I can help you conduct data analysis and reporting using Python

Why Hire Me?

I offer expert-level Python-based data analysis backed by 7+ years of industry and academic experience. Whether you're working on business data, research projects, or exploratory analysis, I provide clarity, precision, and value.

Key Strengths:

• Proficient in Pandas, NumPy, Matplotlib, Seaborn, SciPy, scikit-learn

• Skilled in working within Jupyter Notebook, Anaconda, and VS Code

• Capable of handling large, messy, or structured datasets

• Deliver well-annotated, interactive notebooks and professional reports

• Known for clear communication, timely delivery, and practical insights

From exploring customer behavior to preparing machine learning-ready datasets, I tailor each project to your exact specifications.

What I Need to Start Your Work

To ensure accuracy and alignment with your goals, please share the following before we begin:

1) Project Scope and Goals

• Describe your project in 2–3 lines

• List key questions you want the data analysis to answer

• Mention if it is for academic, business, or personal purposes

2) Dataset Details

• Provide data in CSV, Excel, or another format

• Specify number of rows/columns or size if large

• Highlight important variables, target columns, or missing data status

3) Python Libraries or Analysis Requirements

• Specify if you want any particular libraries used

• Mention expected methods: e.g., EDA, regression, classification

• Let me know if code should follow a specific style or structure

4) Report & Documentation Expectations

• Should the report be in PDF, Word, or embedded in the Jupyter Notebook?

• Mention length or word count if applicable

• Specify any visual or statistical outputs you need (e.g., charts, summary tables)

5) Ethical or Legal Compliance

• Any GDPR, IRB, or other compliance rules

• Any need for anonymization or handling of sensitive data

6) Timeline and Deliverables

• Final submission date

• Any interim check-ins or draft reviews needed

7) Communication Preferences

• Preferred channel (email, WhatsApp, Zoom)

• Your availability and timezone

8) Any Additional Instructions

• Reference scripts or past work

• Style preferences for code documentation or report narrative

• Tools/platforms you use (e.g., GitHub, Google Drive)