Priyanka Shah Email & Phone Number

I am a results-driven Data Scientist with extensive experience in transforming complex data into actionable insights that drive data-informed decision-making. My expertise lies in leveraging Machine Learning algorithms, Deep Learning techniques, and Statistical Modeling to tackle challenging business problems. Proficient in programming with Python, R, and SQL, I utilize advanced data visualization tools like Tableau and Power BI to present insights clearly and effectively.Throughout my career, I have developed a strong command of Natural Language Processing (NLP), Time Series Analysis, and Predictive Analytics, complemented by experience in Big Data technologies such as Apache Spark and Hadoop. I am highly skilled in data wrangling and automating data pipelines through ETL processes, and I have worked extensively with Cloud Platforms (AWS, Azure, GCP) to create scalable data solutions.My analytical capabilities are further enhanced by my proficiency in A/B Testing, Hypothesis Testing, and advanced Mathematical Optimization techniques, allowing me to contribute to business growth and operational efficiency.Key Achievements- Customer Segmentation Models: Developed customer segmentation models at Dollar General that improved targeted marketing strategies, boosting customer engagement.- Inventory Forecasting: Built Time Series forecasting models that optimized stock levels and minimized overstock, significantly improving inventory management.- Credit Risk Models: Created and deployed credit risk models at Wells Fargo, enhancing credit evaluation processes and reducing risk exposure.- Fraud Detection: Designed fraud detection algorithms that utilized Anomaly Detection techniques, resulting in a measurable decrease in fraudulent transactions.- Predictive Analytics in Healthcare: Developed predictive models at Cigna Healthcare that forecasted patient claims, reducing processing times and optimizing resource allocation.- Automated Data Pipelines: Streamlined data accessibility by automating ETL processes using Apache Airflow and NiFi, enhancing operational efficiency across teams.- Dynamic Dashboards: Created interactive dashboards in Tableau and Power BI that enabled real-time decision-making for store managers and cross-functional teams.- I am passionate about using data to solve real-world problems and continuously seek opportunities to expand my skills and contribute to impactful projects. Let’s connect and explore how we can leverage data to drive success!

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  The City University Of New York

  Computer Science