Bhavani L

DATA ANALYST | SQL • PYTHON • EXCEL • DATA QUALITY • REPORTING & VISUALIZATION

Talent

IndianapolisMember since October 2, 2026

Data ValidationEDAQuantitative AnalysisData VisualizationSQLPythonPandasNumPyPower BITableauMatplotlibStreamlitProblem-SolvingDocumentationPresentationAttention to Detail

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Data ValidationEDAQuantitative AnalysisData VisualizationSQL

About

Detail-oriented Data Analyst with hands-on internship and project experience in SQL, Python, Pandas, Excel, Power BI, and Tableau. Experienced in integrating and analyzing large structured datasets, validating data quality, performing exploratory and quantitative analysis, creating management-ready reports and dashboards, and translating findings into actionable recommendations. Analyzed 100K+ and 500K+ records, automated data extraction/reporting workflows, and maintained technical documentation for reproducible analysis.

Strong written and verbal communication, problem-solving, attention to detail, and ability to work independently in remote environments.

Experience

Data Science Intern - Take It Smart (OPC) Pvt. Ltd. - Remote

(2026-02 - 2026-05)

Analyzed and prepared 100K+ structured records using Pandas, NumPy, and Matplotlib, reducing data preprocessing and visualization turnaround time by 35%.
Performed data validation, exploratory analysis, and model evaluation; achieved 92% model accuracy while maintaining a structured analysis workflow.
Applied NLP and Generative AI techniques to streamline training, testing, and validation, increasing processing speed by 40% and output precision by 18%.
Created standardized technical documentation for data workflows, improving reproducible analysis efficiency by 25% and supporting clear communication of methods and findings.
Tools: Python, Pandas, NumPy, Matplotlib

Data Visualization Intern - Infosys Springboard Virtual Internship 6.0 - Remote

(2026-02 - 2026-04)

Integrated, cleaned, and analyzed 500K+ airline operations records using Python and Pandas to identify delay patterns, load trends, and operational findings.
Built 10+ interactive dashboards and visualizations in Tableau and Matplotlib for KPI tracking and recurring stakeholder reporting, reducing reporting overhead by 30%.
Performed EDA on operational metrics and communicated actionable recommendations that contributed to a 12% reduction in flight delays.
Tools: Python, Pandas, Tableau, Matplotlib