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Data Science with 1+ years in SQL & Python
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B.E. Computer Science graduate (2026) with 1.5+ years of hands-on experience in SQL, Python, and Power BI — building dashboards, processing large datasets, and delivering actionable business insights. Built a live travel-tech product integrating Google APIs with real-time data pipelines. Skilled in data profiling, A/B testing, ETL pipelines, demand forecasting, and stakeholder reporting. Strong communicator with end-to-end project ownership.
Chandigarh University, Punjab
B.E. in Computer Science · Computer Science
August 1, 2022 – June 1, 2026
DAV Police Public School, Haryana
10+2 Science · Science
April 1, 2019 – March 1, 2021
Craftherbbs
Data Analyst — E-commerce & Customer Analytics
January 1, 2024 – August 1, 2025
India
Stay Chainiq - Live Travel Intelligence Product
June 1, 2026 – Present
• Built and deployed a live travel-tech product integrating Google Trends, Geolocation, and Maps APIs to surface real-time destination demand signals and supply gaps for travel platforms. • Designed MySQL database schema and Node JS backend pipelines for automated multi-source data ingestion, scoring, and API-driven dashboard refresh. • Developed data-driven destination scoring model combining search trends, geographic data, and seasonal demand — packaged as actionable B2B intelligence; in active outreach to travel companies across India.
View ProjectBharat Beyond Boundaries - India Tourism BI Report
June 1, 2026 – Present
• Analysed 2021-2022 Ministry of Tourism data (17,310 lakh domestic + 85.87 lakh foreign visitors); surfaced 155% domestic and 715% foreign tourism growth with state-level breakdowns via Power BI. • Built multi-tier segmentation model (Tier 1/2/3 cities) to identify under-penetrated markets; quantified 180% ROI potential from 5% digital adoption increase — projecting Rs.250-300 crore additional revenue. • Designed funnel-based analytics framework with gap analysis across Booking.com, Agoda, and Expedia; delivered executive-ready dashboards with festival-seasonality overlays and regional growth forecasts.
Uttarakhand Tourism Intelligence - Demand & Growth Analytics
June 1, 2026 – Present
• Processed 2021-2024 UTDB data covering 193.2 million tourist arrivals; modelled 239.28% foreign growth trend and projected domestic arrivals to 54.5 million by 2026 using CAGR estimation. • Integrated Google Trends API to validate organic demand signals — identified 6 breakout keywords (Char Dham, Auli, Yoga Retreat, etc.) as leading indicators of future booking conversions. • Built YoY segment growth models across spiritual, wellness, adventure, and wedding categories; delivered a full strategic report with ROI projections and platform expansion recommendations.
Data Analytics Job Simulation
Deloitte Australia (Forage)
June 1, 2026 – Present
Parkinson's Disease Detection via K-Nearest Neighbors
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's diverse project portfolio, including personal projects and a research publication, indicates a strong drive for learning and applying data science concepts. Their experience in both e-commerce and travel analytics suggests adaptability and a broad interest in different business domains, which aligns well with a dynamic work environment. The focus on delivering actionable B2B intelligence and ROI projections shows a business-oriented mindset.
Soft Skills & Operational Fit
The candidate demonstrates strong project ownership and the ability to communicate analytical outputs to stakeholders. Their experience in capturing business requirements and coordinating with product managers suggests good operational fit and collaboration skills. The detailed project descriptions indicate a proactive approach to problem-solving and delivering actionable intelligence.