Abu Dhabi, Abu Dhabi Emirate, United Arab Emirates
Principal Data Scientist with over 8 years of experience in the full lifecycle of Machine Learning solutions, including strategy development, value discovery, code implementation, deployment, and monitoring. My expertise in ML and Optimization enables the creation of robust, accurate solutions, driving $3-10M in additional annual revenue per project. As a Data Science Manager, I have 4 years of experience in leading, hiring, and managing data science teams. I am capable of organizing team work under harsh deadlines and complex project scopes. ๐ ๐๐ฅ๐ฌ๐จ ๐๐ง๐ฃ๐จ๐ฒ ๐ก๐๐ฅ๐ฉ๐ข๐ง๐ ๐จ๐ญ๐ก๐๐ซ ๐๐๐ญ๐ ๐๐ซ๐จ๐๐๐ฌ๐ฌ๐ข๐จ๐ง๐๐ฅ๐ฌ ๐ ๐ซ๐จ๐ฐ ๐ข๐ง ๐ญ๐ก๐๐ข๐ซ ๐๐๐ซ๐๐๐ซ ๐๐ฒ: - Upgrading their CVs/LinkedIn - Providing 1:1 Career Mentoring - Sharing Free Practical ML Materials to support their technical growth ๐๐ฒ ๐๐๐ก๐ข๐๐ฏ๐๐ฆ๐๐ง๐ญ๐ฌ ๐จ๐ฏ๐๐ซ ๐ญ๐ก๐ ๐ฉ๐๐ฌ๐ญ ๐ฌ๐๐ฏ๐๐ซ๐๐ฅ ๐ฒ๐๐๐ซ๐ฌ: โ Increased by $60M+ customer revenue by delivering 4 real-time end-to-end ML solutions that optimized Metals and Mining assets. During the projects, successfully managing the team of 7 Data Scientists. The solutions showed 2.5%+ increase of plants throughput and stabilized by 25%+ of the product variability. โ Identified potential $50M customer revenue improvement by completing 5 bottleneck analysis projects for Tier-1 metals and mining companies, resulting in new projects with them. โ Increased by 1.2% oil and gas production for 2 clients by leading the from-scratch development of the "AI Oil Optimization Assistant" solution. This is an ML software for accurate prediction and optimization of oil and gas production in real-time by using advanced ML and Optimization algorithms. โ Grew and structured a DS team from 5 to 20 data scientists who formed 4 internal teams responsible for specific solution directions. โบ Tech Skills: Machine Learning | Data Science | AI | Data Analytics | Predictive Analytics | MLOps | Time Series | Anomaly Detection | Deployment | Optimization | Git | Kedro | MLFlow | Scikit-Learn | XGBoost | Numpy | Pandas | SHAP | Scipy | Docker โบ Soft Skills: Team Management | Leadership | Empathy | Project Management | Presentation Skills | Problem Solving | Stakeholder Management
Conundrum is an Industrial AI company that develops a SaaS platform for optimal control of metals and mining assets. ๐ฅ๐ฒ๐๐ฝ๐ผ๐ป๐๐ถ๐ฏ๐ถ๐น๐ถ๐๐ถ๐ฒ๐: ๐ข Led a team of 7 data scientists in the development of machine learning modeling and optimization solutions. ๐ข Covered client communication, team management, problem formulation, model development, and solution deployment of complex ML / optimization solutions. ๐ข Data Science team hiring, growth, and development. ๐ข Support of the sales and business development from the AI-product strategy and pre-sale perspectives. ๐๐ฐ๐ต๐ถ๐ฒ๐๐ฒ๐บ๐ฒ๐ป๐๐: โ Increased by $60M+ customer revenue by delivering 4 real-time end-to-end ML solutions that optimized ore processing and smelting plants. The solutions showed 2.5%+ increase of plants throughput and stabilized by 25%+ of the product variability. โ Identified potential $50M customer revenue improvement by completing 5 bottleneck analysis projects for Tier-1 metals and mining companies, resulting in new projects with them. โ Grew and structured a DS team from 5 to 20 data scientists who formed 4 internal teams responsible for specific solution directions. โ Supported closing of 3 multi-million contracts by providing technical support to the sales and business development teams. โ Reduced by 400%+ the time of development and deployment of ML applications by creating a machine learning pipeline template based on Kedro framework. โ Decreased from 15 to 3 days the data quality assessment time by creating a standard library that generated consistent data quality reports for new client data. โ Improved by 70% the DS team task completion rate within a sprint by introducing and adapting Scrum practices. ๐จ๐๐ฒ๐ฑ ๐๐ผ๐ผ๐น๐ ๐ฎ๐ป๐ฑ ๐ณ๐ฟ๐ฎ๐บ๐ฒ๐๐ผ๐ฟ๐ธ๐: Git | GitLab | Kedro | Great Expectations | MLFlow | Scikit-Learn | XGBoost | CatBoost | PyTorch | Keras | Numpy | Pandas | SHAP | Plotly | Matpotlib | Seaborn | Scipy
Ctrl2Go is one of the major AI solution providers for the railway and energy industries in the RCIS region. ๐ฅ๐ฒ๐๐ฝ๐ผ๐ป๐๐ถ๐ฏ๐ถ๐น๐ถ๐๐ถ๐ฒ๐: ๐ข Led a team of 5 data scientists in the development of predictive monitoring machine learning models for various industrial equipment. ๐ข Structured and optimized the company's business to enhance the efficiency of the data science team's contributions. ๐๐ฐ๐ต๐ถ๐ฒ๐๐ฒ๐บ๐ฒ๐ป๐๐: โ Increased by 2.3% smelting plant production by supervising the solution development for optimal ore blending using MINLP formulation in Pyomo. โ Created a comprehensive model database/library for quicker deployment of the existing solutions in new projects. โ Formulated product development directions to the C-level management of the company based on the existing clients and partners and the data science team's expertise. It allowed the company management to prioritize development directions, understand risks, and estimate costs. ๐จ๐๐ฒ๐ฑ ๐๐ผ๐ผ๐น๐ ๐ฎ๐ป๐ฑ ๐ณ๐ฟ๐ฎ๐บ๐ฒ๐๐ผ๐ฟ๐ธ๐: Git | GitLab | Kedro | Great Expectations | MLFlow | Scikit-Learn | XGBoost | CatBoost | PyTorch | Keras | Numpy | Pandas | SHAP | Plotly | Matpotlib | Seaborn | Scipy | Pyomo
Zyfra is one of the major Industrial AI solution providers in the RCIS region. ๐ฅ๐ฒ๐๐ฝ๐ผ๐ป๐๐ถ๐ฏ๐ถ๐น๐ถ๐๐ถ๐ฒ๐: ๐ข Led a team of 3 data scientists in the development of ML solutions for problems in the petroleum industry including process modeling, optimization, and anomaly detection. ๐ข Covered Industrial AI-based product strategy formulation, management, development, and sales. ๐๐ฐ๐ต๐ถ๐ฒ๐๐ฒ๐บ๐ฒ๐ป๐๐: โ Increased by 1.2% oil and gas production for 2 clients by leading the from-scratch development of the โAI Oil Optimization Assistantโ solution. This is web-based ML software for accurate prediction and optimization of oil and gas production in real-time by using machine learning and advanced dynamic optimization algorithms. โ Increased by 5% the drilling speed and reduced by 50% the stuck pipe occurrence on a pilot test by developing a real-time ML solution to detect drilling pipe sticking events. ๐จ๐๐ฒ๐ฑ ๐๐ผ๐ผ๐น๐ ๐ฎ๐ป๐ฑ ๐ณ๐ฟ๐ฎ๐บ๐ฒ๐๐ผ๐ฟ๐ธ๐: Git | GitLab | Kedro | Great Expectations | MLFlow | Scikit-Learn | XGBoost | CatBoost | PyTorch | Keras | Numpy | Pandas | SHAP | Plotly | Matpotlib | Seaborn | Scipy | Casadi
I was developing advanced industrial ML approaches for combining machine learning with process engineering physics for multiphase flow and reservoir modeling and equipment degradation monitoring. ๐๐ฐ๐ต๐ถ๐ฒ๐๐ฒ๐บ๐ฒ๐ป๐๐: โ Reached TOP 6 most cited papers in Computers and Chemicals Engineering Journal (Q1) within the last 3 years based on the Scopus citation system. โ Reached TOP 3 in the ranking of most downloaded papers for 2 publications in 2 Q1 journals. โ Reached over 300 citations within 3 years of active publishing. ๐จ๐๐ฒ๐ฑ ๐๐ผ๐ผ๐น๐ ๐ฎ๐ป๐ฑ ๐ณ๐ฟ๐ฎ๐บ๐ฒ๐๐ผ๐ฟ๐ธ๐: Scikit-Learn | XGBoost | PyTorch | Keras | Numpy | Pandas | Plotly | Matpotlib | Seaborn | Linear Regression | Bayesian Neural Networks | Feed-Forward NN | Gradient Boosting | Random Forest