I can help you conduct data mining and reporting using Python

Why Hire Me?

I transform data into clarity using Python. Whether you're looking to mine sales data, customer feedback, or operational metrics, I extract the patterns that matter and deliver reports you can trust. From advanced analytics to simple trend discovery, I make Python work for your goals—without overcomplicating the process.

Why I’m the Right Expert:

• 7+ years of applied experience in Python-based data analysis

• Skilled in pandas, NumPy, scikit-learn, matplotlib, seaborn, and plotly

• Capable of building end-to-end solutions—from cleaning to modeling to reporting

• Expertise across sectors like e-commerce, healthcare, finance, and logistics

• Able to deliver both static and interactive outputs using Jupyter, Streamlit, or Dash

What I Need to Start Your Project

To ensure precision, relevance, and impact, I require the following:

1) Project Goals & Deliverables

• Objective of the analysis (e.g., churn prediction, trend analysis, product segmentation)

• Preferred format: Jupyter Notebook, static report, interactive dashboard

2) Dataset Details

• File format: CSV, Excel, SQL export, JSON, etc.

• Size of dataset and types of variables (e.g., categorical, numerical, timestamped)

• Whether preprocessing (e.g., null handling, feature engineering) is needed

3) Analysis Preferences

• Data mining tasks desired: clustering, classification, regression, NLP, etc.

• Metrics you want to optimize (accuracy, F1, lift, etc.)

• Python libraries you’d like (or not like) used

4) Reporting & Visualization

• Required visualizations: bar plots, heatmaps, line graphs, histograms, etc.

• Interactivity needs: filterable dashboards, hover effects, dynamic charts

• Output format: HTML, PDF, Python file, web app, etc.

5) Timeline & Review Phases

• Total project deadline

• Milestones for previewing progress and feedback

• Any dependencies that may affect timeline

6) Confidentiality & Access

• Data source and any credentials (if needed)

• Whether NDA or confidentiality terms are to be applied

• Permissions required for API access or database reads

7) Post-Delivery Needs

• Do you want follow-up support to update the report or reuse the code?

• Is a video walkthrough or written documentation required?

• Will this analysis be repeated periodically?

8) Communication Expectations

• Channels to use (email, Zoom, WhatsApp)

• Review cycles: weekly, milestone-based, end-only

• Stakeholders to loop in (team, advisor, manager)