Sowdeshwar Survesha Kumaar
Brisbane,Australia
Summary
An IT professional and Master’s student in Data Science at the University of Queensland (Expected Nov 2025) with a strong foundation in data analysis, machine learning, and cloud services. Experienced in debugging, database management, and automation, with hands-on expertise in SQL, Python, and data-driven problem-solving. Passionate about leveraging data to drive insights and optimize processes. Highly adaptable and eager to learn new methodologies, with a strong analytical mindset and a keen interest in data science, analytics, and machine learning. Seeking a graduate role where I can apply my technical skills and analytical thinking to solve real-world challenges.
Overview
2
2
years of professional experience
Work History
Senior Executive
Vodafone Intelligent Solutions
Pune, India
08.2021 - 07.2023
- Company Overview: Highlights: Debugging, Test Support, Team work, Database Management
- Monitored and optimized WebMethods environments, ensuring efficient data flow and integration between multiple applications
- Debugged and triaged complex data pipeline issues using Software AG Designer, analyzing system logs and business impact
- Performed code fixes and releases using Azure DevOps pipelines and Jenkins, contributing to automation and process optimization
- Worked with various adapters (EJB, JDBC, OFSC) and configured brokers/packages to enhance data connectivity across systems
- Automated scheduled reports using shell scripting, generating key business insights for management
- Conducted data-driven analysis on order flows in Oracle SQL databases, identifying patterns and anomalies to improve system performance
- Assisted in performance testing of large-scale UK telecom order flows (FTTH, FTTP, FTTC) integrated with external partners
- Monitored and debugged order processing flows, leveraging SQL queries and database analysis to resolve issues and optimize performance
- Highlights: Debugging, Test Support, Team work, Database Management
- Key Skills: Data Analysis & Debugging (SQL, Data Pipelines), Database Management (Oracle SQL, JDBC), Automation & Scripting (Shell Scripting, Azure DevOps, Jenkins), Integration & Data Flow Monitoring (WebMethods, Software AG, OpenReach APIs)
Research Intern
Ericsson
Chennai, India
01.2021 - 07.2021
- Company Overview: Highlights Built Vision-based Disease detection of plant leaves
- Developed a vision-based plant disease detection model using transfer learning, applying deep learning techniques for accurate classification
- Researched concept drift mechanisms to improve model adaptability and enhance real-time disease detection accuracy
- Conducted data preprocessing and feature engineering using image processing algorithms, optimizing model performance
- Integrated sensor data (humidity, temperature, and light) with predictive analytics to improve crop health monitoring
- Built an intelligent bot to analyze public sentiment on Twitter regarding crop diseases, leveraging NLP techniques
- Published a conference paper titled "Advanced Machine Learning Framework for Efficient Plant Disease Prediction"
- Highlights Built Vision-based Disease detection of plant leaves
Education
Master of Science - Data Science
University of Queensland
Brisbane, Australia11-2025
B.Tech. - Electronics and Communication
Vellore Institute of Technology
Chennai, India06.2021
Skills
- Python
- SQL
- R
- Shell script
- Java
- C
- Data Cleaning
- Statistical analysis
- Data visualization
- Regression
- Classification
- Clustering
- Model evaluation
- Model Drift
- PySpark
- Hadoop
- Power BI
- Tableau
- Excel
- Azure
- Google Cloud Platform
- Azure DevOps
- Jupyter Notebook
- VS Code
- Git
- JIRA
- Software AG Designer
- WebMethods
- Oracle SQL
- JDBC
- Problem Solving
- Analytical thinking
- Data storytelling
- Team Collaboration
Projects
- Smart glass with multi functionalities for visually impaired people, Python, Raspberry Pi zero W, 01/2021 - 06/2022, Built a Smart glass that can help the visually impaired read the text in front of the person and announce the objects and their positions.
- Pothole Detector Using CNN and Android Studio, Android, Java, Tensorflow Lite, Firebase, 05/2020 - 07/2020, Developed an android app that detects potholes and sends the location to a real-time database.
- Smart Parking System, PHP, MATLAB, HTML, CSS, JAVASCRIPT, 12/2019 - 03/2020, Implemented an online reservation-based smart parking system.
Languages
English
Full Professional
Tamil
Native/ Bilingual
Accomplishments
- I received the Emerging Star of the Year award at Vodafone Intelligent Solutions.
- I was awarded an internship by winning a Design-a-thon conducted by Ericsson.
- I worked as a volunteer in the NGO named 'Chitlapakkam Rising Team' for over three years, whose main motive was to save nature and revive water bodies in the nearby localities. We removed tons of plastic and other waste over two years from the lake bed, and participated in protests and silent marches in support of desilting the lake, which the government later approved and funded with about Rs 25 crores (approximately 5 million AUD).
References
References available upon request.
Timeline
Senior Executive
Vodafone Intelligent Solutions
08.2021 - 07.2023
Research Intern
Ericsson
01.2021 - 07.2021
Master of Science - Data Science
University of Queensland
B.Tech. - Electronics and Communication
Vellore Institute of Technology
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