Open to opportunities

Iqra Shaikh

@iqrashaikh2

Aspiring Data Analyst and Data Scientist building predictive models and agentic AI applications to deliver real-world impact.

India

Message

What I'm looking for

I’m looking for Data Analyst and Data Scientist roles where I can contribute from day one—building predictive models, using data to uncover insights, and shipping real-world, impact-driven AI work in a collaborative team.

I’m a B.Sc. Data Science & Artificial Intelligence graduate (2026) with hands-on experience across the full data lifecycle—from cleaning and exploring data to building predictive models and deploying end-to-end AI applications.

As an AI Intern (IBM SkillsBuild Program) at CSRBOX®, I designed and deployed a production-ready agentic AI application end-to-end, integrating a real-world Kaggle carbon emissions dataset and shipping a full-stack agentic AI web app using Gemini LLM API, Flask, and Supabase (live on HuggingFace Spaces).

Previously, as a Data Analyst Intern at Excelerate, I strengthened churn prediction to ~85% on an 8,500+ row student dataset by engineering behavioral features and training Logistic Regression and Random Forest models with Scikit-learn, while driving end-to-end EDA with Pandas, Matplotlib, and Seaborn to deliver actionable insights.

Experience

Work history, roles, and key accomplishments

AI Intern

CSRBOX®

Dec 2025 - Jan 2026 (1 month)

Designed and deployed a production-ready agentic AI application end-to-end, from data integration to live deployment. Built ClimateSense with four AI modules using the Gemini LLM API, and integrated a Kaggle carbon emissions dataset to power a dynamic footprint calculator.

Python SQL Generative AI Flask Supabase Agentic AI

Data Analyst Intern

Excelerate

May 2025 - Jun 2025 (1 month)

Boosted churn prediction accuracy to ~85% on 8,500+ row student dataset by engineering behavioral features and training Logistic Regression and Random Forest models using Scikit-learn.

Conducted end-to-end EDA using Pandas, Matplotlib, and Seaborn, uncovering key engagement drop-off patterns and presenting actionable insights to the internship panel.

Machine Learning SQL scikit learn Python Logistic Regression Random Forest Pandas Matplotlib SeaBorn

Data Science Intern

Prodigy InfoTech

Apr 2024 - May 2024 (1 month)

Completed a virtual internship focused on core data science fundamentals data cleaning, exploratory data analysis, and visualization using Python (Pandas, Matplotlib).

Analyzed real datasets to uncover distributions and relationships, producing visual outputs including bar charts and histograms. This internship laid the foundation for the hands-on ML and AI work that followed.

Python Pandas Matplotlib Data Cleaning Data Visualization