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Data Science with 1+ years in Python, SQL & Power BI
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Data Scientist with 1.6+ years of experience working with Python, SQL, and Power BI (PL-300 Certified). I have built automated data pipelines, interactive dashboards, and analytics solutions for airport retail, parking, and premium service businesses. Experienced in cleaning and analysing large datasets, automating manual processes, and creating insights that help business teams make better decisions. Also worked on NLP-based customer feedback analysis and GenAI-powered analytics solutions.
St. Xavier's College
M.Sc. · Big Data Analytics
June 1, 2022 – July 1, 2024
Arena Animation
Certificate · Motion Graphic Design
October 1, 2021 – May 1, 2022
Anaya Institute of Science
B.Sc. · Mathematics
June 1, 2018 – September 1, 2021
Voice Back Analytics
Data Scientist
December 1, 2024 – May 1, 2026
Ahmedabad, Gujarat, India
Analytics LIV Digital
Data Science Intern
January 1, 2024 – May 1, 2024
Ahmedabad, Gujarat, India
GenAI-Dynamic Promotion Analytics Chatbot
June 23, 2026 – Present
• Developed a GenAI-powered chatbot using OpenAI API that enables business users to query promotion performance, redemption rates, and customer engagement metrics using natural language. • Integrated DPE Scan data from SQL Server and Sales/Promotion data from Databricks to analyse scan-to-redemption conversion and promotion effectiveness. • Implemented a Natural Language-to-SQL workflow where user questions are converted into SQL queries, executed on databases, and summarized into business-friendly insights through an interactive Streamlit interface.
Pranaam Service Analytics, NLP Insights & Reporting Automation
June 23, 2026 – Present
• Built a Python automation tool to clean, transform, and merge data from multiple sources, reducing manual processing time by over 90%. • Designed Power BI dashboards to track key business metrics including revenue, online vs. offline transactions, hourly trends, ATV, SPP, and year-over-year performance. • Applied NLP techniques such as sentiment analysis and keyword extraction on customer feedback data to identify customer satisfaction trends and common service issues, with insights visualized in Power BI dashboards.
Airport Parking Operations & Revenue Analytics
June 23, 2026 – Present
• Developed Power BI dashboards to monitor parking revenue, transaction volumes, occupancy levels, and capacity utilisation across multiple airports. • Created KPIs for revenue, tickets, parking duration, hourly trends, and day-wise performance to support operational decision-making. • Identified peak parking periods and utilisation patterns, helping teams optimize capacity planning and resource allocation.
Python for Data Science & AI Development
IBM
June 1, 2026 – Present
Microsoft Certified: Power BI Data Analyst Associate
Microsoft
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project experience spans various domains (airport operations, promotion analytics, customer service), indicating a broad interest and adaptability. The use of modern tools like OpenAI API and Streamlit, alongside traditional BI tools, suggests a willingness to learn and integrate new technologies. The academic background in Mathematics and Big Data Analytics, combined with practical experience, shows a strong foundation for a data-driven culture.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to collaborate with stakeholders and translate business requirements into data solutions. The focus on automating manual processes and improving reporting efficiency suggests a proactive and problem-solving approach. The diverse project portfolio demonstrates adaptability to different business contexts.