+91 7358236433 | academicexpertphd@gmail.com

Clean, Commented, Reproducible Code for Academic Projects

From Python, R, and MATLAB to Java and C++, we build scripts, models, simulations, and automation tailored to your brief. You receive well-structured code, documentation, and optional testing so you can run, extend, and present with confidence.

Get a Free Quote Chat on WhatsApp
Python · R · MATLAB · Java · C++ ML/AI Simulation Automation Data & ETL

What We Build

Data Analysis & Visualization

Exploratory analysis, statistical tests, and publication-ready plots.

  • pandas/NumPy · tidyverse
  • Matplotlib/Plotly · ggplot2
  • STEM & business datasets
Machine Learning & Modeling

Classical ML to deep learning with clear evaluation & reports.

  • scikit-learn · TensorFlow · PyTorch
  • Cross-validation & metrics
  • Reproducible pipelines
Simulation & Optimization

Numerical methods, Monte Carlo, operations research.

  • MATLAB toolboxes · SciPy
  • LP/QP/ILP via OR-Tools
  • Custom algorithms
Automation & ETL

Batch jobs, file/data processing, and reproducible pipelines.

Python scripts R scripts Shell Airflow basics
Web Scraping & APIs

Structured scraping, API integrations, and data cleaning.

requests BeautifulSoup Selenium REST/JSON
Dashboards & Notebooks

Jupyter/RMarkdown, Streamlit, Shiny, or simple Flask views.

Jupyter RMarkdown Streamlit Shiny

Tech Stack We Support

Languages & Environments
PythonRMATLAB JavaC++Octave LaTeX (docs)
Libraries & Tools
NumPypandasSciPy scikit-learnTensorFlowPyTorch MatplotlibPlotlyggplot2
Data, DB & DevOps Basics
CSV/Excel/JSONSQLMySQL PostgreSQLMongoDBGit requirements.txtvirtualenvDocker (opt.)
Web & Apps (lightweight)
FlaskDjango (basics) StreamlitShiny API clients
Service Level Focus Includes Best For
Starter Script Core functionality Single script/notebook, comments, basic docs Small tasks
Project Build Structured solution Modular code, README, sample data, basic tests Coursework/mini-projects
Advanced Model ML/Simulation Pipelines, evaluation, reports, optimization Thesis/research

Our Coding Process

  1. Brief & Scope – objectives, inputs/outputs, deadlines.
  2. Plan – approach, libraries, milestones, and deliverables.
  3. Develop – iterative coding with checkpoints.
  4. Test & Review – sample runs, accuracy checks, refactoring.
  5. Handover – code + docs + run instructions (and optional call).

Your problem statement, datasets/sample, preferred language/tooling, any style guide, and the deadline. Optional: example outputs.

We provide a README with step-by-step instructions, environment info (requirements.txt/renv), and example commands or a starter notebook.
Coding Process
README + Comments Tests (where relevant)

What You’ll Receive

Clean, commented code; a README with setup/run instructions; sample data or mocks (if needed); and basic tests or validation outputs for confidence.

Deliverables Checklist
  • Source code (scripts/modules/notebooks)
  • README (setup, usage, examples)
  • requirements.txt / renv.lock / MATLAB notes
  • Sample data or synthetic mocks
  • Basic tests/validation (where applicable)
  • Optional: Dockerfile or environment export
Typical Turnaround
ScopeStandardExpress
Small script / analysis24–48 hours12–24 hours
Medium assignment / model2–4 days24–48 hours
Large project / thesis code5–10 daysBy scope
* Timelines vary by complexity, dataset size, and tooling.
Request a Free Quote

Frequently Asked Questions

Python, R, MATLAB, Java, C++, and Octave; libraries like NumPy/pandas/SciPy, scikit-learn/TensorFlow/PyTorch, ggplot2, and toolchains like Jupyter, RStudio, and Git.

Yes—we implement your brief and provide commented code and documentation so you understand and can present it confidently.

Absolutely. All code is written for your project and is unique to your requirements.

We provide a README with environment setup (requirements.txt/renv), step-by-step commands, and example runs. Optional call can be arranged.

Yes—send a sample or subset if the full dataset is huge, and we’ll design memory-efficient pipelines or chunked processing where possible.

Where relevant, we include simple tests or validation outputs and sample data to verify correctness.

Yes. We can sign an NDA on request and follow strict data handling practices; your files are not shared with third parties.

Small scripts: 24–48h; medium assignments: 2–4 days; large projects: 5–10 days. Express options are available depending on scope.

Based on scope, complexity, language/tooling, and deadline. Share your brief for a fast, transparent quote.

Yes—reasonable revision rounds are included to address clarifications or minor changes within the agreed scope and timeframe.