You will get Data Science Projects with Generative AI & ML | Python, R GPT LLM Analytics
Project details
📊 Data Science + Generative AI = Smarter Insights
Need to unlock insights, predictions, and automation with your data? I’ll build end-to-end Data Science projects powered by Python, R, Machine Learning, and Generative AI (GPT/LLMs)
🔹 What I Offer:
Data Analysis & Visualization → Python (Pandas, Matplotlib), R (ggplot2, tidyverse)
Predictive Modeling → regression, classification, time series, clustering
Generative AI Integration → GPT/LLMs for data summarization, insight generation, text mining
Machine Learning → Random Forest, XGBoost, Neural Nets
Advanced Analytics → statistical modeling, hypothesis testing, A/B testing
Custom Dashboards → business-ready insights in notebooks or BI tools
🔹 Use Cases:
✔️ Business intelligence with AI insights
✔️ Automated data storytelling LLMs (GPT/Claude)
✔️ Predictive analytics -finance, healthcare, retail, SaaS
✔️ Research projects classical ML + Generative AI
✔️ NLP + data mining (text summarization, sentiment analysis)
🔹 Why Me?
5+ years in Data Science, ML, and Generative AI
Python, R, and LLM integration
Focused on interpretable, actionable, and scalable insights
👉 Let’s transform your data into decisions using ML + Generative AI
Need to unlock insights, predictions, and automation with your data? I’ll build end-to-end Data Science projects powered by Python, R, Machine Learning, and Generative AI (GPT/LLMs)
🔹 What I Offer:
Data Analysis & Visualization → Python (Pandas, Matplotlib), R (ggplot2, tidyverse)
Predictive Modeling → regression, classification, time series, clustering
Generative AI Integration → GPT/LLMs for data summarization, insight generation, text mining
Machine Learning → Random Forest, XGBoost, Neural Nets
Advanced Analytics → statistical modeling, hypothesis testing, A/B testing
Custom Dashboards → business-ready insights in notebooks or BI tools
🔹 Use Cases:
✔️ Business intelligence with AI insights
✔️ Automated data storytelling LLMs (GPT/Claude)
✔️ Predictive analytics -finance, healthcare, retail, SaaS
✔️ Research projects classical ML + Generative AI
✔️ NLP + data mining (text summarization, sentiment analysis)
🔹 Why Me?
5+ years in Data Science, ML, and Generative AI
Python, R, and LLM integration
Focused on interpretable, actionable, and scalable insights
👉 Let’s transform your data into decisions using ML + Generative AI
AI Algorithms
AlexNet, CycleGAN, Gated Recurrent Unit, Large Language Model, Linear Discriminant Analysis, Long Short-Term Memory Network, Multilayer Perceptron, Multimodal Large Language Model, Restricted Boltzmann Machine, StyleGANAI Applications
AI Chatbot, AI Content Creation, AI-Enhanced Medical Imaging, AI-Generated Music, AI-Generated Video, AIOps, Conversational AI, Facial Recognition, Neural Machine Translation, Neural Style Transfer, Speech Synthesis, Synthetic Data GenerationAI Development Language
PythonAI Tools
Azure OpenAI, Bing AI, GitHub Copilot, Gradio, Hugging Face, Jasper AI, Microsoft 365 Copilot, NVIDIA AI Platform, PyTorch, StreamlitAI Models
BLOOM, ChatGPT, DALL-E, Dolly, GPT-J, GPT-Neo, Jurassic-2, LaMDA, LLaMA, Midjourney AI, OpenAI Codex, Stable DiffusionWhat's included
| Service Tiers |
Starter
$95
|
Standard
$745
|
Advanced
$1,495
|
|---|---|---|---|
| Delivery Time | 1 day | 3 days | 5 days |
AI Model Integration | |||
Batch Normalization | - | ||
Database Integration | |||
Detailed Code Comments | |||
Image Upscaling | |||
MLOps | - | - | |
Model Deployment | |||
Model Documentation | - | - | |
Model Monitoring | - | - | |
Model Testing & Optimization | - | ||
Model Tuning | - | - | |
Natural Language Processing | - | ||
NLP Tokenization | - | ||
Pre-Training | - | - | |
Prompt Engineering | |||
Setup File | - | - | |
Source Code |
Frequently asked questions
4 reviews
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MM
Mick M.
Jan 20, 2024
Programmatic Subplots Pandas
Perfect result!
GM
George M.
Feb 19, 2023
Need help with data science
He communicates very well and delivers great work. I'd like to work with Muhammad again.
AK
Abhishek K.
Jul 13, 2021
I want to learn python from scratch with problem solving
Noman is amazing with python. He gave me pretty good exposure to python concepts and provided a roadmap to become a python web developer with flask.
JB
John B.
May 16, 2021
Join our team on GitHub !!
Thanks !! 🚀🚀
About Muhammad Noman
Python Data Scientist, ML & Big Data Engineer, Generative AI -LLM, API
Karachi, Pakistan - 1:50 am local time
I help enterprises transform raw data into scalable AI/ML solutions that cut costs, boost efficiency, and drive measurable ROI.
💼 Work:
✅ AI Agents & Chatbots: Built IBM Watson + LLM (LangChain, RAG, XAI) chatbot handling 5,000+ monthly queries, cutting response time by 40% and boosting CSAT by 18%
✅ Fraud Detection Models: Developed an ML pipeline improving transaction monitoring by 20% accuracy and reducing false positives by 15%
✅ OCR & Automation: Engineered OCR workflow with Python/OpenCV, integrated into Temenos T24, reducing manual data entry by 60%
✅ Data Pipelines: Automated ETL (DB2 → Hive → SQL Server → Power BI Server) via PySpark/Scala + Cron, reducing runtimes by 30% and ensuring reliability with log monitoring
✅ Big Data Engineering: Managed 12-node Cloudera clusters (100+ TB) with 99.9% uptime, optimizing Spark + Hive workloads for faster queries
✅ BI Dashboards: Designed 30+ dashboards in Power BI, Tableau, Qlik & IBM Cognos, deployed for 1,000+ enterprise users across Risk, Compliance & Finance
✅ Streaming Pipelines: Built Kafka + Spark streaming systems for real-time analytics, processing 2M+ daily transactions
✅ Regulatory Reporting: Automated SBP compliance reports (Python + SQL chaining), cutting manual effort by 70%
✅ RPA Bots: Built a Selenium-based compliance bot, saving 50+ hours/month in analyst workload
✅ Data Warehousing: Migrated 50+ TB structured/unstructured data on Cloudera stack (Hive, HDFS, Impala), cutting storage costs by 20%
💻 Skills:
☑ Languages: Python, R, Scala, SQL, Bash
☑ Generative AI: LLMs (GPT, LLaMA, Claude), LLM fine-tuning (LoRA, PEFT), RAG pipelines, LangChain, LlamaIndex, AI Agents, Vector Databases (Pinecone, Weaviate, FAISS, Milvus, ChromaDB), Prompt Engineering, Chatbots, Multi-Modal AI, Knowledge Graphs, Guardrails, XAI (SHAP, LIME)
☑ Big Data & Cloud: Cloudera, Hadoop (HDFS, MapReduce, YARN), Spark (PySpark/Scala, MLlib, Streaming), Kafka, Flink, Hive, Pig, Impala, Storm, Sqoop, Oozie, NiFi, Zookeeper, Databricks, Snowflake, Delta Lake, Data Warehouse Architecture, Presto, AWS (SageMaker, EMR, S3, Lambda, Redshift), GCP (BigQuery, Vertex AI), Azure (Synapse, ML, OpenAI)
☑ ETL & Data Engineering: Airflow, dbt, Cron, Pandas, NumPy, Spark SQL, Data Wrangling, APIs, Automation, ETL pipelines, OpenCV, BeautifulSoup, Scrapy
☑ Databases: SQL Server, MySQL, PostgreSQL, IBM DB2, MongoDB, Hive, Cassandra, Redis, Elasticsearch
☑ Machine Learning & Data Science: Predictive analytics (Deposit Prediction, Fraud Detection), NLP, Computer Vision, OCR, Supervised/Unsupervised Learning, Reinforcement Learning, Deep Learning (CNNs, RNNs, Transformers), scikit-learn, TensorFlow, Keras, PyTorch, XGBoost, LightGBM, CatBoost, Hugging Face, AutoML, MLOps (MLflow, Kubeflow, DVC, Airflow
☑ Business Intelligence & Visualization: Power BI, Tableau, Looker, Qlik, IBM Cognos Analytics, Excel, Matplotlib, Seaborn, Plotly, PBI Report Server Configuration
☑ Development (Backend & Full-Stack): Python (APIs, automation, ETL, backend), Django, Flask, FastAPI, Streamlit, Node.js, React, WordPress (Elementor), Odoo ERP, AI SaaS apps
☑ Automation: RPA bots (Selenium), Web Scraping, ETL Workflow Automation
☑ DevOps & Tools: Git, Gitlab, Docker, Kubernetes, CI/CD pipelines, Jupyter, PyCharm, Anaconda Distribution
🌎 Trusted by clients in banking, fintech, e-commerce, and enterprise systems for writing clean, scalable, and production-ready code.
📩 Not sure where to start? Share your challenge with me, and I’ll map out a step-by-step AI/data strategy - no fluff, just actionable insights that you can apply right away.
Steps for completing your project
After purchasing the project, send requirements so Muhammad Noman can start the project.
Delivery time starts when Muhammad Noman receives requirements from you.
Muhammad Noman works on your project following the steps below.
Revisions may occur after the delivery date.
What’s your goal (prediction, insight generation, automation, research)?
Do you have a dataset? If yes, please share sample/format.