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Fiverr Pro
English
$
USD
I will build custom ml models and predictive analytics in python
Machine Learning Engineer
Unlock the power of data with me! I'm a Machine Learning and Data Science expert, passionate about extracting insights from complex datasets. With a strong background in Python, I deliver accurate and...
About this Gig
Struggling to turn your raw data into reliable predictions? Most businesses sit on goldmines of data but lack the ML expertise to use it. I build production-grade machine learning models that actually work not just notebooks that look good in demos.
WHAT I BUILD FOR YOU
Classification Systems Fraud detection, risk scoring
Regression Models Price prediction, revenue forecasting
End-to-End ML Pipelines Preprocessing training evaluation
Model Optimization Tuning, cross-validation, accuracy improvements
WHY CHOOSE ME
CS graduate from FAST-NUCES
Currently employed as AI/ML Engineer (not just freelancing)
Built production systems: AWS tracking, RAG pipelines, BERT classifiers
Full stack: Scikit-learn, PyTorch, TensorFlow, Pandas, NumPy
Clean, commented Python code not spaghetti scripts
I explain every model decision in plain English
WHAT YOU RECEIVE
Trained, tested ML model (ready to use or deploy)
Full Python source code (clean + commented)
Performance report (accuracy, precision, recall, F1)
Model logic walkthrough
Recommendations for next steps
Message me first describe your data and goal. I'll confirm fit before you order.
Programming language:
Python
•
R
•
SQL
•
NoSQL
Frameworks:
Scikit-learn
•
Keras
•
PyTorch
•
Panda
APIs:
Amazon Rekognition
•
Google Cloud Vision API
Tools:
Jupyter Notebook
•
OpenCV
•
TensorFlow
•
Colab
Other Data Science & ML Services I Offer
FAQ
What types of tasks can NLP help with?
NLP can assist with tasks such as text classification, sentiment analysis, entity recognition, language translation, text summarization, chatbot development, and extracting keywords or topics from text.
How can NLP benefit my business?
NLP can streamline processes such as customer service through chatbots, monitor customer sentiment through feedback analysis, automate report generation, or analyze large volumes of text data to extract actionable insights.
Can NLP work with multiple languages?
Yes, NLP models can be trained or fine-tuned to work with multiple languages. Pretrained multilingual models like BERT, XLM-R, or Google Translate APIs can help analyze or translate text in different languages.
What tools and libraries do you use for NLP projects?
I use powerful libraries like NLTK, SpaCy, Hugging Face Transformers, and TensorFlow or PyTorch for building and deploying NLP models. Additionally, I can work with APIs like OpenAI's GPT for advanced conversational tasks.
What kind of data is required for an NLP project?
Text data such as customer reviews, emails, social media posts, or transcripts are typically used in NLP projects. Depending on the task, labeled data (e.g., sentiment tags) may also be required for training models.
