Data Scientist / ML Expert Needed – NLP, Data Cleaning & Visualization

Hi! I'm looking for a skilled data scientist to help me clean, analyze, and make sense of a dataset that includes both text and structured data. What I need help with: Cleaning messy data (missing values, duplicates, weird formatting) using Python/Pandas Exploratory data analysis to find patterns and trends Some NLP work — things like text cleaning, sentiment analysis, topic modeling, or entity extraction Building simple ML models (classification/regression/clustering, depending on the data) Creating clear charts/visualizations to show the findings Delivering everything in an organized Jupyter notebook with comments/explanations You should have:Strong Python skills (Pandas, NumPy, Scikit-learn) Experience with NLP tools (spaCy, NLTK, or Hugging Face) Good eye for visualization (Matplotlib/Seaborn/Plotly) Real experience cleaning messy real-world data Ability to explain your findings in plain English, not just code Bonus points if you know: SQL TensorFlow/PyTorch Tableau/Power BI/Streamlit This could turn into ongoing work if it goes well. Please apply with a couple of examples of similar past projects (NLP or data cleaning specifically) — and a quick note on how you'd approach this. Looking forward to your proposal.