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

NutraMate

• Extraction of text and individual words from the PDF document.
• Multimodal AI (image and text), Text-to-text LLMs, Token Classification, Generative AI.  
• Became Head of ML to lead and manage engineers and interns on AI/ML/MLops.

Senior ML/AI Engineer (fixed-term)

• For 2 startups, I researched and developed Vision-Language Transformer models for the medical field using multi-modal datasets, image and text for 1) X-ray report generation 2) ECG classification
• Created AI agents using LangChain and Large Language Models (LLMs) to automate human

AI/ML Consultant

Concr

• Developed and deployed AI/ML methods in production that helped Concr secure its first commercial client, marking a significant startup milestone
• Transformers and LLMs for Personalized Treatment Optimization Using RNAseq and Clinical Contexts
• The Clinical Trials Machine Learning Predictor - an innovative tool that simulates clinical trials and advances drug discovery by integrating genetic, histological, clinical, and imaging data. Publication submitted.
• Computer Vision for Medical Pathology - a deep learning model to predict human cell types based on medical pathology images. Investigated the impact on drug response. Presented at the AACR

Computational Scientist in ML/AI

Heriot-Watt University

• Hybrid Deep Learning and Physics-based Method: I designed and developed a deep learning computer vision project that uses convolutional neural networks and physics-based modelling to create a novel hybrid model. Published.
• Computer Vision Physics-Based Research Software: I developed research software and a method that inputs images, performs predictive modelling for Oil&Gas and Climate Change projects. Published. 
• PhD thesis: “Development of computational modelling methods for solid and fluid mechanics in fractures …” 
• Soft skills: collaborated with Shell Global Solutions, Risktec, and Aachen University.  Self-starter - started, designed, developed and published my own Deep Learning project.

Computational and Data Science - Research Assistant 

Baker Hughes, a GE company

• Completed 4 data-driven engineering consulting projects for Chevron, Xcite Energy UK, Moni Pulo Nigeria, and Toyo Engineering Japan. 
• Utilized Bayesian statistics to analyze large multi-modal datasets and develop predictive models to optimize oilfield performance. 
• Soft skills: delivered 30+ client-facing presentations, developed communication skills and the ability to translate complex ideas into actionable insights for clients. Collaborated in multi-disciplinary teams.

Reservoir Engineering Consultant

Tethys Petroleum Ltd

• Developed and implemented predictive models to forecast production rates, identify anomalies, and detect trends, significantly improving data-driven decision-making processes
• Soft skills: Led a team to establish a field laboratory, demonstrating leadership by creating necessary components and assisting with installation

Reservoir Engineer 

• 5 years of DS/ML/AI experience in startups, industry and academia in the UK and Canada
• Client-facing consulting experience at Baker Hughes for Chevron, Xcite Energy UK, MP, Toyo Engineering Japan
• Canada Permanent Residency. Can quickly relocate

taplio

The Battle

Timur Bikmukhametov

Aidan Kubeyev, PhD

Followers

Posts

Engagements

Likes

Ready to grow your LinkedIn presence?