Hitasha Ahuja

Application Development Associate Manager

Accenture Services Pvt. Limited

07.2010 - Current

Boosted revenue by 4% through cross/up-selling opportunity analysis in Consumer Goods & Retail using multi-offering data insights.
Developed an Gen AI and Agentic AI-powered NLP solution to generate business requests, detect anomalies, recommend accesses and guide approvers while enhancing request management efficiency.
Applied K-Means clustering on RFM features to segment clients; insights used for account planning led to 6% revenue growth.
Built optimized labor pricing models using statistical analysis to increase profitability.
Automated narrative generation for Sales dashboards using Python and Natural Language Generation (NLG).
Conducted CMO event impact analysis using correlation and trend techniques to drive pipeline decisions.
Used Apriori algorithm for association mining on deal types, enabling cross-sell strategies for Sales teams.
Estimated client lifetime value and churn rates with BTYD probabilistic models to optimize business development efforts.
Leveraged NLP to identify high-value sales opportunities by analyzing skill-based deal characteristics.
Performed COVID-19 impact analysis on deals using time-series and predictive analytics to inform strategic pivots.
Created a recommender classifier using collaborative filtering to suggest client-relevant services, aiding cross-selling.
Built social media sentiment analysis model for a UK bank using Naïve Bayes (70% accuracy).
Applied Linear Regression and PCA to model KPIs and identify key drivers for revenue outcomes.
Forecasted incident inflow using time-series models like SMA and Holt-Winters with seasonal adjustments.
Developed Win/Loss prediction model using Logistic Regression (~77% accuracy).
Implemented anomaly detection on revenue and BD spend using Azure Cognitive Services.
Built incident classification models using Naïve Bayes to improve service ticket routing.
Delivered end-to-end analytics solutions (data modeling in R, visualization in Power BI) for a top European semiconductor firm.
Built SQL models and Power BI dashboards for internal knowledge portal analysis. Modeled customer survey data using GBM in R; delivered actionable insights via Power BI dashboards.
Published a CRAN R package to dynamically add columns to datasets based on user rules. Experienced in working with CSL, KPIs, and KM metrics in service management domains.