VaibhavChavan

Vikhroli, India (Hybrid)

• Delivered executive analytics for the Network Analytics team, reporting to the COO of Solutions through Power BI dashboards, advanced Excel analysis, PowerPoint decks, and weekly/monthly summaries supporting data-driven decisions; leveraged LLMs and prompt engineering to enhance reporting workflows.
• Maintained and analyzed large-scale BI data across 160 datasets, 6TB of data, 30+ dashboards, and datasets containing up to 2B rows, supporting APAC intercompany reporting and reliable business analytics.
• Automated recurring reports and email distribution using Python, advanced Excel, Power BI, Git, and internal workflows, improving reporting consistency and reducing manual effort.
• Supported Finance and Income Tax teams by automating related-party transaction reporting across approximately $500M in transaction value, saving an estimated 3–4 months of employee effort and improving reporting efficiency.
• Developed AI-enabled and multi-agent workflow solutions using LLM tools, prompt engineering, and Python to streamline report preparation, analytical summaries, documentation, and internal business processes.
• Prepared analytical summaries, KPI callouts, and business recommendations for stakeholder meetings and recurring reports, translating customer-network and operational data into actionable insights and decision-support recommendations.

Virtual

• Selected among 3,000+ applicants across India for Amazon’s highly selective Machine Learning Summer School.
• Completed industry-led training in Supervised Learning, Deep Learning, Reinforcement Learning, Generative AI, LLMs and Unsupervised Learning, strengthening applied ML and analytical problem-solving skills.

Juhu, India

• Built a VR walkthrough with 50+ assets, blending forest design, 3D modeling, and optimization for scalable deployment.
• Boosted performance by 40% using occlusion culling, batching, mesh/LOD optimization, and texture compression; configured builds with Unity URP and Vulkan for Oculus Quest.
• Recognized as the institution’s sole VR developer, representing the college at SIH and delivering the demo ahead of the Ram Mandir inauguration, showcasing precision, timeliness, and innovation.

Remote

• Engineered and fine-tuned image classification models using Scikit-learn (Python) on a 3,000+ image multi-class dataset, applying AI/ML techniques like tokenization and hyperparameter tuning for over 98% accuracy.
• Programmed a voice-controlled image capture tool in Python, cutting data collection time by 60%.

Navi Mumbai, India

• Worked with IoT projects including Raspberry Pi, automated cars, and sensor-based smart doors.
• Explored 3D printing and industrial IoT applications during the Grok Internship.