Machine Learning Data Scientist

Shayan Einollahi

408-***-**** ️ ******.*********@*****.*** linkedin.com/in/shayan-einollahi

PROFESSIONAL SUMMARY

Machine Learning Engineer Data Scientist

Results-driven professional with over 5 years of experience in AI/ML solution design. Proven expertise in MLOps (AWS/GCP/Azure), NLP applications (GPT-4, RAG systems), and predictive modeling. Skilled at collaborating with cross-functional teams to deliver actionable insights.

TECHNICAL SKILLS

Programming & Frameworks:

Python, C++, TypeScript, JavaScript, Django, Flask, FastAPI, React, Node.js

Machine Learning & AI:

Linear/Logistic Regression, GLM, SVM, KNN, LDA, QDA, Naïve Bayes, Random Forest, XGBoost

ANN, CNN, RNN, LSTM, GRU

NLP & Generative AI:

GPT-4, OpenAI API, LLAMA, Mistral, RAG systems

ML Libraries & Tools:

PyTorch, TensorFlow, Keras, Scikit-learn

MLOps & Analytics:

Supervised & Unsupervised Learning, Predictive Analytics, A/B Testing, Model Deployment

Databases & Data Management:

PostgreSQL, MongoDB, MySQL, Redis, Elasticsearch

Cloud & DevOps:

AWS, GCP, Azure, Docker, Kubernetes, CI/CD Pipelines

Software Development & Methodologies:

OOP, Agile, Test-Driven Development (TDD), Domain-Driven Design (DDD)

PROFESSIONAL EXPERIENCE

Machine Learning Engineer

Nour Energy Research Center — July 2024 – Jan 2025

Designed predictive models for Solid Oxide Fuel Cell output voltage with 93% accuracy, reducing testing costs by 30%.

Built models to forecast gas production from biomass waste with 25% higher reliability.

Developed computer vision solutions for window detection in building walls (88% accuracy).

Created predictive models for Bio-BTX and Light Olefins yield, improving resource allocation by 22%.

Led development of smart building climate systems, cutting energy usage by 18%.

Engineered ML models for analyzing radiation effects on BJTs, enhancing resistance assessments by 24%.

Data Scientist Intern

BennuAI Innovations — March 2024 – June 2024

Developed predictive maintenance models, reducing equipment downtime by 15%.

Processed and analyzed large-scale datasets (10TB+) using Python and SQL.

Built NLP pipelines to extract insights from customer feedback for product improvement.

Freelance Machine Learning Engineer / Data Scientist

Remote / Contract--Based — Sept 2020 – Feb 2024

Computer Vision for Quality Control: Built custom CNNs for defect detection in manufacturing using OpenCV and PyTorch; reduced inspection error rate by 30%.

Recommendation Systems: Developed personalized product recommendation engines using collaborative filtering and content-based approaches for e-commerce clients.

Time Series Forecasting: Forecasted stock prices, energy loads, and sales trends using ARIMA, Prophet, and LSTM models.

Custom Chatbots & NLP Solutions: Created domain-specific chatbots (e.g., for real estate and customer support) using OpenAI GPT APIs and spaCy for intent recognition.

AI-Powered Automation: Built AI tools for resume screening, sentiment analysis, and lead scoring; integrated with web apps using Flask/FastAPI and React.

End-to-End ML Pipelines: Designed and deployed complete ML solutions with automated training, evaluation, and deployment using Docker, GitHub Actions, and AWS Lambda/SageMaker.

Client Engagement: Collaborated with international clients to gather requirements, define problem scopes, and deliver production-ready ML/AI systems.

EDUCATION

Bachelor of Science in Computer Science

Tabriz University — Graduated: May 2024

Relevant Coursework: Machine Learning, Artificial Intelligence, Data Structures and Algorithms, Database Systems

Senior Project: Developed a reinforcement learning system for optimizing energy consumption in smart buildings

CERTIFICATE

Irancell Labs Artificial Intelligence Hackthon

https://quera.org/certificate/Lwex3yGC/

LANGUAGES

• English: Fluent

• Persian: Native

• Turkish: Fluent

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