Deepak Kumar

I build production AI systems and dashboard automations that turn data into decisions.

• Certified Data Scientist
• I help startups and SMEs across healthcare, energy, and other enterprise to deliver analytics — from dashboards to deployable models.

View My Work
  • Production RAG agents • LangChain
  • Power BI dashboards • DAX
  • End-to-end ML pipelines
  • Deployment & monitoring
Workspace
Next Availability
Mon–Fri • 10:00–17:00 IST
RMSE: 0.052
Deployments: 2
Articles: 6

About

Quick Snapshot — My Story

I’m Deepak Kumar — a Data Scientist AI Agent Developer and Automation Engineer helping businesses grow faster through intelligent systems. I build solutions that combine machine learning, AI agents, automation, and data engineering to turn raw data into efficiency, clarity, and measurable business impact.

I design and deploy scalable ML pipelines, automation workflows, and RAG-powered conversational agents using modern AI stacks. My work focuses on reducing operational load, boosting decision speed, and enabling companies to increase revenue with smart, automated systems.

Core Strengths

  • → Predictive analytics & time-series forecasting
  • → Explainable AI (SHAP, LIME, XAI frameworks)
  • → RAG systems & vector database–powered AI assistants
  • → AI agent development using n8n & LangChain
  • → Workflow automation for CRM, ops & business intelligence
  • → Full-cycle data product development & deployment

Tools & Ecosystem

Python, scikit-learn, TensorFlow, PyTorch, LangChain, OpenAI, n8n, Pinecone, ChromaDB, SQL, Power BI, Streamlit, FastAPI, Docker, GitHub Actions, Vercel, and modern MLOps workflows.

Tech Stack — Layers

Modeling

scikit-learn, Prophet, PyTorch, GNN

LLM & Agents

OpenAI, LangChain, n8n

Retrieval

Pinecone, ChromaDB, PostgreSQL

Visualization

Plotly, Power BI, matplotlib, Seaborn

Deployment & Ops

FastAPI, Docker, Vercel

Automation

n8n, GitHub Actions

Selected Projects

End-to-end projects showing modeling, deployable demos and business impact.

Solar Power Forecasting

Solar Power Forecasting

Forecasted short-term generation for two solar plants using Prophet & LSTM. Improved scheduling accuracy and reduced reserve costs.

MAE: 0.038 Python
Customer Churn

Customer Churn Prediction (SHAP)

Built an explainable churn model for a telco client; SHAP-driven interventions led to an estimated 12–15% churn reduction in simulation.

AUC: 0.87 scikit-learn
Healthcare Analytics

Healthcare Analytics Dashboard

Interactive dashboards to analyze patient outcomes and operational KPIs. Reduced report generation time and improved capacity planning.

Reports: 10+ Tableau
Market Basket Analysis

Market Basket Analysis

Association rule mining for retail to design targeted cross-sell bundles, increasing average basket value.

Python
Financial Dashboard

Financial Performance Dashboards

Developed Power BI dashboards for finance teams to monitor KPIs and perform variance analysis for leadership decisions.

Power BI
Coming Soon

AI Agent — Research Assistant (Coming Soon)

End-to-end agent architecture combining retrieval + analysis + summarization to automate literature reviews.

RAG Coming Soon →

Services — How I Help

Practical, outcome-driven data science & analytics services you can hire me for.

Data Cleaning & Feature Engineering

End-to-end ETL, data quality checks, and feature pipelines to prepare data for reliable modeling.

Pandas SQL

Machine Learning Model Development

Supervised models, time-series forecasting, model validation, and interpretability (SHAP).

scikit-learn TensorFlow

Dashboards & Reporting

Executive dashboards in Power BI & interactive prototypes in Streamlit for stakeholder-driven insights.

Power BI Streamlit

RAG & LLM Integration

Build retrieval-augmented workflows to answer domain documents and build knowledge assistants.

LangChain Vector DBs

Statistical Analysis & Research

Design experiments, hypothesis testing, regressions and reproducible reports for academic & industry research.

R / Python

Automation & Pipelines

Automate data workflows using n8n, Airflow/Prefect patterns and simple integrations for faster insights.

n8n

Insights & Articles

Short, practical guides and case studies I publish to help teams adopt ML responsibly.

Generative AI

Generative AI in Clinical Data

How generative models can assist clinicians while preserving privacy and accuracy.

Sep 2025 Read →
n8n and AI

n8n + AI Agents for Workflow

Practical patterns to connect automation with LLMs for repeatable business processes.

Aug 2025 Read →
Energy Analytics

Predictive Analytics in Energy

Short-term forecasting and anomaly detection for plant operations.

Jul 2025 Read →
Data Privacy

Data Privacy in AI Systems

Balancing innovation with responsible data use to protect patient and business privacy in AI workflows.

Jun 2025 Read →
Real-Time Analytics

Real-Time Analytics with AI

Deploying real-time AI analytics to improve decision-making in healthcare, logistics, and energy systems.

May 2025 Read →
Scaling AI

Scaling AI for Enterprise

Best practices for taking machine learning solutions from prototypes to production at scale.

Apr 2025 Read →
Coming Soon
Future of AI in Education

Future of AI in Education

AI-driven personalized learning systems and their impact on global education systems.

Coming Soon Read →
Coming Soon
Sustainable AI Practices

Sustainable AI Practices

Making AI models more energy-efficient and environmentally friendly for the future.

Coming Soon Read →
Coming Soon
AI + IoT for Smart Cities

AI + IoT for Smart Cities

Integrating AI with IoT to build smarter, safer, and more efficient urban environments.

Coming Soon Read →

Get in Touch

Have a project, collaboration, or question? Send a quick message and I’ll reply within 48 hours.

Contact Details

Email: agentbuilder10@gmail.com

Location: Haryana, India

Quick Availability

Open to freelance projects, contract work, and collaborations (remote worldwide).

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