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Data Analyst with 1+ years in Data Analysis & Visualization
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Saniya Samreen N is an aspiring Data Analyst with 1.5 years of experience as a Data Analysis Intern. She possesses strong skills in Python, SQL, Pandas, NumPy, Matplotlib, Seaborn, and Power BI. Her project experience includes analyzing datasets from Zomato, optimizing website performance, conducting market research using Google Trends, and developing sales dashboards, demonstrating her ability to extract actionable insights and create impactful visualizations for data-driven decision making.
Bengaluru North University
Bachelor of Computer Applications
August 1, 2021 – June 30, 2025
Ant Skill Versatility
Data Analysis Intern
January 1, 2025 – Present
India
Zomato Restaurant Analysis
January 1, 2025 – December 31, 2025
• Performed exploratory data analysis on Zomato dataset to derive insights on restaurant ratings, cuisines, and customer preferences • Cleaned and processed raw data using Pandas and NumPy, ensuring data quality and consistency for accurate analysis • Visualized key patterns with Matplotlib and Seaborn, identifying critical factors affecting ratings and restaurant popularity
Website Performance Analysis
January 1, 2025 – December 31, 2025
• Analyzed website performance metrics including sessions, engaged sessions, and average engagement across device categories • Conducted exploratory data analysis to uncover trends across traffic sources, regions, and user behavior patterns • Created comprehensive visualizations using line charts, bar graphs, and correlation plots to highlight performance gaps
Google Trends Analysis for Market Research
January 1, 2025 – December 31, 2025
• Analyzed global search trends for "Data Analyst" across 50+ countries using PyTrends, identifying emerging markets • Created interactive world maps and time-series visualizations with Plotly for geographic and temporal market insights
Mobile Phone Sales Dashboard
January 1, 2025 – December 31, 2025
• Built interactive Power BI dashboard with drill-down capabilities analyzing sales across brands, models, and regions • Designed DAX measures for KPIs; identified top products and underperforming areas for inventory optimization
Vrinda Store Sales Analysis
January 1, 2025 – December 31, 2025
• Analyzed sales data using advanced Excel functions including VLOOKUP, INDEX-MATCH, and Pivot Tables across geography and demographics • Created executive dashboard with Pivot Charts identifying seasonal patterns and top segments for inventory and marketing planning
Python for Data Science Certification
Unknown
June 1, 2026 – Present
Python Programming Course
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, covering sales, restaurant, website, and market trend analysis, indicates a broad interest in applying data analysis across various domains. The proactive pursuit of certifications and an internship while still in university demonstrates initiative and a strong work ethic, aligning well with a culture that values continuous learning and practical application. The focus on data-driven solutions and stakeholder communication suggests a results-oriented mindset.
Soft Skills & Operational Fit
The candidate demonstrates strong learning agility and adaptability, as evidenced by rapidly adapting to new tools and technologies during their internship. Collaboration with cross-functional teams is also highlighted, indicating a team-oriented approach. The project descriptions are clear and concise, suggesting good communication skills in a technical context.