You will get AI-Ready Data Engineering Solutions

Indumati D.Status: Offline
Indumati D. Indumati D.
5.0
Top Rated

Let a pro handle the details

Buy Machine Learning services from Indumati, priced and ready to go.
Indumati D.Status: Offline
Indumati D. Indumati D.
5.0
Top Rated

Let a pro handle the details

Buy Machine Learning services from Indumati, priced and ready to go.

Project details

Build scalable, AI-ready data infrastructure that powers machine learning models, LLM applications, RAG systems, and intelligent automation. I design and develop production-grade data pipelines that collect, process, validate, transform, and deliver high-quality data.

Services Included

✅ AI-Ready Data Pipeline Development
✅ Data Engineering for Machine Learning Workflows
✅ Data Pipelines for LLM & RAG Applications
✅ Feature Engineering & Feature Store Development
✅ Vector Database Integration
✅ Structured & Unstructured Data Processing
✅ API, Database & Cloud Data Integration
✅ Workflow Automation & Pipeline Orchestration

Tech Stack: Python, SQL, PostgreSQL, FastAPI, Apache Airflow, Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch, LangChain, LlamaIndex, OpenAI API, Claude, Gemini, Pinecone, Weaviate, ChromaDB, Elasticsearch, Neo4j, BigQuery, Snowflake, AWS, Azure, GCP, Docker, Git.

I deliver secure, scalable, and production-ready AI data engineering solutions that accelerate machine learning development, improve data quality, optimize model performance, and provide a robust foundation for AI applications, RAG systems, AI agents, predictive analytics, and enterprise automation.
Machine Learning Tools
Amazon SageMaker, Apache Spark, Azure Machine Learning, BERT, ChatGPT, Databricks Platform, Google Data Studio, Keras, KNIME, Kubeflow, Microsoft Power BI, MLflow, NumPy, NVIDIA AI Platform, OpenCV, pandas, Python, Python Scikit-Learn, PyTorch, RapidMiner, scikit-learn, SPSS, SQL, TensorFlow, XGBoost
What's included
Service Tiers Starter
$150
Standard
$600
Advanced
$3,000
Delivery Time 5 days 10 days 30 days
Number of Revisions
123
Number of Model Variations
123
Number of Scenarios
123
Number of Graphs/Charts
51020
Model Validation/Testing
Model Documentation
Data Source Connectivity
Source Code
5.0
1 review
100% Complete
1% Complete
(0)
1% Complete
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1% Complete
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DF

Danisavage F.
5.00
Aug 14, 2025
Spam detection and email analytics dashboard
Indumati D.Status: Offline

About Indumati

Indumati D.Status: Offline
Data Scientist, Python, Power BI, Kibana, Grafana, Neo4j, ETL/ELK, API
100% Job Success
5.0  (1 review)
Jamui, India - 1:25 am local time
🏆 𝗧𝗼𝗽 𝗥𝗮𝘁𝗲𝗱 𝗣𝗹𝘂𝘀 | 10+ 𝗬𝗲𝗮𝗿𝘀 𝗢𝗳 𝗘𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲 | 100+ 𝗣𝗿𝗼𝗷𝗲𝗰𝘁𝘀 𝗰𝗼𝗺𝗽𝗹𝗲𝘁𝗲𝗱,

𝗜 𝗯𝘂𝗶𝗹𝗱 𝘀𝗰𝗮𝗹𝗮𝗯𝗹𝗲 𝗕𝘂𝘀𝗶𝗻𝗲𝘀𝘀 𝗜𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝗰𝗲 𝘀𝘆𝘀𝘁𝗲𝗺𝘀 𝘁𝗵𝗮𝘁 𝗹𝗲𝗮𝗱𝗲𝗿𝘀𝗵𝗶𝗽 𝘁𝗲𝗮𝗺𝘀 𝗿𝗲𝗹𝘆 𝗼𝗻.

With 10+ years of experience across BI, data modeling, and data engineering, I help companies transform fragmented data into a clean, reliable source of truth — and turn it into executive-ready dashboards that drive real decisions.

I am a Data Scientist and Data Engineering professional specializing in Python, data analytics, visualization, ETL pipelines, and business intelligence. Experienced in transforming complex datasets into actionable insights using Power BI, D3.js, Kibana, and Grafana. Build scalable ETL/ELT workflows, interactive dashboards, log analytics solutions, and graph-based data models using Neo4j. Skilled in integrating structured and unstructured data, data cleansing, transformation, statistical analysis, and developing analytics solutions for operational and business decision-making.

Skills:

✔ Data Science & Data Analytics
✔ Python Development
✔ Machine Learning
✔ Data Mining & Statistical Analysis
✔ ETL / ELT Development
✔ Data Engineering & Data Pipelines
✔ Power BI Dashboard Development
✔ D3.js Data Visualization
✔ Kibana & Elasticsearch Analytics
✔ Grafana Dashboards & Monitoring
✔ Neo4j & Graph Database
✔ ELK Stack
✔ Data Cleaning & Transformation
✔ SQL & Database Management
✔ Business Intelligence
✔ KPI & Performance Analytics
✔ Data Integration & Automation
✔ Dashboard & Reporting Solutions

Tech Stack

Languages: Python, SQL, JavaScript
▸ BI & Visualization: Power BI, D3.js, Kibana, Grafana
▸ Data Engineering: ETL, ELT, Data Pipelines, Data Integration
▸ Search & Analytics: Elasticsearch, Logstash, Kibana (ELK Stack)
▸ Databases: Neo4j, PostgreSQL, MySQL, SQL Server
▸ Data Science: Pandas, NumPy, Scikit-learn, Statistical Analysis
▸ Development: REST APIs, JSON, Jupyter Notebook
▸ Monitoring: Grafana, Elasticsearch, Kibana
▸ Cloud/Data Platforms: Azure, AWS, BigQuery

━━━━━━━━━━━━━━━━━━━━━━━
💬 𝗟𝗘𝗧’𝗦 𝗕𝗨𝗜𝗟𝗗
━━━━━━━━━━━━━━━━━━━━━━━
👉 𝗦𝗲𝗻𝗱 𝗺𝗲 𝗮 𝗺𝗲𝘀𝘀𝗮𝗴𝗲 — 𝗜’𝗹𝗹 𝗵𝗲𝗹𝗽 𝘆𝗼𝘂 𝗱𝗲𝘀𝗶𝗴𝗻, 𝗮𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁𝘂𝗿𝗲 𝗮𝗻𝗱 𝗯𝘂𝗶𝗹𝗱 𝗶𝘁 𝘁𝗵𝗲 𝗿𝗶𝗴𝗵𝘁 𝘄𝗮𝘆.

Steps for completing your project

After purchasing the project, send requirements so Indumati can start the project.

Delivery time starts when Indumati receives requirements from you.

Indumati works on your project following the steps below.

Revisions may occur after the delivery date.

AI-Ready Data Engineering Solutions

✅ AI-Ready Data Pipeline Development ✅ Data Engineering for Machine Learning Workflows ✅ Data Pipelines for LLM & RAG Applications ✅ Feature Engineering & Feature Store Development ✅ Data Collection, Cleaning & Transformation ✅ Vector Database

Review the work, release payment, and leave feedback to Indumati.