Data Science with 1+ years in EDA, Predictive Modeling & Dashboard Development
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Data Analyst with hands-on experience across the full analytics lifecycle — data collection, cleaning, EDA, predictive modeling, and dashboard development. Skilled in Python, SQL, Excel, Tableau, Power BI, and Google Data Studio, with a track record of translating complex datasets into insights that have improved forecasting accuracy, team productivity, and revenue outcomes for cross-functional stakeholders.
Silicon Institute of Technology
Master of Computer Application
N/A – June 30, 2023
Ravenshaw University
B.Sc. · Information Science & Telecommunication
N/A – June 30, 2021
Excelerate
Data Analyst Associate Intern
August 1, 2024 – February 1, 2025
Dubai, Dubai, United Arab Emirates
Analytics Space LLP
Data Analyst Intern
February 1, 2024 – August 1, 2024
Bengaluru, Karnataka, India
Meta Ad Performance Analysis
June 18, 2026 – Present
• Built a Meta Ads performance dashboard tracking the full funnel - 216K impressions, 25.4K clicks (11.76% CTR), and a 13.56% engagement rate down to 1.3K purchases (5.21% conversion rate) - surfacing a major drop-off between engagement and purchase. • Analyzed audience, geographic, and timing data to recommend reallocating budget toward video/story formats, peak afternoon-evening hours, and high-value markets (Germany, UK) alongside high-volume markets (India, Brazil).
Insurance Risk & Claims Analysis
June 18, 2026 – Present
• Built a Power BI dashboard analyzing car insurance policyholder demographics, vehicle attributes, and claims history to support risk profiling and premium optimization. • Segmented customers by age, coverage zone, and vehicle usage type, and analyzed claim amount and claim frequency to flag high-risk segments and potential fraud patterns.
Optimizing Hospitality: Data-Driven Insights into India's Hotel Economy
June 18, 2026 – Present
• Analyzed key hotel performance metrics - revenue, occupancy, and customer satisfaction - across India using cleaned, multi-source data, and built interactive Tableau and Python dashboards for real-time stakeholder access. • Developed predictive models to forecast occupancy rates and optimize pricing strategies, supporting improved revenue management for hotel chains.
Mapping the Educational Landscape: Engineering Colleges in India
June 18, 2026 – Present
• Built a web scraping pipeline with BeautifulSoup to collect and clean data from public sources into an analysis-ready dataset using Python and Excel. • Conducted EDA and built interactive Tableau dashboards to surface trends in college rankings, demographics, academic performance, and graduate outcomes.
Advanced Certification in Data Analytics with AI
Texas Tech University
June 1, 2026 – Present
Certification in Data Analytics
EXcellenC, Hyderabad
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project portfolio is diverse, covering hospitality, education, marketing, and insurance, which indicates adaptability and a broad interest in applying data science across different domains. The internships, though short-term, show engagement in real-world business problems. The target role of 'Data Science' aligns well with the candidate's stated skills and project experience in predictive modeling and advanced analytics. However, the experience level (1) is low for a senior role, and the certifications are future-dated, which might impact immediate cultural fit for a senior position requiring extensive practical experience.
Soft Skills & Operational Fit
The candidate demonstrates an ability to work with stakeholders to design dashboards and present data-driven insights, indicating good collaboration and communication skills. Their project descriptions suggest a problem-solving approach to data analysis, identifying trends and recommending solutions. The internship experiences show a capacity for contributing to team productivity and business growth.