Khalil Kafrouni
Verified Expert in Marketing
Marketing Expert
Nice, France
Toptal member since September 16, 2020
Khalil is a data scientist and marketing analytics expert with a keen eye for finding hidden patterns in data. He is proficient in mathematical modeling and business intelligence and highly skilled in statistical analysis, predictive analytics, Python, SQL, and visualization tools. Khalil has helped companies reduce marketing costs, increase ROIs, predict customer lifetime values, increase conversions and retention, and reduce fraud.
Project Highlights
Education Highlights
Expertise
- Artificial Intelligence (AI)
- Business Intelligence (BI)
- Data Analytics
- Marketing
- Python
- SQL
- Shopify
- Sisense
Work Experience
Founder | CEO
Spikie
- Built an entire software product behind the company—an AI data analyst for eCommerce businesses. It answers complex questions instantly and helps owners and managers make quick, data-driven decisions on the fly.
- Headed the business-to-business (B2B) sales and marketing campaigns for the company.
- Developed the company's software infrastructure and data pipeline with total scalability.
Data Scientist | Analyst
Conversion Squared
- Reduced the company's marketing costs by 30% by analyzing the customer lifetime value and using probabilistic modeling to predict which marketing campaigns would not break even.
- Increased the return on investment (ROI) by 13% by examining patterns in user data and presenting new payment plans that enhanced the conversion and retention rate.
- Eliminated more than 20,000 fraudulent profiles after running statistical analyses on their behavioral data and building a fraud detection framework.
Data Reporting Manager
AMN Healthcare
- Led the design, development, and ongoing maintenance of critical data dashboards that provide real-time insights to support decision-making for thousands of hospitals and healthcare facilities.
- Built and optimized the ETL that fed data into the dashboards, improving speed and data accuracy.
- Managed a user base of over 12,000 individuals, providing support to ensure efficient utilization of the reporting tools.
Data Scientist
Freelance
- Reduced procurement costs by 15% for a local eyewear retailer by collecting and analyzing data from online eyewear stores.
- Created a web scraper to monitor and analyze daily fluctuations in canned food prices relative to currency depreciation, providing ongoing inflation estimates during financial crises.
- Developed a model that calculates new user conversion probability. The client used this model to reduce marketing costs and focus on users with a higher conversion probability.
Data Reporting Expert
AMN Healthcare
- Developed customer-facing analytics dashboards that enabled healthcare facilities to monitor their roster of medical providers, keep an eye on any soon-to-expire documents, and keep track of insurance requirements.
- Built data models that powered the business intelligence (BI) side of the operations.
- Administered the company's BI implementation in SiSense.
Data Scientist
FantasySpin
- Engineered a robust tournament reward algorithm, balancing the allocation of coins to winners to ensure a sustainable gaming and gambling company profit margin.
- Leveraged analytical skills to assess and fine-tune the algorithm, ensuring a strategic alignment between company profits and user satisfaction, contributing to the overall success of the gaming/gambling platform.
- Implemented various optimizations to the computations in the background so that they run seamlessly and have no adverse effect on the user experience.
Data Scientist
AddShoppers
- Developed statistical models to identify and eliminate underperforming email campaigns, allowing the company to achieve a 10% reduction in email volume without impacting revenue.
- Built reporting dashboards to monitor the company's daily key performance indicators (KPIs) and the SQL data models that powered them.
- Created statistical simulations to test the company's entity resolution algorithm.
Marketing Analyst
Roadie Tuner
- Increased customer outreach and reduced marketing costs by analyzing the marketing data set and identifying underperforming channels.
- Reduced marketing inefficiency by analyzing the reach of marketing blog articles based on their time of publication and focusing efforts on the most effective times.
- Recommended a more granular market segmentation after analyzing the users' app behavior and finding differences between unexpected demographics.
Project History
AI Data Analyst for eCommerce Stores
Developed and scaled an AI-powered data analyst chatbot for Shopify stores, capable of swiftly answering intricate queries such as "Which two products were most frequently bought together this month?" to aid decision-makers.
Spikie is an innovative Shopify application designed to function as an integral part of a retail team, embodying the capabilities of a data analyst. It enables proprietors to inquire about orders, products, and consumer patterns, delivering prompt answers. As the founder, I meticulously architected the entire software and its underlying infrastructure to ensure a seamless experience for users seeking data-driven insights.
Underperforming Marketing Campaign Alert
Built an end-to-end marketing reporting solution, enabling a client to swiftly identify and address underperforming campaigns.
The client, a leading lead-generation agency handling millions of leads monthly, required a robust mechanism to identify and be notified of underperforming marketing campaigns. Our solution addressed this need by integrating seamlessly with their Slack channel, providing precise diagnostics on faltering campaigns. This allowed the client to enhance campaign performance and optimize marketing strategies.
Marketing Campaign ROI Prediction
Engineered a comprehensive solution that calculates the ROI of marketing campaigns by anticipating customers' future repeat purchases, enabling the client to predict the potential profit from each campaign.
Different marketing campaigns attract different groups of people, each with distinct characteristics. This includes the customer lifetime value (CLV), which is a key element in assessing a campaign’s future ROI. This tool was based on predicting the CLV for each segment of users and then using this information to predict the ROI of the different marketing campaigns.
Education
Master's Degree in Financial Markets and Investments
SKEMA Business School - Sophia Antipolis, France
Bachelor of Engineering Degree in Mechanical Engineering
American University of Beirut - Beirut, Lebanon
Skills
Core
Marketing Analytics, Marketing
Technical
SQL
Other
Python, Sisense, Data Analytics, Business Intelligence (BI), Statistical Analysis, Marketing Mix Modeling, Data Analysis, Data Science, Artificial Intelligence (AI), Shopify, Advertising, Metabase, Machine Learning, Modeling, Statistics, Analytics, Revenue Modeling, Predictive Modeling, Predictive Analytics, Finance
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