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Jaswanthchandu/README.md

Hi there 👋

Jaswanth Srinivas Chandu Meesala

Data Analyst | Business Intelligence | Healthcare Analytics | SQL • Power BI • Python

I'm a Data Analyst with 3+ years of experience delivering data-driven solutions using SQL, Python, Power BI, Snowflake, and Excel. My experience includes healthcare analytics, emergency department patient flow, claims processing, member enrollment, KPI reporting, dashboard development, and data validation. I enjoy transforming complex data into actionable insights that support business and operational decision-making.

Core Expertise

  • Healthcare Analytics
  • SQL Development
  • Power BI Dashboard Development
  • Python Data Analysis
  • Data Validation & Quality Assurance
  • KPI Development & Reporting
  • Business Intelligence
  • Stakeholder Collaboration

Tech Stack:

Languages: SQL • Python

Business Intelligence: Power BI • Tableau • Excel

Databases: Snowflake • SQL Server

Cloud & Data Engineering: AWS • dbt • Airflow

Professional Experience

HCA Healthcare | Data Analyst

  • Developed Power BI dashboards for Emergency Department Patient Flow and Bed Utilization.
  • Built KPIs including patient waiting time, boarding duration, occupancy, and discharge trends to support hospital operations.
  • Performed SQL- and Python-based data validation.
  • Collaborated with business stakeholders to support operational reporting.

Mphasis | Data Analyst

  • Developed SQL queries and Power BI dashboards supporting healthcare claims processing and member enrollment reporting..
  • Supported data validation, KPI reporting, and production issue resolution.

Featured Projects

NYC Motor Vehicle Collision Visual Analytics Interactive Tableau dashboards analyzing 2.2M+ collision records — time-series trends and geographic patterns. Tableau · Data Visualization

US Mental Health Trends Dashboard Dashboard built on 300K+ CDC records, deployed on Render. Python · Dash · Data Visualization — Live demo

Predictive Analysis on Housing Market Dynamics ML model predicting how new construction affects median house prices. XGBoost (R² = 0.86), SHAP feature-importance analysis, and an interactive Streamlit dashboard. Python · XGBoost · Streamlit

Education

MS in Information Systems + Certificate of Advanced Study in Data Science — Syracuse University

Connect

Pinned Loading

  1. Motor-Vehicle-Collision-Visual-Analytics-Dashboard Motor-Vehicle-Collision-Visual-Analytics-Dashboard Public

    Tableau dashboards analyzing 2.2M+ NYC motor vehicle collision records.

  2. mental_health_trends mental_health_trends Public

    Interactive dashboard on 300K+ CDC mental-health records, deployed on Render.

    Jupyter Notebook

  3. Predictive-Analysis-on-Housing-Market-Dynamics Predictive-Analysis-on-Housing-Market-Dynamics Public

    ML model predicting how new construction affects housing prices, XGBoost (R² 0.86), SHAP analysis, Streamlit dashboard.

    Python

  4. Energy-Demand-Analysis-and-Prediction Energy-Demand-Analysis-and-Prediction Public

    Forecasting residential summer electricity demand, XGBoost and a +5°C climate scenario analysis.

  5. NYC-Housing-Market-Analysis NYC-Housing-Market-Analysis Public

    Statistical analysis of NYC housing prices; ANOVA and regression explaining ~63% of price variation across boroughs.

    Jupyter Notebook