You will get Custom ML models for business problems and future predictions for all firms
Project details
You will get a custom, production-ready machine learning model built specifically for your data and business problem — whether it's predicting customer churn, classifying data, detecting fraud, forecasting sales, or any other prediction task.
I've built ML models across real internships at BCG and AI Variant — from customer churn prediction using Random Forest with class imbalance handling, to sentiment classification achieving 97% accuracy. I bring that same real-world rigor to your project.
What you get:
✅ Full data cleaning & preprocessing — no garbage in, no garbage out
✅ Multiple model comparison (Random Forest, SVM, Logistic Regression & more)
✅ Hyperparameter tuning for maximum accuracy
✅ Full evaluation — accuracy, precision, recall, F1-score
✅ Clean Python code you own completely
✅ Clear report explaining results in plain English
If your business is sitting on data but not getting answers from it — I'll turn that data into a model that predicts, classifies, and delivers measurable results.
I've built ML models across real internships at BCG and AI Variant — from customer churn prediction using Random Forest with class imbalance handling, to sentiment classification achieving 97% accuracy. I bring that same real-world rigor to your project.
What you get:
✅ Full data cleaning & preprocessing — no garbage in, no garbage out
✅ Multiple model comparison (Random Forest, SVM, Logistic Regression & more)
✅ Hyperparameter tuning for maximum accuracy
✅ Full evaluation — accuracy, precision, recall, F1-score
✅ Clean Python code you own completely
✅ Clear report explaining results in plain English
If your business is sitting on data but not getting answers from it — I'll turn that data into a model that predicts, classifies, and delivers measurable results.
What's included
| Service Tiers |
Starter
$150
|
Standard
$250
|
Advanced
$450
|
|---|---|---|---|
| Delivery Time | 2 days | 6 days | 9 days |
Number of Revisions | 1 | 1 | 3 |
Number of Model Variations | 1 | 3 | 5 |
Number of Scenarios | 1 | 2 | 4 |
Number of Graphs/Charts | 3 | 6 | 10 |
Model Validation/Testing | - | ||
Model Documentation | - | ||
Data Source Connectivity | - | - | |
Source Code |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$25 - $70
Additional Revision
+$15
Additional Model Variation
(+ 1 Day)
+$35
Additional Graph/Chart
+$10
Model Validation/Testing
(+ 1 Day)
+$35About Angel
AI/ML Developer | LangChain & RAG Chatbots | Python, NLP, Analytics
Mumbai, India - 10:06 am local time
In my most recent role, I built a hierarchical multi-agent AI system using LangChain + Claude (Anthropic) for a transaction banking platform in India — processing escrow, NACH, and co-lending operations across 40+ bank partners. I also built an end-to-end RAG chatbot using Gemini 2.0 Flash + Qdrant vector DB that scraped and indexed 1,000+ pages of content, so I know how to take a project from idea to deployed product.
Before that, I completed internships at BCG and Tata where I worked on customer churn prediction, pricing analytics, and AI-driven strategy for financial services teams.
Here's what I can help you with on Upwork:
✅ Machine Learning models — classification, regression, clustering (Random Forest, SVM, Logistic Regression)
✅ NLP & Sentiment Analysis — text preprocessing, feature extraction, model training (97% accuracy achieved)
✅ RAG chatbots & AI pipelines — LangChain, Gemini, vector databases (Qdrant), embeddings
✅ Data Analysis & Dashboards — Python (Pandas, NumPy, Matplotlib, Seaborn), Power BI
✅ Deep Learning — CNNs, VGG16, image classification (95% accuracy)
✅ Recommendation Systems — built with Streamlit for real-time use
I'm certified in Machine Learning with Python, Data Science (ExcelR), and Apache Spark.
I'm new to Upwork but not new to the work. I deliver clean code, clear communication, and results you can actually measure. If you're looking for someone reliable who will put in the effort to get it right — let's talk.
Steps for completing your project
After purchasing the project, send requirements so Angel can start the project.
Delivery time starts when Angel receives requirements from you.
Angel works on your project following the steps below.
Revisions may occur after the delivery date.
Requirements review
I'll understand your data, business problem, and the outcome you need from the model.
Data cleaning & EDA
I'll clean your dataset, handle missing values, and uncover key patterns through exploratory analysis.