I can help you conduct statistical analysis and reporting using Python

Why Hire Me?

With over 7 years of experience in data analytics, I specialize in using Python for end-to-end statistical workflows across diverse sectors.

• Proficient in Python libraries including Pandas, NumPy, SciPy, Statsmodels, Matplotlib, and Seaborn

• Skilled in descriptive, inferential, and predictive analytics

• Ability to automate reporting workflows for efficiency

• Expertise in tailoring models and outputs to academic, corporate, and technical audiences

• Strong documentation and explanatory skills for non-technical stakeholders

What I Need to Start Your Work

• Project Overview

  • Clear goals or problems you are trying to solve using statistical analysis

  • Any specific research questions, hypotheses, or expected outcomes

• Data and Data Description

  • Dataset(s) in CSV, Excel, or database formats

  • Information on variables, definitions, units, and any preprocessing done

• Analytical Scope

  • Techniques to be applied (e.g., t-tests, regression, correlation, forecasting, etc.)

  • Libraries or statistical packages you prefer or require

• Reporting Preferences

  • Required format of final output (e.g., PDF report, Jupyter Notebook, or script files)

  • Expectations around graphs, tables, and interpretation style

• Logistics

  • Deadlines or phases (if any)

  • Preferred mode of communication and frequency of updates