Aleron Eric Nunes Email & Phone Number

Phoenix, Arizona, United States

Berlin, Berlin, DE

• As the lead project owner and key stakeholder for First Contact Resolution (FCR), defined metrics, set requirements, conducted sample analyses, and aligned with stakeholders. Developed a Tableau dashboard for.
• Took charge of chatbot reporting and transformed it to monitor chatbot performance, created a new metric as a key performance indicator (KPI) to accurately gauge chatbot capabilities
• Proactively analyzed data and served as a strategic partner by providing recommendations and promptly addressing issues to mitigate their impact on KPIs. Identified areas for improvement in SOP’s and explored.
• Developed an ROI model for the team to implement a data-driven cost pricing strategy, which has been repurposed for other initiatives
• Empowered stakeholders to self-serve by providing education on creating views and using filters in Tableau and Power BI dashboards
• Participated in a hackathon and successfully developed a dashboard for tracking compensation strategies, while also mentoring a fellow employee during the process

Chicago, IL, US

• Analyzed IRI and retail data using proprietary analytics tools to identify market patterns and trends
• Enhanced shopper behavior insights by querying data with SQL to extract Basket Affinities & Penetration metrics
• Worked closely with Category Managers to identify drivers of sales, monitored and measured KPI’s for various products to assist with strategies.
• Analyzed location-based purchase trends to provide insights into consumer diets across the various stores.
• Spearheaded quality checks and improved data accuracy, reducing error margin to 3% by cross-referencing multiple data sources
• Reduced time for monthly deliverables by 1 week by creating automated reports for sales & marketing - Improved workflow efficiency by working with cross functional teams to identify appropriate data sources &.

Tempe, AZ, US

Developed Machine Learning models for Classification & Regression problems in R

Phoenix, Arizona, US

• Objective: To reduce marketing lead generation time and marketing costs by identifying and analyzing key drivers of marketing campaigns.
• Reduced marketing lead generation time by 3 days and marketing costs by 25% by identifying and analyzing key drivers of marketing campaigns using Regression modeling and factor analysis in R
• Extracted call center, campaign and customer data and performed data transformation and exploratory data analysis in R
• Achieved a 10% increase in lead conversion rate by analyzing customer demographic data to optimize marketing qualified leads (MQLs)
• Enhanced team efficiency by developing interactive PowerBI dashboards, providing actionable insights into the impact of call parameters (call time, duration, job function, customer title) on KPI’s
• Reduced bizDev calling costs by 20% by performing optimization analysis in R, determining optimal call volume and timing for maximum efficiency

• Co-developed the SQL database with customer and product holding information
• Increased workflow efficiency by creating data pipelines to support Power BI dashboards for financial decision and reporting
• Recommended promotional strategies by developing sales bundles & provided time series sales forecast in Excel
• Increased sales by 12% due to novel approaches to marketing and client acquisition by providing insights into seasonality trends and targeted marketing plans
• Tracked monthly sales quota of employees to report whether targets were met

• Translate business propositions into quantitative queries and collect/clean the necessary data
• Assisted data engineer in the design of ETL process
• Created summary tables in Excel using pivots and helped the team analyze sales and income records to make better marketing decisions by drawing insights from the data

Master Of Science - Ms, Business Analytics

Bachelors Of Engineering, Electronics And Telecommunications