Gangadhar Satya Varma Datla
Senior Consultant
Degree
Master of science in Computer Science
University
Central Michigan University
Department
Master's in Information Systems (MIS)
Location
Naperville, Illinois
Github
Professional Insight
As a dedicated Data Analyst with experience in leveraging data to drive impactful insights, I have a demonstrated track record of working on various projects that improve public health and organizational effectiveness. Currently, I am contributing to the Hoosier Community Network, analyzing Emergency Medical Service (EMS) data for Indiana to identify trends and optimize resource allocation. My expertise includes data collection, cleaning, and visualization, with skills in Python, SQL, Tableau, and Power BI. I excel in creating actionable insights through advanced analytical techniques, ensuring data accuracy and accessibility, and delivering user-friendly dashboards to support decision-making. With a strong foundation in data analytics and a passion for improving systems, I am committed to transforming raw data into meaningful outcomes.
Hoosier Community Network: Projects and Key Skills
Throughout my career and at Hoosier Community Network (HCN), I’ve worked on impactful projects showcasing my expertise in data analysis and visualization. Currently, I analyze EMS data for Indiana using Python, SQL, Tableau, and Power BI to identify trends in emergency calls and optimize resource allocation. Previously, I contributed to a library health project, collecting data from sources like CDC and WHO, cleaning and integrating it using Python, SQL, Snowflake, and AWS Glue, and visualizing insights in Tableau. I also worked on healthcare analytics, focusing on dialysis outcomes, using machine learning in Python and big data tools like Apache Spark and Hive. My skills span data processing, predictive modeling, cloud platforms like AWS/GCP, and creating dashboards that transform data into actionable insights, driving impactful decisions.
Skills
I possess strong skills in data analysis, visualization, and big data technologies. Proficient in Python, R, SQL, and tools like Tableau and Power BI, I excel at extracting insights from complex datasets. My expertise includes data cleaning, predictive modeling, and statistical analysis. I have hands-on experience with cloud platforms like AWS and GCP, data warehousing using Snowflake, and big data tools such as Apache Spark and Hive. Additionally, I am skilled in creating efficient ETL pipelines, utilizing Apache Airflow, and delivering actionable dashboards for decision-making.