K Priyadarshini

About

Data Analyst with hands-on experience in Python, SQL, Power BI, Tableau, and Excel. Skilled in data analysis, visualization, dashboard development, and business intelligence, with a focus on delivering data-driven insights.

Education

• 2027 MI
  Bachelor of Engineering

  Moodlakatte Institute of Technology, Kundapura

  Computer Science & Engineering – Data Science · Sep 2023 – Sep 2027

  Computer Science & Engineering – Data Science · Sep 2023 – Sep 2027

Skills

Languages

Projects

• Real-Time Streaming Analytics Pipeline with Anomaly Detection
  Python, Kafka, Streamlit, SQLite, Docker

  Built a real-time streaming analytics pipeline using Python and Apache Kafka. Computed rolling KPIs, applied ADWIN anomaly detection, optimized for low-latency processing, and stored aggregated metrics in SQLite.

• Automated Sales Performance Dashboard with Anomaly Detection
  Python, Streamlit, SQLite, Plotly

  Built an automated Python pipeline to calculate daily sales KPIs and store results in SQLite. Implemented anomaly detection using IQR and Z-score, developed an interactive Streamlit dashboard, and automated email alerts for abnormal performance.

• SQL-Based Funnel Analysis and Drop-off Investigation
  SQL, PostgreSQL, Python, Tableau

  Analyzed customer conversion funnel using advanced SQL queries and window functions. Identified major drop-off points by device, acquisition channel, and geography, calculated conversion rates, and developed interactive funnel visualizations.

• End-to-End Customer Churn Analysis with Segmentation
  Python, SQL, Power BI, Scikit-learn

  Cleaned and transformed telecom customer data using Python (Pandas) for data cleaning, preprocessing, and EDA. Performed RFM customer segmentation, built Logistic Regression and Decision Tree models to predict churn, and designed an interactive Power BI dashboard.

🏆 Achievements & awards

• Udemy data analyst,data science, machine learning · 2026

🎯 Hobbies & interests

• Dance
• singing
• reading books