Khalil is available for hire
Hire KhalilKhalil Kafrouni
Verified Expert in Engineering
Data Scientist and Developer
Location
Larnaca, Cyprus
Toptal Member Since
September 16, 2020
Khalil is a data scientist and analyst with five years of experience and a keen eye for finding hidden patterns in data. Specializing in mathematical modeling and business intelligence, he is 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.
Portfolio
AMN Healthcare - Main
Sisense, Data Science, Data Reporting, BI Reporting, Data Visualization...
Conversion Squared
SQL, Marketing Analytics, Reporting, SaaS, eCommerce...
Freelance
Marketing Analytics, Reporting, eCommerce, Business Intelligence (BI)...
Experience
Availability
Full-time
Preferred Environment
Visual Studio Code (VS Code), Tableau, Jupyter Notebook, Jupyter
The most amazing...
...result I've achieved was a 30% reduction in a client's marketing costs by modeling user retention and predicting which marketing campaigns would not break even.
Work Experience
Data Reporting Manager
2022 - PRESENT
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.
Technologies: Sisense, Data Science, Data Reporting, BI Reporting, Data Visualization, Data Analytics, PostgreSQL, SQL, ETL, Dashboards, Reports, Data Pipelines, Metrics, CSV
Data Scientist | Analyst
2019 - PRESENT
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 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.
Technologies: SQL, Marketing Analytics, Reporting, SaaS, eCommerce, Business Intelligence (BI), Mathematical Modeling, Predictive Analytics, Data Science, Customer Lifetime Value, Revenue Analysis, Fraud Investigation, Product Analytics, Sisense, Python, Statistics, Numerical Analysis, ETL, Pandas, NumPy, Spark, Dashboards, Reports, Data Pipelines, Metrics, CSV, MySQL, Digital Marketing, Bayesian Statistics, Exploratory Data Analysis, Causal Inference
Data Scientist
2017 - PRESENT
Freelance
- Reduced procurement costs by 15% for a local eyewear retailer by collecting and analyzing data from online eyewear stores.
- Built a web scraper to track and analyze the daily changes in canned food prices with respect to currency depreciation, which was then used to get a running estimate of inflation in times of financial crisis.
- Developed a model that calculates new user conversion probability. The client used this model to reduce marketing costs and focus its efforts on users with a higher conversion probability.
Technologies: Marketing Analytics, Reporting, eCommerce, Business Intelligence (BI), Mathematical Modeling, Predictive Analytics, Data Science, Market Research, Presentations, Microsoft Excel, Python, Numerical Analysis, Data Aggregation, Web Scraping, Pandas, NumPy, Dashboards, Reports, Data Pipelines, Metrics, CSV, MySQL, Digital Marketing, Bayesian Statistics, Exploratory Data Analysis, Causal Inference
Data Scientist
2021 - 2022
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.
Technologies: Python, Pandas, Scala, Reports, Data Pipelines, Metrics, CSV, MySQL, Digital Marketing, Bayesian Statistics, Exploratory Data Analysis, Causal Inference
Data Reporting Expert (Sisense)
2021 - 2022
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.
Technologies: Sisense, PostgreSQL, SQL, ETL, Reporting, Pandas, Dashboards, Data Pipelines, Metrics, CSV
Data Scientist
2020 - 2022
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.
Technologies: Data Science, Machine Learning, Python, Data Visualization, eCommerce, Reporting, Statistics, Metabase, BigQuery, Pandas, NumPy, Reports, Metrics, CSV, Excel 365, Digital Marketing, Bayesian Statistics, Exploratory Data Analysis, Causal Inference
Marketing Analyst
2017 - 2017
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.
Technologies: Marketing Analytics, Reporting, eCommerce, Business Intelligence (BI), Mathematical Modeling, Data Science, Google Analytics, Presentations, Statistics, MATLAB, Microsoft Excel, Pandas, Dashboards, Reports, Metrics, Excel 365, Digital Marketing, Exploratory Data Analysis
Experience
Algorithmic Trading
Researched and deployed several successful trading strategies. The strategies employ both momentum and mean-reversion methods over a wide array of financial instruments, including stocks, futures, and cryptocurrencies.
Lifetime Value Prediction for a Subscription-based Business
A Python-based model that predicts the future (up to 16 months) recurring revenue of a monthly cohort of users who have different payment plans and pricing schemes. This implementation was used to judge different marketing campaigns and get an updated estimate of the lifetime value of the users on the website.
Customer Conversion Prediction for Online Freemium-model Businesses
An all-inclusive model that gathers all the on-site activity for each new user (signed up in the past 24 to 48 hours) and calculates the probability that they would end up purchasing a premium membership on the website.
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.
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
I worked with a business that sends marketing emails on behalf of its B2B clients. I developed a forecasting model that allows them to anticipate the volume of emails each of their clients will require and relates it to the profitability of each client. This enabled them to optimize their sending quota and maintain a healthy spam score without losing revenue.
Skills
Languages
SQL, Python, C++, Scala
Libraries/APIs
NumPy, Pandas
Tools
Jupyter, Tableau, Microsoft Excel, Microsoft Power BI, MATLAB, Mathematica, Sisense, Google Analytics, BigQuery
Paradigms
Business Intelligence (BI), Data Science, ETL, Quantitative Research
Platforms
Jupyter Notebook, Visual Studio Code (VS Code)
Storage
Data Pipelines, MySQL, PostgreSQL
Other
Numerical Analysis, Mathematical Modeling, Reporting, Marketing Analytics, Product Analytics, Presentations, SaaS, Recurring Revenue Modeling, Predictive Analytics, Dashboards, eCommerce, Data Reporting, BI Reporting, Reports, Metrics, CSV, Digital Marketing, Exploratory Data Analysis, Statistics, Revenue Analysis, Web Scraping, Probability Theory, Machine Learning, Customer Lifetime Value, 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
Frameworks
Spark
Education
2014 - 2018
Bachelor of Engineering Degree in Mechanical Engineering
American University of Beirut - Beirut, Lebanon
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