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. 

𝐈 𝐚𝐥𝐬𝐨 𝐞𝐧𝐣𝐨𝐲 𝐡𝐞𝐥𝐩𝐢𝐧𝐠 𝐨𝐭𝐡𝐞𝐫 𝐃𝐚𝐭𝐚 𝐏𝐫𝐨𝐟𝐞𝐬𝐬𝐢𝐨𝐧𝐚𝐥𝐬 𝐠𝐫𝐨𝐰 𝐢𝐧 𝐭𝐡𝐞𝐢𝐫 𝐜𝐚𝐫𝐞𝐞𝐫 𝐛𝐲:
- Upgrading their CVs/LinkedIn
- Providing 1:1 Career Mentoring
- Sharing Free Practical ML Materials to support their technical growth

𝐌𝐲 𝐚𝐜𝐡𝐢𝐞𝐯𝐞𝐦𝐞𝐧𝐭𝐬 𝐨𝐯𝐞𝐫 𝐭𝐡𝐞 𝐩𝐚𝐬𝐭 𝐬𝐞𝐯𝐞𝐫𝐚𝐥 𝐲𝐞𝐚𝐫𝐬:

✅ 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.

✅ 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.

✅ 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.

✅ Grew and structured a DS team from 5 to 20 data scientists who formed 4 internal teams responsible for specific solution directions.

► 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

► Soft Skills: Team Management | Leadership | Empathy | Project Management | Presentation Skills | Problem Solving | Stakeholder Management

Timur Bikmukhametov

Svante

R&D Process Engineer

University of Toronto

Predictive Analytics & Optimization using ML in Process Engineering:
• Conducted data collection and preprocessing to remove null values and clean the data obtained from an industrial unit followed by visualization using a correlogram and plotly packages to understand the relationship between input & output features.
• Conducted comprehensive data analysis and preprocessing for an industrial unit, addressing null values, and outliers using z-score, Cook's distance, and power transformer techniques. Employed PCA for dimensionality reduction after simulating the plant on Aspen HYSYS.
• Engineered robust predictive models for accurate estimation of H2S and SO2 concentrations in Claus reactor outlet, leveraging gas flow rates from different plant sections. Employed diverse machine learning techniques and a genetic algorithm, including MARS, to optimize model performance, enhancing precision and enabling potential process optimization.
• Applied advanced modeling techniques including Regression, SVM, Decision trees, Random Forest, Bagging, and Boosting methods and Neural Networks to develop and fine-tune optimized models, showcasing adaptability and proficiency in delivering effective solutions.

Graduate Research Assistant

L&T Technology Services Limited

• Conducted mass and energy balance using client-provided input data, generating PFDs and P&IDs, while collaborating with internal and external stakeholders throughout greenfield and brownfield project's engineering phases.
• Led water parameter analysis, effluent data assessment, and treatment scheme development for diverse industrial processes.
• Managed project risks, facilitated training, and fostered continuous improvement for standards and learning processes.
• Orchestrated RFQ process, optimizing cost-efficient vendor selection and securing vital equipment for projects.
• Recognized for excellence with a Star Performer Award, overseeing simultaneous execution of 4 projects.
• Spearheaded 20+ quality audits, identified critical issues, and improved deliverable quality via strategic action plans.
• Proficient in project management, innovative problem-solving, and effective client communication.

Process Engineer

A representative from LTTS to the client (SPOC),  this project management role included the following responsibilities: - 
•	Communication between all stakeholders involved in the project, from project manager to planner, document controller, discipline leads, and IT team as well. 
•	Preparation of weekly Project Status Reports & control engineering curve for client submission
•	Review & approval of all documents submitted to the client 
•	Risk identification, analysis & troubleshooting/mitigation planning

Project Engineer 

•	Generation of PFDs and P&IDs
•	Designing/Sizing of Tanks and Separators (2 phase and 3 phase), heat exchangers (Shell & Tube, Jacketed exchangers & Air cooler), and control valves.
•	Line & pump hydraulics 
•	Datasheet/specification sheet for equipment/instrument

Process Engineer 

STEPin program consisted of numerous courses with assessments on the online learning platform "Future skills by Nasscom" and "ATL by L&T". The 6-month online training program was conducted to prepare and help the newly hired graduates adapt to the standards of the engineering service industry.

Trainee

Gujarat State Fertilizers & Chemicals Limited

Industrial training in State of the art Ammonia (IV)plant.

Vocational Trainee 

As an R&D Process Engineer at Svante, I work on developing innovative carbon capture technologies and applications that can reduce greenhouse gas emissions and mitigate climate change. I apply data analytics to design, test, and improve the performance and efficiency of applications, various process units and equipment.

I am also a Graduate Research Assistant at the University of Toronto, where I pursue my Master of Engineering degree in Chemical Engineering and Applied Chemistry. My research focuses on using machine learning to enhance predictive analytics and optimization in process engineering, with applications in industrial and environmental systems. I have conducted data collection, preprocessing, analysis, and visualization, as well as engineered robust predictive models for various scenarios and outcomes.

I am passionate about sustainability, innovation, and continuous learning. I enjoy collaborating with diverse teams and stakeholders, and contributing to impactful projects and solutions. I am always eager to explore new challenges and opportunities, and to leverage my engineering and analytical skills to make a positive difference.

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Timur Bikmukhametov

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