
• Leadership team bios with credentials (CEO: Land Survey & Estate Survey, CFO: Finance)
• Performance metrics: 15-20% appreciation (Victoria Island), 6-8% rental yields
• Awards: Top 10 Luxury Real Estate Developers in Lagos, Best Terrace House Design 2023
• 200+ staff strength, 19+ house locations, CAR Insurance coverage
Tools: PowerPoint · Canva · Google Workspace · Microsoft 365 · Notion · Zoom · Asana
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Netflix has a massive content library, but how well is it balanced? Are they meeting audience preferences? The client needed a clear, data-backed understanding of their content composition specifically, the ratio of movies to TV shows, genre distribution, regional availability, and content rating trends, to inform strategic decisions about future content acquisition and production.
I conducted a comprehensive analysis of Netflix's content library using data sourced from Kaggle. My process and deliverables included:
1. Data Preparation (Excel): Cleaned and structured the raw dataset for analysis, ensuring data quality and consistency.
2. Data Querying (SQL): Wrote queries to extract key metrics—content count by type, genre distribution, rating categories, and country-wise availability.
3. Data Visualization (Tableau): Created interactive dashboards and visualizations to bring the data to life, including:
i. Bar Charts: Showed the dominance of Drama, Documentaries, and Stand-up Comedy as top genres.
ii. Map Visualization: Highlighted the USA (2,818 titles) and India (972 titles) as the countries with the most content.
iii. Pie Chart: Visualized the 69.6% (movies) vs. 30.4% (TV shows) split.
- Statistical Analysis (t-test): Performed a t-test confirming a statistically significant difference between movie and TV show uploads (t-value = 56.60, p-value = 0).
- Trend Analysis: Identified the 2019 peak in content uploads and the subsequent decline in 2020–2021, correlating with the rise of competing platforms and the COVID-19 economic downturn.
Strategic Recommendations: Provided actionable insights for Netflix:
i. Increase TV show content to balance audience preferences.
2. Experiment with short-form content to attract broader audiences.
3. Conduct user surveys to align content strategy with viewer demand.
4. Study competitor patterns and emerging trends to stay ahead.
A clear, data-driven analysis that provided Netflix with a comprehensive understanding of its content library and actionable recommendations to improve viewer engagement and retention.
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