Md Zishan Hussain

Lead Applied Data Scientist

• Job Details:Implemented RAG (retrieval-augmented generation) concept to develop a chatbot solution for optimizing client leads query resulting in 90% efficiency for targeted campaigns. Executed GenAI and its associated use cases, successfully executed a couple of proof of concepts (POCs) to integrate GenAI – Langchain, Llama 4, Groq API. Supervised the development of a competitor response planning predictive model using logistic regression, random forest, XGBoost, reducing churn by 85% by re-engaging lapsed and at-risk customers. Spearheaded the automation of measurement processes across various business-as-usual (BAU) tasks in different markets, improving efficiency and saving over 50% of manual effort by streamlining solutions.

Senior Applied Data Scientist

• Job Details:Applied advanced clustering techniques like k-means, k++, DBSCAN to analyze customer data. Resulted in a 15% increase in campaign effectiveness by tailoring marketing strategies. Spearheaded targeted marketing initiatives across key segments, delivered 15.5m incentivized offers to 5m customers weekly, totaling 260m customers and 8.06b offers annually, optimizing customer engagement and retention through data-driven planning and execution. Directed the evaluation and continuous improvement of marketing campaigns by leveraging key performance indicators (KPIs) such as engagement rates sales-to-cost ratio (SCR), and managing 200m sales uplift, providing actionable insights to inform strategic decision-making.

Data Analyst (On-site)

• Job Details:Led the development of a real-time COVID-19 tracker for Madhya Pradesh, enabling bureaucratic stakeholders to make data-driven decisions by monitoring the pandemic's state-wide impact. The solution optimized resource allocation and freed up 90% of the bandwidth for a team of five consultants. Directed a team to develop a forecasting model predicting facility-level bed requirements for COVID-19 in Madhya Pradesh’s 52 medical colleges, supporting real-time decision-making.