Solar Power Forecasting
Forecasted short-term generation for two solar plants using Prophet & LSTM. Improved scheduling accuracy and reduced reserve costs.
• Certified Data Scientist
• I help startups and SMEs across healthcare, energy, and other enterprise to deliver analytics — from dashboards to deployable models.
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.
Python, scikit-learn, TensorFlow, PyTorch, LangChain, OpenAI, n8n, Pinecone, ChromaDB, SQL, Power BI, Streamlit, FastAPI, Docker, GitHub Actions, Vercel, and modern MLOps workflows.
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
End-to-end projects showing modeling, deployable demos and business impact.
Forecasted short-term generation for two solar plants using Prophet & LSTM. Improved scheduling accuracy and reduced reserve costs.
Built an explainable churn model for a telco client; SHAP-driven interventions led to an estimated 12–15% churn reduction in simulation.
Interactive dashboards to analyze patient outcomes and operational KPIs. Reduced report generation time and improved capacity planning.
Association rule mining for retail to design targeted cross-sell bundles, increasing average basket value.
Developed Power BI dashboards for finance teams to monitor KPIs and perform variance analysis for leadership decisions.
End-to-end agent architecture combining retrieval + analysis + summarization to automate literature reviews.
Practical, outcome-driven data science & analytics services you can hire me for.
End-to-end ETL, data quality checks, and feature pipelines to prepare data for reliable modeling.
Supervised models, time-series forecasting, model validation, and interpretability (SHAP).
Executive dashboards in Power BI & interactive prototypes in Streamlit for stakeholder-driven insights.
Build retrieval-augmented workflows to answer domain documents and build knowledge assistants.
Design experiments, hypothesis testing, regressions and reproducible reports for academic & industry research.
Automate data workflows using n8n, Airflow/Prefect patterns and simple integrations for faster insights.
Short, practical guides and case studies I publish to help teams adopt ML responsibly.
How generative models can assist clinicians while preserving privacy and accuracy.
Practical patterns to connect automation with LLMs for repeatable business processes.
Short-term forecasting and anomaly detection for plant operations.
Balancing innovation with responsible data use to protect patient and business privacy in AI workflows.
Deploying real-time AI analytics to improve decision-making in healthcare, logistics, and energy systems.
Best practices for taking machine learning solutions from prototypes to production at scale.
AI-driven personalized learning systems and their impact on global education systems.
Making AI models more energy-efficient and environmentally friendly for the future.
Integrating AI with IoT to build smarter, safer, and more efficient urban environments.
Have a project, collaboration, or question? Send a quick message and I’ll reply within 48 hours.
Email: agentbuilder10@gmail.com
Location: Haryana, India
Open to freelance projects, contract work, and collaborations (remote worldwide).