I have a large body of text-based information tied to a new Bangalore housing initiative, and I need that raw material turned into something clear, structured, and immediately usable. The task is entirely data-manipulation focused: you will be working only with text. Here is what I need from you: • Cleaning & formatting – remove noise, standardise spelling, unify date and address conventions. • Text analysis – surface key themes, trends, and any recurring issues that decision-makers should know about. • Data extraction – pull out essential fields (location, unit type, price mentions, timelines, stakeholders, etc.) and deliver them in a tabular form ready for import into our main database. The final package should include: 1. A cleaned master text file (or files) in UTF-8. 2. An analysed report with clear insights (PDF or Markdown is fine). 3. A structured CSV/XLSX with every extracted field, headers clearly labelled. Automation is welcome—Python, pandas, or NLP libraries such as spaCy or NLTK are perfectly acceptable—so long as the deliverables meet the accuracy and formatting requirements above.