BrainWaveHub
BrainWaveHub
A collection of projects that reflect what I’m learning, testing, and building as I grow in the world.
A collection of projects that reflect what I’m learning, testing, and building as I grow in the world.
Before diving into projects, I laid my foundation with the Google Digital Marketing & E-commerce Certificate. This program deepened my understanding of the digital space and equipped me with the tools to put learning into practice.
Used Google Analytics to explore how user visits and purchases changed in the Google Merchandise Store during three major Google events in 2025. Found that the Build with Gemini summit led to a 65.5% spike in purchases. Identified missed conversion opportunities during GDC and Google Cloud Next. Suggested next steps included checking for technical issues and running A/B tests to improve conversion rates.
The link below provides a deeper look into the analysis behind each case study. It includes detailed traffic and purchase metrics, anomalies, and actionable recommendations.
Conducted a detailed competitor analysis as part of market research for launching a hypothetical shop. Compared the product features, pricing, policies, and marketing strategies of three eco-friendly brands. Findings helped shape product offerings, branding, and customer service plans for a more competitive market entry.
The above link takes you through the full competitor analysis, which could play a key role in shaping the product lineup, pricing, and customer experience.
Academic Research Project | Civil Engineering – MNIT Jaipur
The study examined drought conditions across Rajasthan using a comprehensive approach that integrates meteorological data and remote sensing techniques. It evaluates three key drought indicators—SPI (Standardized Precipitation Index), NDVI (Normalized Difference Vegetation Index), and SMAI (Soil Moisture Anomaly Index)—and uses the Analytical Hierarchy Process (AHP) to assign relative weights. The outcome is an Integrated Drought Index (IDI) that enables more accurate spatial and temporal mapping of drought-prone areas.
📌 Key Findings
SPI emerged as the most effective drought indicator according to AHP, balancing robustness, clarity, and practical relevance.
NDVI and soil moisture levels have shown improvement across Rajasthan from 2001 to 2023, notably in arid districts like Jaisalmer.
The IDI revealed heightened drought impacts between August and October, showing a time-lag between rainfall, soil moisture changes, and vegetation response.
A comparison between 2001 and 2023 indicated increased rainfall, but persistent spatial and seasonal drought risks in certain regions.
A multi-indicator approach offers more reliable and nuanced results than relying on individual indices.
Conclusion
Integrating SPI, NDVI, and SMAI through AHP provides a more comprehensive assessment of drought vulnerability. This method supports improved drought preparedness by identifying high-risk zones and informing strategies for crop management, water conservation, and policy planning. Future research should incorporate finer-scale local data and strengthen collaboration with regional stakeholders.