Data Analyst with less than a year in data visualization and analytics tools.
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Results-driven Data Analyst with proven experience in analyzing 500K+ records and creating interactive dashboards through Power BI, Tableau, Python, and SQL. Skilled in performing exploratory data analysis, ETL processes, and creating actionable insights through data. Eager to apply analytical skills to real-world business problems in a collaborative, data-driven organization.
Malla Reddy Engineering College for Women
B.Tech · Computer Science & Engineering
August 1, 2021 – June 30, 2025
Deloitte Australia via Forage
Data Analytics Virtual Experience Program
December 1, 2025 – Present
India
TATA via Forage
Data Visualization & Analytics Virtual Experience Program
December 1, 2025 – Present
India
COVID-19 and Vaccination Analysis
June 30, 2026 – Present
Created a Power BI dashboard to visualize COVID-19 spread and vaccination progress using real-world public datasets. Executed data cleaning and preparation in Power Query, including date conversion, missing value handling. Developed DAX measures to calculate total cases, recoveries, deaths, active cases, and recovery percentage. Created interactive visualizations and slicers enabling trend analysis across date, state, country, and WHO region. Extracted data-driven insights on pandemic waves, state-wise impact differences, and global vaccination gaps.
View ProjectCUSTOMER SHOPPING BEHAVIOR ANALYSIS
June 30, 2026 – Present
Conducted exploratory data analysis across 3,900+ customer records to uncover purchasing patterns, revenue drivers, and segmentation opportunities spanning 6 product categories. Wrote 10+ complex SQL queries leveraging CTEs, window functions, and aggregations to evaluate discount impact and shipping preferences, identifying 2,500+ high-value unsubscribed customers. Created interactive Power BI dashboard with KPI cards, bar charts, donut charts, and slicers using DAX measures, enabling for real-time filtering to perform real-time data analysis and visualization. Performed data cleaning, data wrangling, and data transformation to enhance analytical accuracy and model performance.
Python for Data Science, AI Development
COURSERA
June 1, 2026 – Present
Data Analytics Core Fundamentals (30 Days)
Novi Tech R&D Private Limited
August 1, 2025 – September 1, 2025
Cultural Fit Analysis
The candidate's academic projects and virtual internships showcase a strong interest in data analysis across various domains (COVID-19, customer behavior, manufacturing telemetry, retail transactions). This diversity indicates adaptability and a willingness to tackle different types of data challenges. The focus on creating actionable insights and presenting recommendations aligns well with a collaborative, data-driven organizational culture. However, as an entry-level candidate, their direct experience in a full-time corporate setting is limited, which might require some cultural acclimatization.
Soft Skills & Operational Fit
The candidate demonstrates a results-driven approach and an eagerness to apply analytical skills to real-world business problems. Their participation in virtual experience programs indicates a proactive attitude towards gaining practical exposure and collaborating in data-driven environments. The project descriptions highlight an ability to work with public datasets and derive insights, suggesting a foundational understanding of problem-solving in data analytics.