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

You know who is trying to make you believe that AI will write 90% of the code by 2027?



It’s CEOs of these AI companies.

Not TOP researchers.

Not the ones who ship production every day.

It’s the ones who make billions from the air out of it.

And yet, people believe it.

Timur Bikmukhametov, PhD

Helping grow ML skills & careers in my ML Academy | World Top 3 ML LinkedIn Voice (Favikon)

Cognite

Principal Data Scientist

Senior Data Scientist

Data Scientist

University of Tulsa

Research Assistant working in Tulsa University Horizontal Well Artificial Lift Projects
Core objectives and achievements: 
- Design new plunger lift experimental facility to study effect of deviations and characterize plungers
- Develop physics-based and machine learning models to design and optimize plunger lift systems
- Collaborated with MS student working on continuous plunger lift project
- Biannual presentation of project progress to consortia member companies
- Supervise undergraduate capstone projects

Research Assistant - PhD Student

Chevron

Interned at Chevron Energy Technology Company, Reservoir and Production Engineering Department
Core achievements: 
- Improved organizational capability of the team by completing transient simulations of gas lift and plunger lift using OLGA
- Demonstrated potential for 5-15 % of oil and gas production gain by installing plunger assisted gas lift
- Provided guidelines on optimizing plunger lift cycle time based on the performance of gas lift valves

Petroleum Engineering Intern

Norwegian University of Science and Technology (NTNU)

Research project was provided by Subsea Working Group
Core achievments:
- Designed and conducted slug flow experiments in floating pipes and lazy wave risers
- Generated experimental data for two-way coupled fluid structure simulator 
- Tested one- and two-way coupled flow-structure commercial simulators
- Worked in team with three laboratory members

Research Assistant - MS Student

ECCSEL, consortium aiming to provide access to reseach facilities focused on CCS technologies, provided transnational access to facilities of TNO
Core achievements:
- Developed documentation for transnational access 
- Analyzed different options for CO2 compression process in Dymola software
- Modeled dynamic behavior of reciprocating compressor in Modelica

Research Intern

IMS Group of companies

Engineering company specialized in designing and manufacturing of equipment for hydrocarbon production and transportation
Core achievments and responsibilities:
- Assisted in drawing of P&ID of Air and Nitrogen Generation Stations
- Conducted process calculations of gas pipelines and pig operations
- Developed program calculating gas blow operation of oil pipelines (used language: Delphi)
- Communicated with equipment suppliers

Gas Equipment Engineer (Part-time)

Academic Qualifications:

Ph.D in Petroleum Engineering at the University of Tulsa, with MS in Natural Gas Technology from the Norwegian University of Science and Technology and BS in Pipeline Engineering from Gubkin Russian State University of Oil and Gas.

Areas of Interest:

Petroleum Engineering, Multiphase Flow, Flow Assurance, Artificial Lift, Pipelines, Numerical Modeling, Data Analytics, Process Engineering

Programming Languages:

Python (numpy, scipy, matplotlib, sklearn, pandas, keras), MATLAB, FORTRAN

Software Packages:

OLGA, PIPEsim, Prosper, PVTsim, PROII

Goals:

Application of acquired knowledge in professional area, continuous learning and broadening of interests


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