Pritha Ghosh

Applied Data Science Experience (2022 – Present)

• Performed EDA on large private equity datasets (funds, deals, investors, cash flows, valuations) to identify trends, data quality issues, and business patterns.
• Built predictive and classification models using Decision Trees, Random Forests, KNN, and Naive Bayes for performance and risk analysis.
• Developed time-series and regression-based models to support cash flow forecasting and trend estimation.
• Implemented feature engineering and model evaluation workflows using Python and SQL.
• Created Power BI dashboards to present analytical insights, trends, and KPIs to internal teams and clients.
• Supported deployment of analytics logic into the daappa platform in collaboration with engineering teams.
• Used SQL extensively (PostgreSQL / MS SQL Server) for data extraction, transformation, and validation.
• Worked closely with Product, Support, and Client teams to ensure analytics outputs aligned with real investment workflows and reporting needs.

Platform & Leadership Responsibilities

• Led global technical support teams across EMEA and AMER, acting as escalation point for complex data and reporting issues.
• Conducted root cause analysis on production data issues and collaborated with engineering to implement long-term fixes.

• Provided technical support and development for client-facing SaaS applications, serving as the primary point of contact for L3 production issues and ensuring timely resolution across global users.
• Diagnosed and resolved complex issues in multi-tenant cloud environments, collaborating with Product, DevOps, and Engineering teams to deliver scalable, sustainable fixes.
• Facilitated real-time troubleshooting during client support calls to maintain service uptime and client satisfaction in SaaS delivery models.
• Contributed to platform enhancements and bug fixes using ASP.NET MVC, C#, Angular, and MS SQL Server, ensuring consistent performance.
• Developed and maintained backend windows services and job automation tools to support high-availability SaaS platforms with minimal manual intervention.

• Developed and supported client’s document management systems in .NET, working directly with clients to resolve production issues.
• Provided L3 support in legacy environments using COBOL and PL/1 for financial sector clients.