Jan 2022 – Jun 2023 · 1 yr 5 mos

• Responsible for handling data science workstreams/use cases end to end including stakeholder management and final delivery of solution

Apr 2020 – Jan 2022 · 1 yr 9 mos

• Experienced Data Scientist with a demonstrated history of working in the Consulting Industry. Skilled in Python, R, Microsoft Office Tools, Hive, SQL, Spark, Oracle Database Administration, C++. Strong software professional with a Bachelor's degree focused in Computer Science from Thapar University.

Oct 2018 – Apr 2020 · 1 yr 6 mos · Pune, Maharashtra, India

• Personalized Marketing Analytics – AI/ML based Recommendation Engine for personalized targeting of customers to increase engagement after enrollment. The solution uses algorithms such as Collaborative Filtering and Model Based Recursive Partitioning (MOB) to identify major drivers of customer engagement and identify emerging trends.
• Sales Data Anomaly Detection – Developed a Data Investigation Framework that employs various DQMs and Machine Learning algorithms to proactively flag out anomalies in the data. This framework proactively suggests adjustments to data ahead of time using interactive visualizations and summaries.
• Agile Analytics – Built integrated data and analytics infrastructure and pipelines to support drug launch analytics for broader commercial organization.
• Patient Event Prediction – Developed a machine learning capability to predict and understand the drivers of market events like patient switching between drugs using patient level data. The capability comprises of independent components with pipelines for data aggregations, feature engineering, modelling etc. which can be utilized individually to solve for different use cases.

Jul 2017 – Sep 2018 · 1 yr 2 mos · Noida

• Pay Propensity – Predictive solution which reduces rework on specific medical insurance claims. This solution generates savings of around $40,000 annually along with other benefits.
• Fraud Detection – Identify all the fraudulent claims which were similar to the ones identified in the past. The solution generates an annual savings of around $1.8 M

Jan 2017 – Jun 2017 · 5 mos · Gurgaon, India

• Developed a JavaScript based dashboard for internal use to streamline and optimize the data updating process.
• Worked on improving various front-end and back-end modules.
• Responsible for unifying different modules.