AI for Data & Analytics: Start-to-Finish

AI for Data & Analytics: Start-to-Finish

Offered by Kamal D.

Build practical AI data solutions from idea to production

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Studied at Michigan Technological University

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Worked at NRG Energy

Package Description:

Work 1:1 with an expert for a comprehensive coaching engagement covering the full spectrum of AI in data and analytics, from foundational skills through advanced applications and career growth. Possible uses of coaching sessions, but not limited to: - AI fundamentals and AI-powered data analysis - Predictive analytics and AI model development - Data pipeline automation and data engineering with AI - Natural language querying and self-service analytics - Dashboard creation and automated reporting - Data strategy and AI readiness for organizations


What you'll get from this package

A comprehensive skill upgrade across AI applications in data and analytics

Stronger analytical capabilities through AI-powered modeling and automation

A personalized development plan covering your highest-priority growth areas

The skills to position yourself as an AI-forward leader in your data organization


Additional details

Coaching delivered via live sessions and .

Refund Policy

Services included:

Freelancing

AI Fundamentals

AI Automation

Predictive Analytics

Data Pipeline Automation

Natural Language Querying

Reporting & Insights

Data Cleaning & Prep

AI Model Evaluation

Data Visualization

Dashboard Creation

Data Strategy


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Kamal D.

Offered by Kamal D.

Joined June 2026

Build practical AI data solutions from idea to production

I bring a strong combination of data science, analytics, and Generative AI experience, with a background in computational physics and several years of industry experience building practical AI solutions. My work has included designing and implementing end-to-end GenAI solutions at scale, including AI-powered analytics systems, agentic RAG solutions, call-center intelligence platforms, and natural-language interfaces that help business users extract insights from large structured and unstructured datasets. I have worked across the full lifecycle: identifying the right business problem, building prototypes, preparing and structuring data, designing retrieval and analytics pipelines, integrating LLMs with enterprise data platforms, evaluating model outputs, and moving solutions into production. I can help customers understand not only the concepts behind AI, RAG, agents, and analytics automation, but also how to apply them responsibly and effectively to real-world business use cases.

Experience level: Manager

Starting at $711

10h+ of coaching

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