Shreyash M.
Data Professional | Analytics • Engineering • Forecasting | Python • SQL • Cloud
- Role
- Revenue Systems Analyst at Days Inn Hotel & Suites
- Location
- Albany, NY, US
- LinkedIn followers
- 500 followers
About Shreyash M.
I am a data professional with experience spanning analytics, forecasting, and data engineering. My work sits at the intersection of business insight, statistical modeling, and scalable data systems.I have built:• End-to-end analytical workflows using SQL and Python• Time-series and regression models for forecasting and scenario analysis• ETL/ELT pipelines and structured data warehousing systems• Interactive dashboards translating complex datasets into executive-level insights• Data validation frameworks to ensure metric integrity and reproducibilityMy experience allows me to operate across multiple functions:• As a Data Analyst — I define KPIs, conduct structured analysis, and deliver decision-ready insights.• As a Data Scientist — I build predictive models, time-series forecasts, and probabilistic analyses.• As a Data Engineer — I design data pipelines, improve dataset architecture, and support scalable analytics systems.I am particularly interested in solving high-impact problems where quantitative rigor, structured data systems, and business decision-making intersect.Seeking long-term opportunities where I can contribute meaningfully to scalable data systems and organisational growth.Currently based in the United States and open to relocation for the right opportunity.
Experience
Revenue Systems Analyst
Jul 2025 — Present · Queensbury, NY, US
Partnered with operations and finance stakeholders to translate business questions into structured SQL analyses across 150K+ monthly records.• Defined and validated core performance KPIs, ensuring metric consistency across dashboards and reporting systems.• Developed regression and time-series models to analyze demand patterns and seasonal variability.• Designed data validation and reconciliation processes across CRS and PMS systems to ensure accuracy.• Collaborated on ETL workflows using Airflow and dbt to improve dataset structure and reduce manual preparation time.• Automated reporting workflows using Excel (Power Query, Pivot Tables), reducing reporting time by 90%.
Education
University at Albany
Master of Science - MS, Computer Science
Delhi Public School, Bhilai
High School Diploma, PCM+EG
2005 — 2019
Shri Shankaracharya Technical Campus
Bachelor of Technology - BTech, Computer Science and Engineering
2019 — 2023
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