Ankit Shahi

Associate Consultant

ZS • Período integral

May 2022 - May 2025 • 3 yrs

After Infosys, Ankit joined ZS Associates as a Data Science Consultant in Healthcare Analytics, where he advanced his expertise in solving complex business problems for global pharmaceutical clients. His role demanded not only technical depth but also strategic thinking to align analytics with commercial outcomes. Key highlights include: Advanced ML & AI Solutions: Designed and deployed predictive models using Random Forests, Gradient Boosting (XGBoost, LightGBM), and Ensemble Learning to forecast sales, optimize marketing spend, and improve patient engagement strategies. Scalable Data Workflows: Built robust pipelines in Python, SQL, and Dataiku, integrating large-scale healthcare datasets with advanced feature engineering and model automation. Business Impact: Delivered interactive dashboards and advanced visualizations in Tableau and Dataiku, enabling stakeholders to make data-driven decisions with clarity and confidence. Client Engagement: Partnered with senior pharma executives to translate analytics into actionable strategies, ensuring measurable ROI and long-term impact. This tenure at ZS Associates solidified Ankit’s reputation as a strategic data scientist, capable of blending cutting-edge machine learning with business acumen to drive real-world healthcare outcomes.

Technology Analyst

Infosys • Período integral

May 2017 - May 2022 • 5 yrs

Ankit began his career at Infosys as a Technology Analyst, where he worked extensively as a Data Science Analyst. In this role, he developed and deployed analytical solutions for global banking clients, leveraging a strong technical foundation in Python, SQL, Excel, Dataiku, and Machine Learning. His responsibilities included: Building and optimizing data pipelines to ensure accuracy and efficiency in large-scale datasets. Designing predictive models and conducting advanced analytics to support strategic decision-making. Creating automated reporting solutions and dashboards that simplified complex information for stakeholders. Collaborating with cross-functional teams to translate business requirements into actionable data-driven solutions. This experience laid the groundwork for his career in analytics, giving him exposure to enterprise-scale projects, client-facing problem-solving, and mission-critical data solutions.