VAIBHAV KUMAR SIRIGADA
Luton,Central Bedfordshire
Summary
MSc Artificial Intelligence and Robotics student with expertise in Python, SQL, and Java, skilled in data visualization using Matplotlib, Seaborn, and Tableau. Proven project management abilities with effective timeline tracking and cross-team coordination. Proficient in Microsoft Excel and Google Sheets for advanced reporting. Familiar with agile workflows and eager to leverage technical skills for data-driven decision-making in dynamic organizations.
Overview
1
1
year of professional experience
1
1
Certification
Work history
Packaged App Developer Associate
Accenture
Hyderabad, Telangana
2024.10 - 2025.08
- Assisted in application development tasks on Merck project at Accenture.
- Supported data integration activities for project workflows.
- Developed SQL queries for data extraction and reporting purposes.
- Maintained ETL workflows using Informatica PowerCenter.
- Performed data validation and cleansing processes to ensure accuracy.
- Helped troubleshoot data issues for consistency across systems.
- Documented technical processes and workflows for project clarity.
Education
Master of Science - Artificial Intelligence and Robotics with Sandwich Placement
University of Hertfordshire
Hatfield 2025.09 -
Bachelor's of Technology - CSE-Artificial Intelligence and Machine Learning
Malla Reddy University
India 2020.09 - 2024.06
Skills
- Languages: Python( Pandas, NumPy, SciPy, Matplotlib), SQL( PostgreSQL, MySQL), Java(basic), CSS
- Reporting and Productivity: Microsoft Excel(Pivot Tables, VLOOKUP, HLOOKUP, Conditional Formatting), Google Sheets, Google workspace, PowerPoint
- Data Visualization: Matplotlib, Seaborn, Excel Charts, Tableau
- Project Management: Timeline Tracking, cross team coordination, Work Documentation
- Tools: Informatica Power Center, Git, GitHub, VS code, Jupiter Notebook, Google Colab
- Agile workflow understanding
- Adapting to new technologies
Languages
English
Fluent
Hindi
Fluent
Telugu
Native
Certification
- AWS Academy Graduate-AWS Academy Cloud Foundations
AWS Training and Certification 2023 - Cisco Networking Academy - Introduction to Cyber Security
CISCO 2023 - Deep Learning Course
NPTEL 2023 - SQL and Relational Databases 101
IBM 2021
PROJECTS
Under Water Image Enhancement Using Machine Learning Techniques
February 2024 - June 2024
- Developed a Machine learning model which enhance the quality of image captured in under water environment by Dehazing and colour correction techniques using ULAP ( Under water light attenuation prior).
- Atmospheric light estimation, Transmission map estimation and Scene radiance calculation are estimated using BLEstimation function, getRGBtrasmissionEST function and Scene radiance RGB function. Calculated the prints quality using metrics including
PSNR (Peak Signal-to-Noise Ratio), MSE (Mean Squared Error), and SSIM (Structural Similarity Index), to evaluate the quality of the enhanced.
Phishing URL Detection Using Machine Learning Techniques
August 2023 - January 2023
- Developed a Machine Learning Model using different algorithms like Decision Tree Classifier, Random Forest Classifier UsingMalicious Phish Dataset from Kaggle.
- All the classifiers gave promising results with the best being Random Forest Classifier with an accuracy score of 96.8%
- This model detects the input URL is fraud or not.
Timeline
Master of Science - Artificial Intelligence and Robotics with Sandwich Placement
University of Hertfordshire
2025.09 -
Packaged App Developer Associate
Accenture
2024.10 - 2025.08
Bachelor's of Technology - CSE-Artificial Intelligence and Machine Learning
Malla Reddy University
2020.09 - 2024.06