Daksh Mandawat

Generative AI Engineer and Data Analyst with 1+ years of experience building full-stack AI applications. Automates manual reporting workflows using Python, SQL, and REST APIs, reducing processing time by 45%. Deploys end-to-end solutions with LLaMA-3.3-70b, Java, and React to drive measurable operational efficiency.

Generative AI Intern at Campus Pe (2026-02 – 2026-05)

• Automated manual technical-documentation and data-extraction workflows by designing Python scripts with Antigravity and Claude, reducing manual effort by ~60% and saving 10+ hours per week.
• Refined and iterated Generative AI prompts using NLP techniques to automate documentation workflows, cutting manual drafting time by over 50%.
• Restructured 5+ raw technical datasets into clean, relational schemas for SQL-based analysis, eliminating a recurring manual bottleneck for the reporting team.
• Developed recurring Python automation scripts to auto-generate reports and visualizations, improving reporting turnaround time by ~40%.

Data Analytics Intern at JYESTA Corporate Entity (2025-07 – 2025-09)

• Analyzed multi-thousand-row datasets (5,000+ rows) using SQL, Excel, and Power BI to support engineering business units across 4+ teams.
• Owned the end-to-end reporting workflow — mapped the manual process, then designed SQL and Power BI tooling to replace it, cutting turnaround time by 45%.
• Delivered interactive KPI dashboards adopted by 4+ teams to track turnaround time and operational metrics in real time.
• Maintained 99%+ data integrity across technical reports by embedding automated cleaning and validation checks directly into the workflow.

B.E. in Computer Science (AI & ML), Computer Science (AI & ML) – CMR Institute of Technology (2022 – 2026)

Class 12, CBSE in PCM – St. Anthony’s Senior Secondary School