Preamkumar Ravichandran

• Analyzed large datasets from various sources including SQL databases, web APIs and flat files.
• Coached junior analysts on best practices for developing reliable analytics solutions.
• Optimized query performance for large scale analytic queries running on distributed computing clusters.
• Created dashboards in Power BI to track key performance indicators.
• Evaluated new technologies that could be used to enhance the organization's analytics capabilities.
• Collaborated with stakeholders to identify areas of improvement by leveraging existing data assets.

• Developed and maintained predictive models to identify customer segments for targeted marketing campaigns.
• Developed machine learning algorithms to predict customer churn rates.
• Analyzed data from various sources to generate insights into customer behavior and segmentation.
• Designed models, algorithms and visualizations to distill insights from huge volumes of data.
• Recommended data analysis tools to address business issues.
• Created graphs and charts detailing data analysis results.

• Implementing data mining and statistical machine learning solutions to various business problems, such as demand forecasting, upsell, and cross-sell strategies.
• Built a recommendation engine for the mobile application with upsell and cross-sell strategies.
• Scraping and handling a large amount of unstructured text data. Extracted the data using Hadoop-Flume for sentiment analysis and customer retention.
• Performed text analytics techniques, sentiment analysis, and SNA on the text data.
• Built recommendation engine in mobile application with upsell and cross-sell strategies.

• I worked here as a software engineer and as an ETL developer in Business Intelligence and Data Warehousing background.

Responsibilities / Activities performed in project:

• Creating various dashboards using Tableau for corresponding requirements.
• Integrated some data’s given to me and visualized as an bar chart.
• Developed various visualization charts as cost per clicks, cost per actions etc. Designed a report to display the bottom five customers dynamically by using sets.