NENE DANTE

Highly motivated Master Of Science (M.S.) In Data Analytics Candidate with knowledge in data warehousing, process validation and business needs analysis. Proven to understand customer requirements and translate into actionable project plans. To seek and maintain full-time position that offers professional challenges utilizing excellent technical aptitude and knowledge of programming languages, data analytics and data visualization.

• Business Plan - Information Technology Management Capstone: Webxie Tech Support LLP

Aggregated overall Business Plan for a startup online Technical Support company. Set executive summary, company objectives, performed market and SWOT analysis and effectively used the marketing 4 Ps (Product, Price, Place and Promotion to generate sales plan for business. Performed financial statement analysis and forecasting balance sheets based on business product pricing, liabilities and sales. Successful Business planning proven by: First year forecasted retained earnings: $58,560, allowing startup company to expand exponentially in coming years by hiring more employees and providing additional services. Forecasted total liability amount: $3410, no loans needed by company in incoming years. Setting business to operate 100% online allowed little to no business cost on utilities and divers account payables. With more assets and less liabilities, start up business launch plan has been validated and showed excellent abilities in business Management, company goals setting and forecasting analysis to thrive in the tech industry.

• Data exploration, cleaning, analysis and reduction using Python:

Manipulated over 20,000 records using Jupyter Notebook to reduce, organize and adjust data to make reading or interpreting insights from the data more structured and comprises of having better design. Calculated PCA to represent a multivariate data table as smaller set of variables (summary indices) in order to observe trends, jumps, clusters and outlier. Reduction allowed informed and predictive decisions to be made by prospect company based on the data. 

• Business Intelligence and Analytics- SAS Enterprise Miner:

Preprocessed data to examine chemical properties influencing Gatorade energy drink quality in Gatorade dataset. Implemented predictive models to forecast the quality ranking of the energy drink using SAS.

• AT&T 2024 Technology Academy Member
• Phi Theta Kappa Honor society Member
• The National Society of Leadership and Success Member (NSLS)