Mihir Kakadiya
Data @Jiten Management | Data Science Analytics | Machine Learning | Prediction & Forecasting
- Role
- Data Scientist at Jiten Hotel Management
- Location
- Brookline, MA, US
- LinkedIn followers
- 500 followers
About Mihir Kakadiya
I’m a data-driven problem solver with a passion for turning complex data into clear, actionable strategies that accelerate business growth. With a Master of Science in Data Analytics Engineering from Northeastern University and over 4 years of experience translating complex data into actionable business insights. I specialize in large-scale data analysis, scalable data pipeline development, machine learning model engineering, and impactful dashboard creation to support strategic decision-making.
Experience
Data Scientist
Jul 2024 — Present · MA, US
Led weekly forecast with VP on WoW success, conducted granular analyses with cross-functional teams to identify business challenges and uncovering root causes using historical data, making sure the team is aligned for reaching quarterly targets• Developed an LLM-powered Q&A chatbot using Google PaLM integrated with LangChain’s SQL Database Chain and few-shot learning to convert natural language questions into accurate SQL queries • Empowered general managers to directly access insights on occupancy, revenue, operations without analyst support, leading to a 40% reduction in Jira tickets for data analysts and faster decision-making• Developed machine learning models such as Prophet and regressions with techniques like cross validation, regularization, and bias-variance trade-off to uncover seasonality, forecast occupancy, ADR, and RevPAR, boosting forecasting accuracy by 15%• Implemented centralized starflake model-based data warehouse using AWS Redshift, loaded data from PMS, POS, and third-party booking platforms to Redshift, which improved cross-property data accessibility and data availability by 25%• Optimized advanced SQL queries and engineered ETL data pipeline using AWS for automation, data transformation and multidimensional analysis, reducing processing time by 20%• Executed A/B testing to assess overbooking thresholds and rate strategies, analyzed historical no-show and cancellation data to justify safe increase in the overbooking buffer, improving booking efficiency by 18% and reducing customer churn ratio by 10%• Designed interactive Tableau dashboards for executives and general managers, establish real-time updates, analyze market trends, monitor business performance and customer segmentation to boost sales
Education
P P SAVANI UNIVERSITY
Bachelor's degree
2018 — 2022
Northeastern University
Master of Science - MS
2022 — 2024
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