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Neil Maurya

@neilmaurya

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I build machine learning pipelines for forecasting, anomaly detection, and AI products.

India

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What I'm looking for

I'm looking to build and deploy practical AI and machine learning solutions, applying deep learning, forecasting, NLP, and anomaly detection to real-world problems while continuing to grow with cutting-edge technologies.

I've built AI and machine learning products including InsightLearnAI, where I developed a TF-IDF and Logistic Regression feedback-scoring model and integrated it into a FastAPI backend with Whisper transcription and LLM-based summarization.

At CipherByte Technologies, I built a Python-based car sales prediction system that improved forecast accuracy by 20%, processing 50k+ records with Pandas and NumPy and creating Tableau dashboards for predictive insights. I've also built a credit card fraud anomaly detection system achieving 98% AUC and a real-time Flask stock analysis dashboard using ARIMA forecasting.

My work spans Python, TensorFlow, Scikit-learn, FastAPI, Flask, SQL, and data visualization, with a focus on taking models from preprocessing and feature engineering through deployment.

Experience

Work history, roles, and key accomplishments

Software Engineer Intern

ARE InfoTech

Jun 2025 - Jul 2025 (1 month)

Optimized and debugged web applications, improving performance and user experience. Developed frontend components using HTML, CSS, and JavaScript with responsive design practices.

HTML CSS JavaScript PHP MySQL

Data Science Intern

CipherByte Technologies

Jun 2024 - Aug 2024 (2 months)

Built a Machine Learning-based Car Sales Prediction System using Python, improving forecast accuracy by 20%. Performed data preprocessing and feature engineering on 50k+ records using Pandas and NumPy.

Python Pandas NumPy ARIMA Tableau