Akshita Deo — Deputy Manager at Schneider Electric

Deputy Manager at Schneider Electric, working with AVEVA System Platform and EcoStruxure Automation Expert. B.E. in Electronics and Instrumentation from Dayananda Sagar College of Engineering (CGPA 8.7), with 1 yr 9 mos of experience across 3 organisations in industrial automation, machine learning and robotics. Co-author of a research paper published by Springer Nature.

Based in Bengaluru, Karnataka, India.

Currently Deputy Manager at Schneider Electric.

Experience

Deputy Manager, Schneider Electric (Aug 2026 – Present): AVEVA System Platform and EcoStruxure Automation Expert.
Graduate Engineering Trainee, Schneider Electric (Aug 2025 – Aug 2026)
Machine Learning Intern, Lakshya Institute of Technology (Oct 2023 – Dec 2023): Developed a Music Genre Classification project using K-Nearest Neighbors (KNN) and Neural Networks. Built a House Price Prediction model as part of the internship's project work. Gained hands-on experience in implementing machine learning algorithms and processing audio data for genre prediction.
Robotics Intern, Skolar (Jun 2022 – Aug 2022): Building and testing of robots.

Education

B.E. in Electronics and Instrumentation, Dayananda Sagar College of Engineering, 2021 – 2025, CGPA 8.7

Research

Integrated GSM, IoT and Generative AI Solutions for Enhancing Women's Safety — Springer Nature, Innovations and Applications of Next-Gen Communications (Lecture Notes in Electrical Engineering). DOI 10.1007/978-981-92-1243-9_35.

Projects

Guardian in the Bag: GSM and IoT based women's safety device with GPS tracking and panic alerts. Tech: ESP32, GPS (NEO-6M), GSM (SIM800A), IoT.
Health Monitoring of DC Motor: Digital Twin system that predicts and prevents DC motor failures. Tech: Digital Twin.
Anti-Sleep Alarm System: Detects drowsiness and alerts the user to help prevent accidents. Tech: Digital Twin.
House Price Prediction: Regression model for house prices built with NumPy and Pandas. Tech: Python, Machine Learning, NumPy, Pandas, Jupyter Notebook.
Music Genre Classification: Classifies music genres from audio using KNN and neural networks. Tech: Python, Machine Learning, KNN, Neural Networks, Jupyter Notebook.

Skills

Industrial Automation: AVEVA System Platform, EcoStruxure Automation Expert, PLC Programming, HMI, Automation
Languages: Python, C/C++, SQL
Data & Machine Learning: Machine Learning, Linear Regression, Data Analysis, Microsoft Power BI
Robotics: Robot Operating System (ROS), Robot Programming, Robot Framework, Robotic Process Automation (RPA)
Databases: PostgreSQL, MySQL, RDBMS
Platforms & Tools: ServiceNow, MATLAB, NI LabVIEW, Cadence, ModelSim, Keil uVision, Picosoft, VLab
Professional: Analytical Skills, Business Analysis