Looking for a job

kaif Ahmed Siddiqui

@kaifahmedsiddiqui

Data Science graduate who built a Python hate-speech classifier at Personify, reaching 87% accuracy on tweet moderation.

India

Message

At Personify, I built a Python pipeline to flag hate speech in tweets, from text cleaning and feature engineering through classification and precision/recall evaluation. The model achieved 87% accuracy and 72% precision on hate-speech content.

At The Developers Arena, I worked with real-world datasets on exploratory analysis, machine learning models, and a dashboard. In personal projects, I built a New York real estate price prediction model and used Python and SQL to explore bank customer data and identify high-risk segments.

Experience

Work history, roles, and key accomplishments

Data Science Intern

The Developers Arena

Nov 2025 - Feb 2026 (3 months)

Performed exploratory data analysis, built machine learning models, and developed prediction models for practical business problems. Collaborated to deploy a dashboard translating model outputs into insights.

Python SQL EDA data preprocessing Feature Engineering Model Training Model Evaluation Dashboard Deployment

Data Science Intern

Personify

May 2025 - Jul 2025 (2 months)

Built an end-to-end Python pipeline for hate speech detection on a 100,000+ tweet dataset, achieving 87% accuracy and 72% precision. Delivered a reliable first-pass moderation filter.

Python NLP Text Processing Feature Extraction Classification Precision Recall Analysis