Silvi Wutche-|| LinkedIn || GitHub || My Portfolio
SUMMARY
I’m a data analyst aiming for a role in marketing analytics. Skilled in SQL, Python, data storytelling and stakeholder management. Highlights of my impact include increasing effectiveness through segmentation, by applying clustering techniques using Python to identify high-value customer groups and tailor email campaigns and ads which boosted campaign success rates by 30%
Proficient in: SQL, Python, Power BI, Excel, A/B Testing
PROFESSIONAL EXPERIENCE
Data Visualization Specialist | (Salon & Spa) Remote | Sep 2024 – Dec 2024
Designed and developed interactive dashboards using Power BI, improving data accessibility and decision-making efficiency by 30%
Transformed raw booking and performance data into intuitive visualizations to track stylist performance, boosting motivation and productivity by 15%
Delivered actionable insights on metrics such as appointments, revenue, and referrals, leading to better management strategies
Marketing Analyst | FreelanceRemote | Mar 2024 – Jul 2024
Conducted market and consumer behavior analysis, increasing digital marketing ROI by 25% through targeted optimizations such as refining audience targeting criteria, improving ad copy, and reallocating budget towards high-performing campaigns
Developed detailed analytics reports and interactive dashboards, improving campaign tracking efficiency
Managed data integrity and tracking systems across social media platforms, achieving 98% accuracy in performance reporting
Procurement Analyst | Tontine Group LLC Remote| Nov 2023 – Dec 2024
Conducted market research and supplier evaluations, reducing lead times by 10% and saving 15% on procurement costs
Negotiated contracts and resolved procurement issues, improving supplier reliability by 90%
Developed a procurement tracking system using Excel to monitor supplier performance, increasing compliance rates by 20% and reducing contract violations by 40%
Data Analyst | Sleek Octaves (Fashion)Port-Harcourt | May 2022 – Dec 2023
Analyzed sales and customer data to uncover trends through detailed statistical analysis and customer feedback integration, leading to a 15% improvement in product offerings by aligning inventory with customer preferences
Boosted decision-making efficiency by 30% with dynamic Excel dashboards, helping align product offerings with customer preferences
Implemented predictive modeling techniques, such as time-series forecasting and regression analysis, for inventory management. This approach reduced excess stock by 18% and improved overall inventory turnover, ensuring better alignment with customer demand and reducing holding costs.
SKILLS
Programming Languages: SQL, Python
Data Visualization and Manipulation: Power BI, Data Studio
Statistical Methods: A/B Testing, Hypothesis Testing, Predictive Modeling
Data Management: Data Cleaning, Integrity Management, Campaign Tracking
Other Tools: Google Analytics (GA4), Google Tag Manager, MS Excel (Power Query, DAX)
EDUCATION Bachelor ‘s in Sociology | University of Port Harcourt, NigeriaOct 2019
