You will get Python, Data Science, Machine Learning & Deep Learning Solutions
Project details
I’m a Data Scientist and Machine Learning specialist with 7+ years of Python experience and 4+ years in ML/AI. I provide end-to-end solutions: data preprocessing, visualization, ML models, deep learning, NLP, computer vision, and generative AI. My focus is on delivering accurate insights, scalable models, and business-ready AI applications tailored to your needs.
Why me?
✔ Quality results with clear documentation
✔ Strong academic + industry background (M.Tech in CSE)
✔ Proven expertise in Python, ML, and AI
✔ Client-first approach with timely delivery
Let’s discuss your requirements and build your next data-driven solution.
Why me?
✔ Quality results with clear documentation
✔ Strong academic + industry background (M.Tech in CSE)
✔ Proven expertise in Python, ML, and AI
✔ Client-first approach with timely delivery
Let’s discuss your requirements and build your next data-driven solution.
Machine Learning Tools
Apache Spark MLlib, Azure Machine Learning, BERT, ChatGPT, Deeplearning4j, GitHub Copilot, Google AutoML, Google Data Studio, GPT-3, Keras, Kubeflow, Microsoft CNTK, Microsoft Power BI, MLflow, NLTK, NumPy, NVIDIA AI Platform, OpenCV, pandas, Python, PyTorch, SQL, TensorFlow, Word2vec, XGBoostWhat's included
| Service Tiers |
Starter
$30
|
Standard
$60
|
Advanced
$90
|
|---|---|---|---|
| Delivery Time | 3 days | 5 days | 7 days |
Number of Revisions | 1 | 1 | 1 |
Number of Scenarios | 1 | 1 | 1 |
Number of Graphs/Charts | 8 | 8 | 8 |
Model Validation/Testing | - | ||
Model Documentation | - | ||
Data Source Connectivity | |||
Source Code |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$30 - $50
Additional Revision
+$30
Additional Model Variation
(+ 2 Days)
+$20
Additional Scenario
(+ 1 Day)
+$10
Additional Graph/Chart
(+ 1 Day)
+$10
Model Validation/Testing
(+ 1 Day)
+$30
Model Documentation
(+ 2 Days)
+$50Frequently asked questions
About Arpan
AI and Machine Learning Expert | Worked with 12+ clients | 50+ project
Kolkata, India - 9:26 am local time
I'm an experienced Machine learning / AI Developer, Data Science Expert, and Full-Stack Web Developer with 7+ years of Python expertise and over 5 years in Machine Learning, Deep Learning, and AI systems. I specialize in building LLM-powered agents, intelligent automation, and data-driven web applications that deliver real business value.
My key offerings include:
🤖 AI Agent Development: Voice bots, code agents, RAG-based assistants, AI cold callers using tools like VAPI, LangChain, OpenAI, Retell, Synthflow, and more.
🧠 Machine Learning & Data Science: End-to-end model building, NLP, predictive analytics, custom ML pipelines, and LLM integration.
🧰 AI Infrastructure & DevOps: CI/CD, sandbox environments, Docker, GitHub Actions, agent testing frameworks, and reproducible workflows.
🌐 AI Web Applications: Scalable, production-ready apps using React + Vite + TailwindCSS (frontend) and FastAPI (backend), deployed via Vercel/Render.
🔗 Integrations & Automation: Zapier, n8n, Make, Airtable, GoHighLevel, Twilio, CRM sync, chatbot workflows.
I’ve worked with startups and enterprise clients to bring complex AI systems to life—from idea to launch. Whether you need a custom-trained AI model, an LLM-powered assistant, or a smart web app with real-time AI logic, I can build it for you.
Let’s bring your AI ideas to life—message me to start with a free proof of concept.
Steps for completing your project
After purchasing the project, send requirements so Arpan can start the project.
Delivery time starts when Arpan receives requirements from you.
Arpan works on your project following the steps below.
Revisions may occur after the delivery date.
Data Preparation, Exploration & Visualization
I will clean and preprocess your raw data, perform exploratory data analysis (EDA), and create meaningful visualizations to reveal patterns, trends, and actionable insights for better decision-making.
Machine Learning Model Development & Evaluation
I will build predictive machine learning models such as regression, classification, clustering, or recommender systems, evaluate performance using key metrics, and provide well-documented, reusable code.