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Ekta Shukla

@ektashukla

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Data scientist specializing in ML, time-series forecasting, and cloud analytics for energy solutions.

United States

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What I'm looking for

I'm seeking a mid-level data science role building production ML pipelines and time-series models for energy/sustainability, collaborating cross-functionally in an impact-driven, growth-oriented company with strong engineering and data practices.

I am a data scientist with 2+ years of experience building end-to-end ML pipelines, deploying models, and integrating outcomes into business systems using Python, SQL, and AWS. I specialize in time-series forecasting and cloud-based analytics with a focus on energy and sustainability solutions.

I have delivered production outcomes—an 82% F1 churn model, automated payroll forecasting that improved compliance by 100%, and BI work that cut stockouts 20% and boosted regional sales 10%—and I enjoy turning data into actionable business impact. I seek collaborative teams where I can scale ML systems and drive measurable improvements.

Experience

Work history, roles, and key accomplishments

Current

Data Science Intern

Current

Ghost Social AI

May 2025 - Present (4 months)

Prototyped GraphRAG pipelines to enhance memory-augmented question answering for voice-first systems and explored agent architectures to enable autonomous information retrieval and scalable AI-native search capabilities.

Python NLP Retrieval Augmented Generation (RAG)Machine Learning Data Pipelines Prototyping Git

Data Science Intern

Pure Platform

Jan 2025 - Apr 2025 (3 months)

Built and deployed a churn prediction and customer retention forecasting model achieving 82% F1-score, used SMOTE to address class imbalance for 5,400+ at-risk users, and delivered real-time dashboards and APIs (Flask, Streamlit, Power BI) to integrate model outputs into business workflows.

Python SQL SMOTE Flask Streamlit Power BI API Development Machine Learning

Education

Degrees, certifications, and relevant coursework

Illinois Institute of Technology

Master of Applied Science, Data Science

Grade: 3.7

Master of Applied Science in Data Science candidate at Illinois Institute of Technology with a 3.7 GPA, expected December 2025. Coursework includes Big Data Technologies, Data Preparation and Analysis, Applied Statistics, Regression, Statistical Learning, Business Statistics, Project Management, Public Engagement for Scientists, and Database Organization.