Krisha Patel Email & Phone Number

Illinois, United States

• Developed and maintained data-driven solutions to support Walgreens' omnichannel platforms, integrating physical and digital services to enhance customer experiences.• Automated pharmacy and healthcare data workflows using Python, reducing processing time and improving data accuracy for critical patient services.• Utilized machine learning frameworks such as Scikit-learn and TensorFlow to develop predictive models for personalized healthcare recommendations and inventory optimization.• Designed and deployed RESTful APIs to integrate with Walgreens’ digital platforms, enabling real-time synchronization of customer orders, prescriptions, and store inventory.• Conducted advanced data analysis and visualization using Python libraries like Pandas, Matplotlib, and Plotly to identify trends in retail and healthcare service usage.• Collaborated with cross-functional teams to implement data security measures in Python applications, ensuring compliance with HIPAA and other regulatory standards.• Supported Walgreens' neighborhood health initiatives by developing Python-based tools to analyze community health data and measure the impact of local programs.• Leveraged Python for natural language processing (NLP) tasks to extract insights from customer feedback, enhancing Walgreens' ability to meet patient needs.

Illinois, United States

• Developed and deployed machine learning models for predictive analytics, sentiment analysis, and real-time decision-making, driving data-driven solutions for business challenges.• Automated critical workflows in finance, accounting, procurement, and HR using Python scripts, reducing manual intervention and improving process efficiency.• Built and optimized RESTful APIs to facilitate secure and efficient integration of enterprise systems, enhancing interoperability across delivery centers.• Conducted advanced data analysis and visualization using Python libraries such as Pandas, NumPy, Matplotlib, and Seaborn, delivering actionable business insights.• Implemented efficient data processing and parallel computing techniques using Python's multithreading, multiprocessing, and asynchronous programming capabilities to improve system performance.• Developed and maintained data pipelines for structured and unstructured data using frameworks like PySpark and Apache Airflow.• Ensured robust data security and compliance within Python applications by implementing encryption, role-based access control, and secure coding practices.• Utilized machine learning frameworks like TensorFlow and Scikit-learn for model development in production environments.

Maryland, United States

• Analyzed and processed large volumes of structured and unstructured data using Python libraries such as Pandas, NumPy, and PySpark to derive actionable insights for vehicle, property, and business insurance solutions.• Developed automated dashboards and visualizations using Python libraries like Matplotlib, Seaborn, and Plotly to monitor key performance indicators (KPIs) and support data-driven decision-making.• Collaborated with cross-functional teams to enhance customer experience analytics, identifying patterns in claims, customer behavior, and pricing strategies to drive business outcomes.• Conducted in-depth insurance risk analysis by leveraging Python-based statistical modeling techniques, enabling accurate predictions and improved underwriting efficiency.• Built and maintained robust ETL pipelines using Python and SQL to aggregate and transform data from multiple sources, ensuring seamless integration into the company’s data warehouse.• Utilized machine learning frameworks such as Scikit-learn and TensorFlow to develop predictive models for fraud detection, claim forecasting, and customer retention.• Deployed Python-based solutions in cloud environments using platforms like AWS and Azure to ensure scalability and efficiency in data analytics processes.

Master Of Computer Applications - Mca

Education record