I will do data analytics and ml projects using python

• Most data projects fail not because of a lack of data, but because raw data is unstructured, uncleaned, and disconnected from real decisions.

I build end-to-end Python data engines and advanced analytics pipelines to turn messy spreadsheets and raw databases into decision-ready business systems.

What I Can Do For Your Project:

Data Cleaning & Automated Audits: Handling missing values, duplicate detection, structural fixes, and data quality validation.

Exploratory Data Analysis (EDA): Deep statistical summaries, distributions, correlations, and executive visualization reports.

SQL Data Warehousing & ETL: Multi-database Star-Schema modeling (PostgreSQL, MySQL, SQLite) with automated upsert pipelines.

Customer Review NLP & Text Mining: Extracting sentiment split, pain points, and complaint categories from raw feedback text.

Predictive Machine Learning & Churn: Custom classification/regression engines, feature engineering, and customer churn prediction.

Causal Inference & A/B Testing Audit: Validating true business impact vs random chance using statistical frameworks.

What You Receive:

Clean, production-ready Python source code (.py or Jupyter Notebooks).