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Data Analyst with less than a year in Python, SQL, and Power BI.
Aspiring Data Analyst with a strong foundation in Python, SQL, Microsoft Excel, and Power BI. Passionate about transforming raw data into meaningful insights through data cleaning, exploratory data analysis, and interactive dashboard development. Completed hands-on projects involving real-world datasets and an internship reinforcing end-to-end data workflows. Eager to contribute analytical thinking, problem-solving skills, and a keen eye for detail to a data-driven organization.
University College of Engineering
B.Tech · Information Technology
August 1, 2022 – June 30, 2026
John Dewey Matriculation Hr. Sec. School
Higher Secondary Certificate (HSC)
June 1, 2021 – May 31, 2022
Government Model Girls Hr. Sec. School
Secondary School Certificate (SSC)
June 1, 2019 – May 31, 2020
RKSInfotech
Full Stack Development Intern
July 1, 2024 – August 31, 2024
India
Netflix Content Analysis Dashboard – Power BI
January 1, 2026 – June 1, 2026
Designed a 5-page interactive Power BI report analyzing 8806 Netflix titles; performed Power Query data cleaning, built a star-schema model with DateTable and netflix_genres table linked via One-to-Many relationships. Developed 6 DAX measures (Total Titles, Total Movies, Total TV Shows, % Movies, Avg Movie Duration, Titles Added YoY) using CALCULATE, FILTER, DIVIDE, AVERAGEX, VAR, ISERROR, and ISBLANK functions. Built a Netflix-branded dark-theme UI with bookmarks, cross-filtering, synced slicers, and page navigation; key insight: USA leads with 35% of content and Netflix grew 12x between 2014 and 2019.
CrisisSenseAPI – AI-Based Crisis Tweet Analytics Platform for Disaster Resource Prediction
January 1, 2026 – June 1, 2026
Analyzed social media disaster tweets using AI to identify affected areas, predict resource needs, and send automated alerts for faster disaster response. Used BERT for crisis/urgency classification, DBSCAN for disaster hotspot identification, and a Graph Neural Network for regional resource demand prediction. System automatically generates real-time alerts and dashboard updates to enable data-driven disaster relief coordination.
Aura Cafe POS System – Python OOP
January 1, 2026 – June 1, 2026
Built a fully functional command-line Point-of-Sale system in Python using OOP principles (classes: MenuItem, CartItem, Cart, Cafe) supporting dine-in and parcel orders across 15 tables with real-time table occupancy tracking. Implemented GST calculation (5% food, 18% beverages), auto discount engine (up to 15% based on order value), order status tracker (Pending → Preparing → Served/Packed → Paid), and file-based JSON persistence for daily sales records. Designed a dual-role system with a customer ordering interface and a password-protected owner panel featuring daily sales summary, discount analytics, and order history reports.
Student Performance Analysis
January 1, 2026 – June 1, 2026
Analyzed 500+ student records using Python (Pandas, Seaborn) to identify key academic performance factors; handled missing values, encoded categorical variables, and removed outliers. Visualized correlations between attendance, study hours, and grades; produced a written summary with actionable recommendations.
Python for Data Analysis
IBM Skills Network
June 1, 2026 – Present
Google Cloud Engineering
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, ranging from Power BI dashboards to AI-based crisis analytics and a Python POS system, indicates a broad interest in technology and a willingness to explore different domains. The target role of 'Data Analyst' aligns well with the core skills and projects. The inclusion of a full-stack internship, while not directly data analysis, shows versatility and an understanding of broader software development, which can be beneficial for cross-functional collaboration. However, the experience level is 0, indicating a fresh graduate, which might require more mentorship in a senior role.
Soft Skills & Operational Fit
The candidate's resume highlights 'Analytical Thinking, Problem Solving, Communication, Collaboration' as soft skills. Project descriptions demonstrate problem-solving through data analysis and system design. The internship experience suggests an ability to work within a development team and contribute to operational workflows.