I will do python data science, machine learning, and data analysis
Software Engineer
Acerca de este Servicio
Looking for an expert Data Scientist to unlock insights, build robust ML models, or guide your data strategy? You are in the right place!
I specialize in Python data science, machine learning, and data analysis. I deliver scalable, production-ready solutions tailored to your unique goals.
What I Offer:
- Machine Learning & Predictive Modeling: Classification, regression, clustering.
- Computer Vision (CV): Object detection, segmentation (OpenCV, PyTorch/TensorFlow).
- NLP & GenAI: Text classification, sentiment analysis, NER, LLM integration, fine-tuning.
- Time Series Analysis: Forecasting, trend analysis, anomaly detection.
- Data Analysis & Visualization: Cleaning, EDA, feature engineering, reporting.
- ML & Data Science Consultation: Pipeline architecture, strategy, optimization.
Tech Stack: Python, MATLAB, Pandas, NumPy, Scikit-Learn, TensorFlow, PyTorch, OpenCV, NLTK, Spacy, Matplotlib, Seaborn, Plotly.
Why Choose Me?
- Engineering Background: Clean, optimized, and well-documented code.
- Tailored Delivery: Fully custom solutions with clear communication.
Please message me before placing an order to discuss scope and details!
Lenguaje de programación:
Python
•
MATLAB
•
SQL
•
Java
•
MLflow
Tecnología:
Python
•
Java
•
PyTorch
•
keras
•
MATLAB
•
Pandas
FAQ
Why should I message you before placing an order?
Every data science and machine learning project is unique. Contacting me first allows us to review your dataset, clarify goals, confirm technical feasibility, and select or customize the right package before any commitment.
Do I need to provide the dataset, or can you scrape/gather data for me?
Ideally, you provide the dataset (CSV, JSON, SQL database, Excel, etc.). If you need web scraping, data collection, or synthetic data generation, please message me beforehand so we can include it as a custom offer.
What deliverables will I receive upon project completion?
Depending on your package, you will receive fully functional, well-commented Python scripts or Jupyter Notebooks (.ipynb), data visualization reports, model metrics/evaluation summaries, and any technical documentation needed

