Khalil Kafrouni
Verified Expert in Engineering
Data Scientist and Developer
Larnaca, Cyprus
Toptal member since September 16, 2020
Khalil is a data scientist and AI team lead with seven years of experience and a keen eye for finding hidden patterns in data. He has built and sold an AI startup that brings data analysis to the fingertips of eCommerce stores. Khalil has managed and architected the analytics and reporting infrastructure for America's biggest healthcare staffing company, serving over 12,000 hospitals, and has led data science teams and ML projects across many companies, from small businesses to Fortune 500.
Portfolio
Experience
Availability
Preferred Environment
Visual Studio Code (VS Code), Tableau, Jupyter Notebook, Jupyter
The most amazing...
...thing I've built was an AI startup that enables Shopify store owners to have a data analyst at the ready round the clock to answer their difficult questions.
Work Experience
Founder and CEO
Spikie
- Built an AI data analyst for Shopify stores. It allows store owners to answer complex data analysis questions in seconds.
- Architected the infrastructure that pulls data from Shopify into Big Query and added on top of it the ability to analyze it and generate reports.
- Exited the startup after selling it at the pre-revenue stage for an eCommerce marketing service provider.
Manager, Reporting and Analytics
AMN Healthcare - Main
- 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, resulting in major speed and data accuracy improvements.
- Managed a user base of over 12,000 individuals successfully, providing support to ensure efficient utilization of the reporting tools.
Senior Data Scientist
The Relationship Corp
- 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 by 13% by examining patterns in user data and presenting new payment plans that increased 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 Scientist
FantasySpin
- Engineered a robust tournament reward algorithm, balancing the allocation of coins to winners to ensure a sustainable gaming/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 Reporting Expert (Sisense)
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 side of the operations.
- Administered the company's BI implementation in Sisense.
Data Scientist
AddShoppers
- Developed statistical models to identify underperforming email campaigns and eliminate them, allowing the company to achieve a 10% reduction in email volume without an impact on revenue.
- Built reporting dashboards to monitor the company's KPIs on a daily basis along with the SQL data models that powered them.
- Developed statistical simulations to test the company's entity resolution algorithm.
Marketing Analyst
Roadie Music
- 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.
Experience
Algorithmic Trading
Lifetime Value Prediction for a Subscription-based Business
Customer Conversion Prediction for Online Freemium-model Businesses
This model is used to identify the users who are most likely to transact, so more incentives can be directed toward them, and those who are least likely to transact, so marketing efforts can be directed toward other users who might end up converting.
Email Volume Optimizer
Education
Bachelor of Engineering Degree in Mechanical Engineering
American University of Beirut - Beirut, Lebanon
Skills
Libraries/APIs
NumPy, Pandas
Tools
Jupyter, Tableau, Microsoft Excel, Microsoft Power BI, MATLAB, Mathematica, Sisense, Google Analytics, BigQuery
Languages
SQL, Python, C++, Scala
Paradigms
Business Intelligence (BI), ETL, Quantitative Research
Platforms
Jupyter Notebook, Visual Studio Code (VS Code), Google Cloud Platform (GCP), Shopify, Cloud Run
Storage
Data Pipelines, MySQL, PostgreSQL
Frameworks
Spark
Other
Numerical Analysis, Mathematical Modeling, Reporting, Marketing Analytics, Product Analytics, Presentations, SaaS, Recurring Revenue Modeling, Predictive Analytics, Data Science, Dashboards, eCommerce, Data Reporting, BI Reporting, Reports, Business Intelligence Development, CSV, Digital Marketing, Exploratory Data Analysis, Statistics, Revenue Analysis, Web Scraping, Probability Theory, Machine Learning, Customer Lifetime Value (CLV), A/B Testing, Excel 365, Bayesian Statistics, Causal Inference, Fraud Investigation, Data Aggregation, Market Research, Predictive Modeling, Decision Trees, Data Visualization, Metabase, Data Analytics, Quantitative Finance, Stock Trading, Financial Risk Management, Finance, Finance APIs, Trading, Entrepreneurship, Development, Artificial Intelligence (AI), Large Language Models (LLMs)
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