Senior Associate Data Scientist

Roles & Responsibilities: Automation Framework for Model Validation (PPE Project): Designed and implemented an automation framework to streamline the validation process for predictive models for a leading CPG client. The solution enhanced model review efficiency, ensured regulatory compliance, and supported scalable deployments across business units. Revenue Forecasting in Healthcare: Improved a healthcare revenue forecasting model by adding domain-specific features and optimizing the feature engineering pipeline. These enhancements led to a notable increase in forecasting accuracy and model stability. Next Best Action (NBA) System – Utilities Sector: Developed a recommendation engine for personalized billing program suggestions in the electric and utilities domain. Leveraged machine learning and reinforcement learning (RL) techniques to dynamically adapt recommendations based on user behavior and feedback, resulting in increased customer engagement and program adoption.

Associate Data Scientist

No matter where I go next, no organization can surpass the people and culture of my current company. I began my analytics journey here, growing from an analyst to leading a team. I’ve gained experience in the automobile, CPG, and social journalism domains, and accumulated expertise in Python, statistics, SQL, and machine learning. My role has also involved delivering data-driven decisions, modeling, client communication, and project management. Additionally, I’ve learned various tools such as dashboarding, Jira, AWS, Looker, and Snowflake. Roles and Responsibility Deployed an Assortment Management tool for a CPG client to help Category Strategist in creating priority list for national, channel, and retailer levels using company’s in-house dashboard. The tool is able to improve the efficiency by 70% in creating priority lists, leading to faster decision-making Led the team in System Design, Database Creation, and PEP8 standards implementation for the Assortment Management tool Assisted the team in scaling of the data pipeline in order to accommodate demand transference model for over 200+ combination of categories and retailers Conducted impactful analysis and Deep Dives, delivering solutions through intuitive dashboards for the Platform, Mobile, and Revenue Teams of a social journalism client, resulting in a 16% boost in platform engagement over the next quarter Developed an Automated A/B Testing framework with the Mode dashboard, facilitating the creation and testing of over 5 experiments per sprint. Ensured statistical significance in assessing impact against KPI metrics, encompassing reader metrics, member conversion, and adoption rate Engineered a tailored dashboard integrating all pertinent reader metrics, member conversion, and adoption rate, resulting in an increase in the client’s ability to actively monitor and analyze ongoing changes in live A/B testing experiments Deployed a Price Elasticity model for an Automobile client to help the Brand managers optimize vehicle prices to maximize their share and profit Led Hypothesis testing, coupled with EDA, to validate new features for integration into the Price Optimization model, resulting in a significant 30% increase in the R2 score Spearheaded Knowledge Transfer sessions on Statistics, Python, and SQL for over 300 interns.

Analyst Traniee Engineer

Started my career working in CTS as a ITIL enginner in monitor and triaging tickets for a pharma company. Roles and Responsibilites Ticket Management (ServiceNow) and Monitoring-analyzed, measured, reported, monitored the tickets (Incidents/Service Requests) to improve the efficiency of incident management process by using ServiceNow Spearheaded the automating of Monthly Ticket Reporting analysis with the help of Python which reduced time, and effort by 8 hours Informatica monitoring of data workflows to ensure pipelines are working as expected. Headed weekly analysis meetings, aimed at enhancing efficiency, and capacity planning within the team