You will get Data Analysis with Python and Machine Learning
Top Rated
Project details
Are you ready to turn your raw data into gold? Look no further! With over 4 years of expertise in Data Analysis, Machine Learning, and Python sorcery, I bring a blend of experience and passion to elevate your projects.
What I Offer:
š Data Analysis Brilliance
š¤ Machine Learning Mastery
š Python Prowess
Tech Stack:
š Frameworks: TensorFlow, Scikit Learn, PyTorch, OpenAI, Generative AI
š Visualization: Matplotlib, Seaborn, Plotly
š Data Wrangling: Pandas, NumPy, SciPy
š Web Scraping: Beautiful Soup, Scrapy
š Dashboarding: Dash, Power BI
š Latest Libraries: Stay ahead with Hugging Face Transformers, NLTK, and SpaCy.
Why Choose Me:
āØ I stay ahead with the latest technologies, ensuring your solutions are future-proof.
āØ Tailor-made approaches for your unique business needs.
āØ Proven track record of delivering impactful insights.
Ready to embark on a data-driven journey? Let's transform your information into innovation! Contact me, and let's make your data tell a compelling story.
What I Offer:
š Data Analysis Brilliance
š¤ Machine Learning Mastery
š Python Prowess
Tech Stack:
š Frameworks: TensorFlow, Scikit Learn, PyTorch, OpenAI, Generative AI
š Visualization: Matplotlib, Seaborn, Plotly
š Data Wrangling: Pandas, NumPy, SciPy
š Web Scraping: Beautiful Soup, Scrapy
š Dashboarding: Dash, Power BI
š Latest Libraries: Stay ahead with Hugging Face Transformers, NLTK, and SpaCy.
Why Choose Me:
āØ I stay ahead with the latest technologies, ensuring your solutions are future-proof.
āØ Tailor-made approaches for your unique business needs.
āØ Proven track record of delivering impactful insights.
Ready to embark on a data-driven journey? Let's transform your information into innovation! Contact me, and let's make your data tell a compelling story.
Machine Learning Tools
Amazon SageMaker, GitHub Copilot, Google Data Studio, Keras, NLTK, NumPy, pandas, Python, Python Scikit-Learn, PyTorch, scikit-learn, SciPy, Scrapy, SQL, TensorFlowWhat's included
| Service Tiers |
Starter
$400
|
Standard
$800
|
Advanced
$1,200
|
|---|---|---|---|
| Delivery Time | 5 days | 10 days | 12 days |
Number of Revisions | 0 | 1 | 2 |
Number of Model Variations | 1 | 2 | 3 |
Number of Scenarios | 1 | 2 | 3 |
Model Validation/Testing | |||
Model Documentation | - | ||
Data Source Connectivity | |||
Source Code | - |
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AS
Aidan S.
May 6, 2026
Business workflows automation with AI
Abid is a great developer and expert with building agentic AI across various technologies. He does a great job of keeping up to date with the latest trends across the AI world to ensure building at the edge of new capabilities.
MY
Marvin Y.
Oct 22, 2025
Lila AI (Alpha Version)
Abid delivered good work for our project. Punctual. Responsive. Resourceful. Great Communication.
AS
Aidan S.
Oct 7, 2025
Building AI Features
Abid was great! Super diligent at his craft and wonderful to have on the team.
JH
Jack H.
Apr 8, 2025
PropTech API LLM Bot
WA
Wael A.
Mar 10, 2025
AI Analysis of data
About Abid
AI Developer | Multi-Agent Systems and Workflows
100%
Job Success
Bangkok, ThailandĀ - 11:33 pm local time
What I Build
- Multi-Agent Systems ā LangGraph Supervisor architecture for autonomous, complex decision workflows
- RAG Pipelines ā semantic search and retrieval with Pinecone, ChromaDB, and PGVector
- Workflow Automation ā n8n + LangChain integrations with CRMs, ERPs, and third-party APIs
- Document Intelligence ā contract analysis, data extraction, and invoice processing automation
- Negotiation & Decision Agents ā multi-stakeholder AI with complex state and memory management
- AI Analytics ā real-time KPI dashboards powered by LLM-based data processing
Recent Work
- Built a multi-agent deal extraction system for the music industry ā specialized agents for Producer, Mixer, Featured Artist, and Publishing contracts operating under a LangGraph Supervisor pattern, deployed on GCP Cloud Run
- Automated contract analysis pipeline reducing manual document review from hours to minutes
- Developed multi-party negotiation agent handling complex decision trees across stakeholders
- Built RAG-powered internal knowledge system with PGVector similarity search at production scale
My Process
I scope the agent architecture before writing a line of code, deliver a working prototype within 48ā72 hours for your validation, then build toward production with proper error handling, observability, and cloud infrastructure ā not just demos.
Technical Stack
- Agent Frameworks: LangGraph, LangChain, LlamaIndex, CrewAI
- LLMs: GPT-4/4o, Claude, Gemini, LLaMA 3, Mistral, DeepSeek
- Automation: n8n, Google Apps Script
- Vector DBs: Pinecone, ChromaDB, FAISS, PGVector
- Cloud / Infra: GCP Cloud Run, AWS Lambda, Docker, CI/CD
- ML / NLP: PyTorch, HuggingFace Transformers, spaCy
- Research background: Published ML research in ISPRS International Journal of Geo-Information (2022)
Working With Me
I take on a limited number of projects at a time. If you're building an agent system from scratch, migrating from basic automation to LangGraph architecture, or automating a document-heavy workflow ā let's talk.
Steps for completing your project
After purchasing the project, send requirements so Abid can start the project.
Delivery time starts when Abid receives requirements from you.
Abid works on your project following the steps below.
Revisions may occur after the delivery date.
Preliminary discussion
This step includes a discussion about project details before starting the contract.
Setting up the contract.
Discussion about the contract, timeline, budget and milestones.