Shalini Vadlamani
Arnhem,GE
Summary
Enthusiastic Data Engineer with a strong background in data management, cloud platforms, and data visualization. Skilled in Python, Azure Cloud, and PowerBI with proven experience in developing data products and managing data pipelines. Adept at requirement gathering, data analysis, and collaborating with cross-functional teams to drive the energy transition.
Overview
5
5
years of professional experience
Work History
Research and Development Intern
Bauwatch Technologies
02.2023 - 05.2023
- Researched and developed techniques to assess dataset quality focusing on completeness and balance in various operational scenarios.
- Utilized Python and TensorFlow to create algorithms ensuring data quality and balance for machine learning models.
- Implemented modern data warehousing techniques and performed data cleaning and parsing.
- Migrated data to Azure Cloud and developed ingestion processes for efficient data handling.
Human Pose Estimation Using Rasberry Pi 4
University of Twente
02.2023 - 04.2023
- Developed an AI program assessing human posture using a CNN model on Raspberry Pi 4.
- Implemented preprocessing and postprocessing with OpenCV and multithreading to improve performance.
- Built data pipelines to streamline data ingestion and processing for real-time analytics.
- Used Python and TensorFlow for model development and data analysis.
Summer Intern
Verzeo
05.2020 - 07.2020
- Developed an IoT-controlled smart home system for data control and transfer between devices.
- Implemented machine learning algorithms and used Python to enhance smart home automation and data communication.
- Collaborated with cross-functional teams in an Agile/Scrum environment to gather and clarify requirements.
Summer Intern
Electronics Corporation of India Limited
05.2019 - 06.2019
- Created a home automation system using a GSM module to control appliances through mobile GPS.
- Integrated machine learning models to improve automation efficiency and reliability.
- Designed and implemented data pipelines and performed day-to-day management of data products.
- Documented system architecture and migration processes to Azure Cloud.
Thesis
University of Twente
07.2023 - 07.2024
- Conducted advanced research on human gesture recognition using Model-Agnostic Meta-Learning and Wi-Fi Channel State Information.
- Achieved near-perfect accuracy in diverse real-world scenarios, showcasing expertise in unsupervised learning, data analysis, and AI model optimization.
- Utilized Azure Cloud services for data storage and processing.
Education
Master of Science - Embedded Systems
University of Twente
Enschede, Netherlands07.2024
Bachelor of Science - Electronics And Communication
Gandhi Institute of Technology And Management
Visakhapatnam, India05.2021
Skills
- Data Engineering: Modern Data Warehousing, Data Pipelines, Azure Cloud (Databricks / MS Fabric), Kimball (conform dimensions and facts)
- Programming: Python, C, C, VHDL, Java
- Tools & Technologies: MS DevOps, PowerBI, TensorFlow, MATLAB, Git, Linux
- Methodologies: Agile, Scrum, DevOps
- Other: Data Visualization, Cloud Computing (AWS, Docker, Kubernetes), Data Science, Big Data
Professional Organisations
IEEE CORE MEMBER
IEEE Student Branch, GITAM Deemed to be University, Visakhapatnam, India
June 2018 – May 2020
- Led two technical initiatives and organized two national technical events.
Timeline
Thesis
University of Twente
07.2023 - 07.2024
Research and Development Intern
Bauwatch Technologies
02.2023 - 05.2023
Human Pose Estimation Using Rasberry Pi 4
University of Twente
02.2023 - 04.2023
Summer Intern
Verzeo
05.2020 - 07.2020
Summer Intern
Electronics Corporation of India Limited
05.2019 - 06.2019
Master of Science - Embedded Systems
University of Twente
Bachelor of Science - Electronics And Communication
Gandhi Institute of Technology And Management
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