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Click here or scroll down to respond to this candidateCandidate's Name
Ansonia CT Street Address PHONE NUMBER AVAILABLE EMAIL AVAILABLE LinkedInP r o f e s s i onal summary Dynamic and detail-oriented Data Analyst with 3 years of experience, specializing in transforming complex datasets into actionable insights to drive business decisions. Proficient in statistical analysis, data mining, and data modeling, with extensive experience in managing large datasets. Skilled in SQL for database management, and adept in using Python for data manipulation and analysis, with proficiency in libraries such as Pandas, NumPy, Matplotlib, Seaborn, and Plotly. Experienced in leveraging machine learning algorithms for predictive modeling and analysis using Python libraries like scikit-learn, TensorFlow, and Keras. Proficient in using Azure ML Studio for developing and deploying machine learning models. Experienced with Azure Data Factory for orchestrating and automating data movement and data transformation. Skilled in utilizing AWS S3 for scalable cloud storage solutions. Familiar with AWS Glue for serverless data preparation and ETL processes. Capable of creating detailed reports and dynamic dashboards using Excel, Tableau, and Power BI, effectively communicating findings. Proficient in JIRA and ServiceNow for issue tracking, project management, and efficient resolution of data-related queries, enhancing team productivity and communication. SkillsProgramming Languages Python, R, Java, SQL and SAS Database Management MySQL, PostgreSQL, MongoDB, Hive, SQLite Data Analysis Tools Pandas, NumPy, SciPyData Visualization Tools Tableau, Power BI, Excel, Matplotlib, Seaborn, Plotly Machine Learning Libraries scikit-learn, TensorFlow, Keras, PyTorch Cloud Platforms AWS (S3, Glue, EC2, Lambda, Redshift), Azure (ML Studio, Data Factory, Databricks, Cosmos DB, Synapse Analytics), Google Cloud Platform Version Control Git, SVNOther Tools Jupyter Notebooks, Anaconda, Docker, Agile Methodologies (JIRA) Work ExperienceJUNE 2023- PRESENTData Analyst Super Logix, New Jersey, USA Conducted comprehensive analysis of healthcare data to identify trends, patterns, and areas for operational improvement, contributing to enhanced patient care and service delivery. Led company revenue analysis projects, utilizing advanced data analytics to assess financial performance, identify growth opportunities, and inform strategic planning. Utilized SQL and Python (Pandas, NumPy) for data querying, manipulation, and analysis, ensuring accurate and efficient handling of large datasets. Implemented machine learning models using Python's scikit-learn and TensorFlow to predict healthcare outcomes and revenue trends, enhancing decision-making processes. Developed and maintained dynamic dashboards and reports in Tableau and Power BI, providing actionable insights to senior management and stakeholders on healthcare metrics and revenue KPIs. Leveraged AWS services, including AWS S3 for data storage, AWS Glue for data integration, and AWS Lambda for automating data processing tasks, to support scalable and efficient data analytics workflows. Collaborated with cross-functional teams to support data governance and data quality initiatives, ensuring the integrity and reliability of data analysis. Conducted regular data audits and analysis to support compliance with healthcare regulations and standards, contributing to the company's adherence to industry best practices. JUNE 2020- JULY 2022Data Analyst Infosys, Hyderabad, India Managed and analyzed customer policy data for a major insurance client, providing insights into customer behavior, policy retention, and risk assessment, significantly contributing to targeted customer service strategies. Utilized Python for scripting and automating data processing tasks, enhancing the efficiency of data analysis and reporting processes. Employed SQL for complex data querying and manipulation, ensuring accurate data extraction from large databases to support comprehensive analysis. Developed predictive models to forecast policy renewals and identify potential churn, using machine learning libraries such as scikit-learn and Pandas for data analysis and model development. Leveraged Azure cloud services, including Azure Data Factory for orchestrating and automating data integration workflows and Azure SQL Database for scalable, secure data storage solutions. Created visualizations and dashboards using Power BI, enabling stakeholders to access real-time insights into policy metrics and customer trends. Worked closely with the IT and business teams to implement data governance and quality controls, ensuring data integrity and compliance with industry standards. Contributed to cross-functional team efforts to optimize data-driven decision-making processes, improving policy customization and customer satisfaction.E ducationAUGUST 2022- DECEMBER 2023Master's in computer science Sacred heart University Connecticut C e r t i f i c ations Python for Data science and Machine learning bootcamp. UDEMY Statistics and mathematics for Data science and Data analytics. UDEMY Big Data Analytics with Hadoop and Apache SparkBig Data Analytics with Hadoop and Apache Spark. 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