KANAKANTI HEMANTH KUMAR REDDY
Professional Summary
Data Analyst with 0 years of experience specializing in Excel, SQL, Python, and Power BI. Skilled in data cleaning, validation, automation, and dashboarding to deliver accurate business reporting and actionable insights. Experienced in end-to-end data workflows, visualization, and applying statistical methods such as PCA and time-series analysis to support data-driven decisions.
Technical Skills
Work Experience
- Analyzed employee attendance datasets in Excel to identify patterns and trends, consolidating multiple attendance sources into a clean reporting table for HR stakeholders.
- Built interactive Power BI reports to visualize attendance trends and attrition drivers, enabling HR to identify high-risk groups and seasonal patterns.
- Performed attrition analysis using Power BI and Excel, segmenting workforce by tenure and department to surface actionable retention opportunities.
- Conducted SWOT analysis combining quantitative HR findings and qualitative research to inform recommendations shared with senior HR and team leads.
- Automated repetitive Excel tasks with structured templates and formulas to improve report turnaround time and reduce manual errors in monthly dashboards.
- Prepared presentations summarizing analytical findings and presented insights to cross-functional teams, improving visibility of workforce metrics for decision making.
- Collected and ingested real-time cyber threat data via APIs using Python, implementing retrieval and scheduling workflows to maintain up-to-date datasets.
- Developed Python-based data cleaning and preprocessing pipelines (missing-value handling, normalization) to ensure high-quality input for visualization and AI modules.
- Extracted and transformed structured threat data with SQL queries to produce analysis-ready tables for dashboard metrics and trend analysis.
- Integrated AI-driven insights into the visualization pipeline to highlight anomalous events and threat patterns for SOC-style monitoring use cases.
- Contributed UI/UX improvements to the dashboard to simplify interpretation of complex threat indicators and enhance user navigation for analysts.
- Followed Agile practices within the project team, participating in sprint planning, demos, and iterative feedback cycles to deliver a scalable interactive dashboard.
Projects
- Developed end-to-end data pipelines to collect, clean, and aggregate cyber threat feeds for near-real-time visualization.
- Automated data processing workflows with Python and SQL to reduce manual preparation and support continuous dashboard refreshes.
- Implemented backend components using Node.js to enable dynamic data handling and deliver timely metrics to the frontend visualization.
- Designed dashboard UI/UX and visualizations to present threat severity, frequency, and source trends for analyst consumption.
- Constructed a Digital Payment Volume Index (DPI) using Principal Component Analysis to measure adoption trends across multiple indicators.
- Performed time-series econometric analysis (ARDL, cointegration, causality tests) to evaluate relationships between digital payments and GDP.
- Automated data processing and statistical workflows with Python and Excel to improve reproducibility and analysis accuracy.
- Created an interactive Power BI dashboard to visualize macroeconomic trends, correlations, and model results for stakeholders.
Education
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