Seeking opportunities to develop and deploy end-to-end ML solutions, with expertise in both predictive modeling and production systems.
Andrew Chauzov
@andrewchauzov
ML Engineer | NLP, LLM
What I'm looking for
I create high-impact DS/ML/NLP solutions that transform ideas into actionable, business-driving implementations. I’ve helped companies boost revenue, attract new clients, and expand their product lines by leveraging data science and machine learning techniques.
My passion for data modeling started during my Master's thesis and has evolved into nearly 5 years of data analytics experience in the marketing and power industries, where I’ve empowered companies to become more data-driven and make better decisions.
As an independent DS/ML consultant, I’ve successfully delivered projects across various domains, from startups to established enterprises, applying ML to solve real-world business challenges.
Currently, I’m focused on NLP and exploring the transformative potential of Generative AI.
LLM & GenAI: GPT, LlaMa, Claude, RAG (Langchain, LlamaIndex), Vector DBs (Qdrant), PEFT, LoRA
NLP & ML: BERT, USE, Transformers, Hugging Face, PyTorch, Keras, scikit-learn, LightGBM
MLOps & Cloud: AWS, GCP, Docker, Kubernetes, FastAPI, Airflow, CI/CD, MLFlow, Weights & Biases
Experience
Work history, roles, and key accomplishments
Independent ML Consultant
Independent Consulting Services
Nov 2023 - Dec 2024 (1 year 1 month)
Deliver advanced NLP/LLM solutions driving measurable business impact across industries.
- Achieved 90% query relevance for RAG-based recommendation engine using LlamaIndex/Qdrant.
- Showed 95% accuracy by implementing a content filtering system using a custom LLM model.
- Increased from 70% to 85% AI code detection accuracy via AST parsing and LoRA fine-tuning.
Data Scientist & ML Engineer
CRED
Nov 2020 - Oct 2023 (2 years 11 months)
Engineered AI initiatives driving revenue growth across product verticals.
- Generated 10x ROI by designing talent scoring models using advanced feature engineering.
- Reduced acquisition costs 25% through PL function matching system, achieving 10x speedup.
- Improved data quality 15% by implementing a ML enrichment pipeline for 450M+ records.
Data Scientist
Independent Consulting Services
Jan 2017 - Jul 2022 (5 years 6 months)
Developed end-to-end machine learning solutions for startups and small businesses, driving cost savings, efficiency, and revenue growth.
Middle/Senior Data Analyst
Association 'Non-Profit Market Council'
Feb 2012 - Dec 2016 (4 years 10 months)
Engaged in data-driven initiatives for a power energy market regulator, achieving 2.5-10% revenue growth through data modeling and enrichment while leading team mentorship and stakeholder collaboration after promotion.
Junior Data Analyst
BrandScience
Jul 2011 - Feb 2012 (7 months)
Collaborated on data-centric strategies, developed econometric and predictive solutions, and automated data collection processes (boosting efficiency 3x), resulting in a 10% ROI improvement for a top-3 telecom company.
Education
Degrees, certifications, and relevant coursework
PFUR
Master of Science - MS, Applied Mathematics & Computer Science
2004 - 2011
During my Master's program, I took my initial dive into econometrics and mathematical modeling.
Tech stack
Software and tools used professionally
Selenium
Plotly.js
Amazon EC2
Google Cloud Platform
GitHub
Kubernetes
CircleCI
PyQt
Jupyter
NumPy
Pandas
MySQL
PostgreSQL
Redis
Python
Visual Basic
TensorFlow
PyTorch
MLflow
scikit-learn
Keras
Streamlit
Neptune
NLTK
Flask
FastAPI
Transformers
SpaCy
Ubuntu
Debian
Linux
Heroku
Google Workspace
Oracle PL/SQL
pytest
Docker
Airflow
Google BigQuery
Luigi
Amazon Web Services (AWS)
SQL
XGBoost
SciPy
Hugging Face
LightGBM
CatBoost
Availability
Location
Authorized to work in
Salary expectations
Social media
Job categories
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