Aryaman Dev

Experience

• 

  ManipalBlog.com

  Jan 2020 - Jan 2022

  Content Writer
• 

  MITFL

  Oct 2020 - Jul 2022

  Social Media Marketing Specialist and Graphic Designing

  • Designed captivating graphics for club events, including a revamped look for the sports fest, boosting event engagement.• Utilized Google Analytics to analyze behavioral patterns and enhance community outreach for events and seminars.• Collaborated with team members to build a strong community presence and increase event attendance.

• 

  AIESEC in India

  Sept 2021 - Jun 2022

  Business Development Executive

  • Researched market trends and collaborated with marketing to create strategies, leading to increased revenue.• Managed donor database and communication, acquiring new donors and promoting seminars to students.• Analyzed market trends to identify new leads and develop strategies for business growth.

• 

  National University of Singapore

  Jun 2023 - Jun 2023

  • Developed a project on a Threat Detection system using ANNs and compared the results for the best model.• Performed visualization of the results for ease of understanding.• Developed custom APIs to share the app data.

  • NUS Singapore

    Jun 2023 - Jun 2023

  • NUS Singapore

    Jun 2023 - Jun 2023
• 

  Biocube Technologies

  Jul 2023 - Aug 2023

  Development and Technology using Machine Learning

  • Developed and implemented object detection Yolo v7 algorithm for real-time violence detection.• Utilized APIs to create user-friendly UI interfaces for seamless interaction.• Classified images and generated bounding boxes for ROI extraction.

• 

  SymphonyAI

  Jan 2024 - Jul 2024

  Data Scientist

  P&ID Ingestor Evaluation and Optimization: Evaluating Piping and Instrumentation Diagrams (P&ID) using computer vision models by identifying misclassifications and ensuring accurate tag and asset detection. This project required developing data cleaning methods and creating JSON files for error correction, which led to a significant reduction in errors and improved model accuracy.Anomaly Detection for Centrifuge and Urea Data: Implemented machine learning techniques such as PCA, KNN, and Autoencoders to perform anomaly detection on industrial data. Identifying bottlenecks in processes helped with the optimization of asset management.Time Series Analysis and Data Resampling: I conducted advanced time-series analysis for projects like Micro PZT Gain and Phase Trend and Laser Welding Copper Ring Improvement, focusing on extracting patterns and identifying anomalies. Collaboration across AI Platforms and Solutions: Collaborated with cross-functional teams to work on the various platforms to apply generative AI solutions to predict future trends and streamline workflows. This project enhanced process efficiency for clients in the energy and petrochemical sectors​. Show less