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Click here or scroll down to respond to this candidateCandidate's Name
Hartford, CT EMAIL AVAILABLE PHONE NUMBER AVAILABLE LINKEDIN LINK AVAILABLE EducationUniversity of ConnecticutMasters, Business Analytics and Project Management January Street Address - May 2024CGPA:3.Street Address /4.0National Institute of Technology, RourkelaBachelors, Mining EngineeringAugust 2015-May 2019SkillsLanguages:Data Engineering Tools:Microsoft Excel, Python, R, SQLKubernetes, Kafka, Airflow, DagsterVisualization:Data Management:Excel, Matplotlib, Power BI, Seaborn, TableauMicrosoft SQL Server, ETLAnalytical: Data cleaning, Data Mining, Data Modeling, Time Series Forecasting Machine Learning: Linear Regression, Logistic Regression, SVM, K-Means, Random Forest, KNN, Boosting, CNN, RNN, LSTM, Deep Neural Networks, Ensemble Learning, XG-Boost, GAN, Predictive modeling Project Management: Agile, Scrum, Jira, Confluence, SDLC ExperienceGraduate Data Analyst - CT transit January 2024- April 2024 Collaborated with stakeholders to assess operational challenges through data analysis, resulting in a 15% reduction in travel times and a 20% increase in operational efficiency over four months. Analyzed data from customer feedback, transportation logs, and route optimization algorithms using Power BI and SQL Server; identified inefficiencies and bottlenecks, leading to a 25% improvement in delivery times and customer satisfaction. Monitored solution effectiveness through KPI dashboards in Power BI, tracking metrics such as on-time delivery rates(98%), fuel efficiency (15% improvement), and customer satisfaction scores (increased by 10%). Sr Data Analyst Technogrid IT Systems May 2019- December 2022 Utilized SQL queries (JOIN, GROUP BY, WHERE) and Python (pandas, numpy) along with Power BI for data visualization, reducing claim processing time by 25% and increasing operational efficiency by 30%. Spearheaded predictive analytics projects using Python (scikit-learn for predictive models) and SQL (data extraction), resulting in a 15% increase in retention rates and a 10% reduction in fraudulent claims. Extracted and refined customer and policy data using SQL (SELECT, UPDATE) and Excel (VLOOKUP, PivotTables) to enhance data quality and integrity, achieving a 15% reduction in data-related errors and a 30% improvement in access speeds. Designed and developed interactive dashboards in Power BI and Tableau, using DAX functions for data modeling, providing stakeholders with real-time data for informed decision-making. Conducted in-depth claims analysis and fraud detection using SQL (CASE statements, subqueries) and Python (data analysis with pandas), identifying fraudulent claim patterns and improving fraud detection capabilities by 20%. Executed customer segmentation based on demographics and behavior using Python (clustering models with scikit- learn) and SQL, boosting campaign effectiveness by 25% through targeted marketing strategies. Developed predictive models using Python (logistic regression, decision trees) to identify at-risk customers, enhancing policy renewals by 10%. Spearheaded market research initiatives, utilizing SQL (JOIN, SELECT) and Excel (PivotTables, VLOOKUP) to identify new business opportunities and emerging trends, increasing market share by 15% through strategic insights and competitive analysis. Cultivated and maintained key client relationships, leveraging Excel (customer data analysis) and CRM software to enhance client retention and satisfaction by 20%. Implemented effective feedback mechanisms using Excel (survey data analysis) and Python (data visualization with matplotlib) to improve service delivery by 10%. Formulated and executed sales strategies, driving a 25% increase in annual sales through data-driven decision-making and targeted marketing. Coordinated efforts with marketing, product development, and operations teams to ensure seamless execution of business initiatives, enhancing process efficiency by 15% through effective interdepartmental communication. Generated insightful reports on business development activities using SQL (report generation) and Excel (data analysis), highlighting key achievements and contributing to a 20% overall performance improvement. Data Analyst Life Insurance Corporation of India May 2017- April 2019 |
