
Kanhaiya kumar
Sales
About Kanhaiya kumar:
"As a passionate and detail-oriented data analytics graduate, I bring a fresh perspective grounded in statistical analysis, data visualization, and predictive modeling techniques. Proficient in Python, SQL, and Power bi, I excel at transforming complex datasets into actionable insights through exploratory data analysis and machine learning fundamentals. My academic projects demonstrate strong capabilities in data cleaning, trend identification, and dashboard creation, while my collaborative approach ensures alignment between technical findings and business objectives. Eager to apply my quantitative skills in extracting meaningful patterns from large datasets, I'm committed to continuous learning in this rapidly evolving field and excited to contribute to data-driven decision-making processes."
Experience
As a recent graduate , I bring a strong foundation in statistical analysis, Python, SQL, and Power bi, with hands-on experience in transforming raw data into actionable insights through academic projects. My expertise includes data cleaning, visualization dashboards, and predictive modeling techniques. I excel at identifying trends and patterns, demonstrated through projects involving exploratory data analysis and machine learning applications. A detail-oriented problem-solver with a collaborative mindset, I'm eager to apply my technical skills to support data-driven decision-making while continuously expanding my knowledge in this dynamic field.
Education
Bachelor of Arts in Political Science | [Delhi university] | [2025]
- Analytical Foundation: Developed strong critical thinking and research skills through coursework in policy analysis, political statistics, and quantitative research methods
- Data Interpretation: Applied statistical analysis to interpret voting patterns, demographic data, and public opinion surveys using Excel
- Technical Upskilling: Completed specialized training in Python, SQL, and Tableau through certifications in technomind institute with focus on data cleaning and visualization
- Research Methodology: Designed and executed data-driven research projects including survey analysis and trend forecasting
- Domain Knowledge: Leveraged political science background to understand organizational decision-making frameworks and stakeholder dynamics
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