Asher Joy

Telecommunications client #2:

• Conducting root-cause analysis of 5k+ records of churned customer data via Python (pandas)
• Created a keyword search script in Python (pandas, NLTK) to analyze 6k+ call center transcripts and identify primary & secondary reasons for churn

FinTech client:

• Coached 30+ clients to build digital-transformation business cases and define milestones for technology initiatives across Shared Services and Platforms
• Synthesized best practices for choosing a cloud service provider, including forecasting demand, target architecture model implications, and assessing cost/scalability implications
• Created VBA, JavaScript, and HTML-based automated email script for customized outreach to 100+ clients

Telecommunications client #1:

• Supported development of LLM model to measure call-center agent compliance on best practice techniques (e.g., pitching the best offer, asking for address)
• Analyzed 4k+ records of deactivated customer accounts using Python (pandas) to clean and synthesize key drivers of churn (e.g. customer tenure, bill size, demographics) and develop/launch strategy to proactively target customers at risk for churn

GenAI Research: Compared 3 case studies of GenAI monetization strategies by mapping feature offerings to subscription tiers

• Analyzed data for 10+ economic development projects in Python (pandas) and SQL to synthesize key insights and create a written impact report for stakeholders
• Performed sentiment analysis on 2k+ qualitiative survey data records using Python in Google Colab (NLTK, pandas, matplotlib, sklearn)