Python Developer for Data Cleaning, Analysis and Visualization

Description: We’re looking for an experienced Python developer to help with a data analysis project. You’ll take raw datasets, clean and structure them, and turn them into clear, useful insights. What you’ll do Clean, transform and validate datasets, including handling missing values, duplicates and inconsistent formats Run exploratory and statistical analysis to find trends and patterns Build clear visualizations that explain the findings Write clean, documented, reusable code Summarize key insights in plain language What we’re looking for Strong Python skills, especially pandas and NumPy Experience with visualization libraries such as Matplotlib, Seaborn or Plotly Solid grasp of data structures and algorithms Ability to work independently and communicate progress clearly A track record of meeting deadlines Nice to have Jupyter Notebooks SQL Experience presenting findings to non-technical stakeholders To apply, please include: A short summary of a similar data analysis project you’ve completed Links to relevant work (GitHub, portfolio or sample notebooks) Your availability and estimated timeline