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Ayush Pandey

@ayushpandey6

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Data analyst and machine learning engineer building scalable ML and RAG systems.

India

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What I'm looking for

I seek roles where I can build and productionize ML models and RAG systems, collaborate cross-functionally, and drive measurable business impact while growing in ML infrastructure and applied research.

I am a Data Analyst and Machine Learning Engineer with three years of industry experience focused on predictive modeling, classification, and building scalable ML pipelines.

I have designed and optimized SQL and Hive queries, built ETL pipelines in Python, and implemented models with Scikit-Learn, TensorFlow, and PyTorch to deliver measurable business impact.

My work has produced outcomes such as a 90% test accuracy delinquency classifier, a 20% increase in customer acquisition via offer analysis and dashboards, and a 15% reduction in data errors through improved ETL processes.

I also develop RAG architectures and agentic AI ecosystems, contribute to end-to-end productionization using MLflow and Docker, and enjoy applying applied research from projects like sleep-stage and seizure classification to real-world products.

Experience

Work history, roles, and key accomplishments

Data Analyst

Tata Consultancy Services

Dec 2021 - May 2025 (3 years 5 months)

Designed SQL and HiveQL queries and built classification models that achieved 90% test accuracy to identify delinquent customers; drove a 20% increase in customer acquisition via Power BI dashboards and improved operational efficiency by 25% through optimized ETL and MS SQL Server queries.

Oracle SQL Python ETL Power BI Machine Learning MS SQL Server

Algorithm Developer & Data Science Intern

India Healthcare Technology Innovation Center, IIT Madras

Jul 2021 - Oct 2021 (3 months)

Developed mathematical and ECG-based classification models achieving 87% test accuracy, contributed to feature development that increased app revenue by 10%, and informed product redesign through biometric analysis.

Python ECG RNN Model Evaluation Signal Processing Data Analysis Research

Education

Degrees, certifications, and relevant coursework

Veer Surendra Sai University of Technology

Bachelor of Technology, Chemical Engineering

2017 - 2021

Grade: 7.67 CGPA

Activities and societies: Participated in university research and competitions; certifications include Computational Thinking using Python (MITx), Machine Learning (Stanford Online), and Combinatorics and Probability (UC San Diego).

Completed a Bachelor of Technology in Chemical Engineering with a 7.67 CGPA and first-class distinction, focusing on engineering principles and applied projects.