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I will do ai, ml, nlp, and data science solutions
Empowering innovation through AI ML and NLP
Experienced Data Scientist | Data Analyst | Gen AI | NLP | Machine Learning | Deep Learning
Results-driven Data Scientist with 4.5+ years of expertise in predictive modeling, data processing, and dat...
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Are you looking for a professional Data Scientist with expertise in AIML, NLP, and Gen AI? I am here to help! With 7+ years of experience, including 4.5+ years in AI and data analytics, I specialize in Predictive Modeling and make data-driven decisions NLP Chatbots and sentiment analysis Data Analysis & Visualization Insights using Python and Pandas Gen AI Creating AI-driven solutions using advanced models.
Why Choose Me?
Professional experience in AI, ML, and NLP., well-documented code for easy integration And 100% satisfaction guarantee.
Contact me now before placing an order so we can discuss your requirements in detail!
Frequently Asked Questions (FAQ)
Q: What programming languages do you use?
A: I primarily work with Python, using libraries such as PyTorch, Scikit-learn, and OpenCV.
Q: Can you develop a complete AI model for my business?
A: Yes! I can develop, train, and deploy AI models tailored to your business needs.
Q: Do you provide data visualization and analysis?
A: Absolutely! I create interactive dashboards and reports using Pandas, and Power BI.
Q: Can you help integrate AI into my existing application?
A: Yes, I can help integrate AI/ML models into web applications
Lenguaje de programación:
Python
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R
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SQL
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Colab
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MLflow
Marcos:
Scikit-learn
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Google ML Kit
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keras
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PyTorch
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Panda
API:
Microsoft Computer Vision AI
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Azure Face API
Herramientas:
Jupyter Notebook
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opencv
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TensorFlow
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Excel
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Colab
FAQ
What does NLP stand for?
Natural Language Processing (NLP) enables machines to understand, interpret, and generate human language. It powers chatbots, sentiment analysis, speech recognition, and text processing, revolutionizing industries like healthcare, customer and search engines through AI-driven language understanding
Why is dimension reduction important?
Dimensionality reduction enhances ML by eliminating irrelevant features, reducing computation time, preventing overfitting, and improving visualization. It helps extract key patterns from high-dimensional data, making models more efficient, interpretable, and effective in handling complex datasets
