About
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Viewed 78
Education
- 2023 - 2024
- 2013 - 2017
Experience
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2022 - 2022
ValueLabs
Senior Business Analyst
• Optimized MySQL databases for seamless storage, retrieval, and analysis of insurance data for Benefitfocus clients, enhancing scalability and performance through indexing, partitioning, and query optimization.
• Generated insightful charts and graphs using Power BI for revenue analysis, facilitating informed strategic decision-making processes.
• Collaborated closely with cross-functional teams, fostering effective communication and synergy to align database solutions with client requirements and business objectives, ensuring optimal functionality and user satisfaction. -
2021 - 2022
Dynata
Data Analyst
• Implemented Regression analysis, Classification algorithms, and Cluster analysis to extract actionable insights from Survey data, enhancing decision-making processes.
• Employed sentiment analysis and Association Rule mining to discern meaningful patterns and Correlations within market research survey responses.
• Utilized feature engineering techniques to derive new variables from survey data, enhancing the insights obtained for further analysis in the study of Consumer Behavior Analysis.
• Collaborated within Agile Sprints alongside cross-functional teams to streamline survey launches, data collection, and analysis, promoting seamless communication and synergy to achieve project milestones. -
2017 - 2020
Innodatatics
Data Analyst
• Pharmabot, developed specifically for the MedPlusMart client, was designed to provide detailed drug information in response to user queries. This includes comprehensive details such as manufacturer, price, subclass, and class, along with recommendations for similar medications based on composition.
• The development of Pharmabot involved creating a sophisticated Chatbot tailored to address inquiries related to pharmaceuticals.
• The architecture of Pharmabot is built on Rasa Core and Rasa NLU, integrating machine learning techniques such as Support Vector Machines (SVM) and deep learning techniques like Long Short-Term Memory (LSTM) and Recurrent Neural Networks (RNN).