You will get Machine Learning Based Solution based on your data
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Project details
I will provide machine learning solutions in any programming language of your choice. This project include Machine Learning Algorithms (PCA, K-means, Random Forest, XGboost, Logistic Regression, SVM and etc) and Statistical Modelling (Hypothesis Testing, Mixture Mixed Models, General Additive Models, Ordinal Regression, EM, MCMC, ARIMA etc).
Please send me a message to discuss before starting this project.
Please send me a message to discuss before starting this project.
Machine Learning Tools
Python, RWhat's included
| Service Tiers |
Starter
$150
|
Standard
$300
|
Advanced
$650
|
|---|---|---|---|
| Delivery Time | 2 days | 5 days | 7 days |
Number of Revisions | 1 | 1 | 1 |
Model Validation/Testing | |||
Model Documentation | |||
Data Source Connectivity | - | - | - |
Source Code |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$100 - $350
Additional Revision
+$60
Additional Model Variation
(+ 2 Days)
+$100
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About Aru
Lead Data Scientist - AI/ML| Fractional CTO | AI Developer
100%
Job Success
Paris, France - 8:59 pm local time
With 7+ years in ML/AI, I specialize in LLM systems, RAG architectures, and MLOps, helping teams move from prototype to reliable, scalable AI in production.
My focus is not just building models but ensuring they perform under real-world constraints: latency, cost, hallucination control, and continuous improvement.
What I build
-End-to-end ML pipelines: ingestion, training, deployment, monitoring
-RAG systems with proper evaluation harnesses (retrieval quality, regression catching)
-LLM observability: prompt versioning, tracing, feedback loops
-Scalable inference (real-time and batch) with GPU optimization
-CI/CD for ML with MLflow, Airflow, automated retraining
-AI agents with guardrails and reliable tool use
Selected results
-Fraud detection pipeline (real-time inference) → ~$890K in losses prevented
-Forecasting system using ensemble models → 31% accuracy lift over baseline
-Multiple LLM products running in production under client SLAs
-$3M+ in measurable business impact across deployments (happy to walk through specifics on a call)
Stack
-Languages/frameworks: Python, FastAPI
-LLMs: OpenAI, Anthropic, HuggingFace, LangChain, LlamaIndex
-Vector DBs: Pinecone, Weaviate, ChromaDB, FAISS
-Infra: AWS, Docker, Supabase, MLflow, Airflow
How I work
-Replies in 0–4 hours on business days
-Production-grade code with tests and docs, not throwaway notebooks
-Clear scope, direct communication, focused on business outcomes
-Revenue, automation, speed-to-market — that's the scoreboard
Let's turn your AI idea into a working product. Send an invite with your project details and I'll get back to you with a clear plan.
Steps for completing your project
After purchasing the project, send requirements so Aru can start the project.
Delivery time starts when Aru receives requirements from you.
Aru works on your project following the steps below.
Revisions may occur after the delivery date.
Client Start the project and Send me data
First Update