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Data Analyst with less than a year in Power BI & SQL
AI is analyzing your overall score…
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Assessing your cultural and operational fit
Motivated Computer Science undergraduate with hands-on experience in Power BI dashboards, SQL workflows, and machine learning models. Completed internship at Microsoft Elevate in collaboration with AICTE, delivering actionable insights through data visualization and reporting. Skilled in Python, SQL, and statistical analysis, with a strong foundation in building predictive models and optimizing data-driven solutions. Known for problem-solving ability, continuous learning, and eagerness to apply analytical and programming strengths to real-world challenges.
Government Degree College For Women, Begumpet
B.Sc.(Honours)Computer Science · Computer Science
August 1, 2023 – June 30, 2027
Microsoft Elevate in collaboration with AICTE
Data Analytics Intern (Virtual)
February 1, 2026 – March 31, 2026
India
EV vs Charging Station Analysis
January 1, 2026 – June 1, 2026
Analyzed EV adoption vs charging station growth across 5 states (2020–2024), cleaning datasets with zero missing/duplicate values. Highlighted infrastructure gaps (e.g., Gujarat >200 EVs per station, Delhi 5,550 stations) and visualized trends to support policy decisions.
Iris Flower Classification
January 1, 2026 – June 1, 2026
Built and deployed a RandomForest ML model achieving 100% accuracy on the Iris dataset (150 samples, 3 species). Created an interactive Streamlit app with sliders for real-time predictions, ensuring reproducibility with environment files.
D-Mart Sales Performance Dashboard
January 1, 2026 – June 1, 2026
Designed dashboard to track 6K units sold, 438K total sales, 37K profit, 8% margin across cities and categories. Identified key insights: Clothing drove 62% of units sold, COD dominated with 0.2M sales, and monthly profit declined from 10K in Jan to 5K in Mar.
AI Careers For Women
Unknown
June 1, 2026 – Present
Python for beginners
Unknown
June 1, 2026 – Present
SQL and Relational Databases 101
Unknown
June 1, 2026 – Present
Tata Data Visualization: Empowering Business with Effective Insights
Tata
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects cover diverse areas like sales performance, environmental analysis, and machine learning, indicating a broad interest in applying data analytics to various domains. The virtual internship with Microsoft Elevate and AICTE suggests an alignment with structured learning and industry collaboration. The certifications further highlight a commitment to skill development. This diversity and proactive learning align well with a culture that values continuous improvement and versatile problem-solving.
Soft Skills & Operational Fit
The candidate demonstrates problem-solving ability, continuous learning, and collaboration skills through project descriptions and listed soft skills. The academic projects and virtual internship suggest an ability to work independently and apply theoretical knowledge to practical scenarios. However, the limited professional experience means operational fit in a fast-paced corporate environment is yet to be fully proven.