Advait Tandel

AI & Data Scientist with experience in industrial analytics, predictive maintenance, banking audit analytics, and machine learning solutions. Skilled in developing end-to-end ETL pipelines, anomaly detection systems, KPI dashboards, and forecasting models using Python, SQL, Power BI, and machine learning frameworks. Experienced in transforming operational and business data into scalable analytics solutions that improve equipment reliability, process efficiency, energy optimization, and business decision-making across manufacturing and financial domains.

Process Engineer at AIS (2024-08 – 2026-05)

• Analysed real-time furnace sensor data including O₂%, CO (ppm), temperature, and process parameters to identify operational anomalies and improve process reliability, reducing unplanned downtime by 20%.
• Built ETL workflows and automated KPI dashboards for production, utilities, and dispatch operations, improving operational visibility and reducing manual reporting effort by 35%.
• Integrated and validated real-time PLC/SCADA process data to support predictive maintenance analytics, equipment monitoring, and manufacturing performance optimization.
• Collaborated with maintenance and operations teams to implement predictive analytics and root cause analysis solutions, improving equipment runtime, operational efficiency, and asset reliability by 40%.

Data Scientist at Newton aI (2025-12 – 2026-05)

Internship

• Developed NLP-based text classification models using TF-IDF, Logistic Regression, and LSTM architectures to improve automated text analysis and prediction accuracy.
• Deployed interactive AI applications using Gradio for real-time text classification, model inference, and user-driven analytics.
• Performed advanced text preprocessing, feature engineering, and natural language processing using NLTK, spaCy, TensorFlow, and Python-based ML pipelines.
• Built and optimized image classification and regression models to support data-driven insights and intelligent decision-making workflows.

Data Scientist at Certus infotech (2024-03 – 2024-08)

• Built scalable end-to-end ETL pipelines using Medallion Architecture for banking audit and CIBIL datasets.
• Processed and validated 6–8 GB of daily CSV and JSON data for audit, compliance, and risk analytics.
• Applied schema validation, deduplication, and data quality checks to improve data reliability and governance.
• Developed Gold-layer analytics datasets to support regulatory reporting, credit risk analysis, and business intelligence reporting.

Master's Degree in Data Science & AI – Boston Institute of Analytics (2024 – 2025)

Bachelor's Degree in Chemical Engineering – Bharati Vidyapeeth College of Engineering (2021 – 2024)