Maansi Tomer

Aspiring AI & Data Science Professional skilled in predictive analytics, AI automation, backend development, and workforce optimization, with hands-on experience building scalable enterprise AI and automation solutions using Python, FastAPI, Docker, BigQuery, and Generative AI tools.

Data Science-Trainee - DataNeurons - Bangalore

(2026-01)

• Worked on 4 enterprise-level AI and automation products at Dataneurons focused on workforce optimization, Jira automation, and AI-powered engineering workflows.
• Developed 10+ scalable backend APIs and automation pipelines using Python, FastAPI, BigQuery, Docker, and containerized deployment environments.
• Built workforce forecasting and Monte Carlo-based simulation models to analyze 1000+ operational scenarios for SLA optimization, demand prediction, and workforce planning.
• Automated Jira export and AI-powered PR review workflows using Microsoft Copilot Studio, Power Automate, Agent Flows, GitHub APIs, and SharePoint integration, improving engineering workflow efficiency and reducing manual effort.
• Conducted R&D on a Hybrid Workforce Optimization Engine to improve forecasting accuracy beyond traditional Monte Carlo models and authored technical blogs/documentation for product and research initiatives.

Master of Science - Data Science - Christ University, Bangalore (2024 - 2026)

Bachelor of Science - Physics - Madras Christian College (2021 - 2024)

12th - Kendriya Vidyalaya No. 2 Tambaram (2021)