Bertrand B. Status: Offline
TorontoCanada
100% Job Success
Top Rated Plus

Data Scientist: Machine Learning, forecast, pricing optimization

You need a data scientist but finding the right one for your project can be laborious. What makes me trustworthy: 🔸15 years experience as a senior data scientist 🔸Strong work ethics 🔸Various industry experience (media measurement, banking sector, retail loyalty program (B2C), distribution and logistics (B2B), early stage startup) 🔸PhD in Physics 🔸High Performance Computing background 🔸Expertise in predictive analytics using supervised machine learning algorithms (regression and classification models) and prescriptive models (mixed-integer optimization, non-linear optimization, pricing models, procurement planning). 🔸Open Source solutions using Python, PySpark and Jupyter notebooks , Scikit Learn, Numpy ... consuming data from SQL databases or binary files (hdf5, netcdf ... ) or flat files (csv, txt ...) I'd like to learn more about your project and better understand your needs. Please reach out with your availability, and we can coordinate a Zoom meeting to discuss further. Examples of deliverable: 🔸One of my customers faced the challenge of optimizing its procurement strategy to maximize savings while managing stock levels. The company sources products from multiple suppliers, each offering various price breaks and conditions for free shipping based on minimum order quantities. Using mixed integer programming (MIP), we aimed to determine the optimal order quantities from each supplier that not only satisfy inventory requirements but also minimize overall purchasing costs. This MIP model involves defining decision variables for the quantity ordered from each supplier, constraints to maintain stock levels within specific limits, and an objective function that minimizes the total cost, including adjustments for suppliers' discounts and shipping costs. By implementing this solution, my customer saves thousands of dollars each week by optimizing their purchases. 🔸Designing and building custom forecast models for planning future demand and aligning resources accordingly. These models leverage advanced analytics to predict demand patterns accurately, enabling efficient resource allocation. From sales forecasting to inventory management, customized models empower businesses to stay agile and responsive to market fluctuations, ensuring optimal operational efficiency and customer satisfaction. 🔸Developed propensity models in Jupyter notebooks to predict lead conversion likelihood, enabling prioritization of leads that align with business objectives and optimize ROI. The models were seamlessly integrated into production on a SQL server. 🔸Created a price simulation tool to estimate the impact of various input parameters on profitability, accounting for non-linear effects such as churn rate based on margin and marketing cost to expand the customer base. 🔸 Implemented price optimization models to maximize revenue or profit, collaborating closely with sales and marketing teams to align with business objectives and revenue management rules. 🔸 Designed a customized optimization process to find the value of the parameters maximizing a business outcome within constraints. 🔸Generated synthetic tabular data using Generative Adversarial Networks (GANs) with the ctgan library. Designed a custom cost function to produce synthetic records that adhere to specific criteria, including distribution functions and goal metrics.
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