Aakarsh Gupta

Dynamic Systems Engineer with a proven track record at Tata Consultancy Services, excelling in SQL database management and data analysis. Adept at leveraging Python for innovative solutions and fostering collaboration through mentoring workshops. Passionate about enhancing operational efficiency and driving impactful projects in data visualization and machine learning.

• TECH-A-THON 3.0 by i-NEURON winner, out of 600+ teams and 2,000+ participants, our team Else/If, led by me, won the first prize along with a 2 lakh cash prize
• Designed and simulated a microstrip patch antenna operating at 3.6 GHz using HFSS software for wireless communication applications, and conducted performance analysis, including return loss, gain, and bandwidth optimization The research findings were compiled and published in the RASSAI 2.0 Journal, highlighting innovation in compact and efficient antenna design for modern wireless systems
• Smart India Hackathon (SIH) 2023 finalist

• Python Programming – Udemy
• Microsoft SQL Server 2019 – LinkedIn Learning
• E0 Competency in Microsoft SQL Server 2019

• Database administration using MSSQL on Oracle Database – performed real-time database creation, deletion, and maintenance on practice servers Managed user roles, permissions, and security settings. Configured and monitored scheduled jobs for backups and performance optimization. Conducted database cloning, migration, and patching to ensure system stability. Executed query tuning and indexing strategies for faster data retrieval, and monitored performance metrics to maintain high availability.
• Microstrip patch antenna (3.6 GHz) – designed and simulated a microstrip patch antenna using HFSS for wireless communication applications Conducted performance analysis on return loss, gain, and bandwidth optimization. Published research in RASSAI 2.0 Journal, showcasing advancements in compact and efficient antenna design.
• Tabular Data Extraction from Scanned Images – Developed a system integrating OCR, deep learning (for table detection), and generative AI for table summarization, enabling accurate extraction from unstructured documents.