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Click here or scroll down to respond to this candidateCandidate's Name
DATA ANALYSTNJ, USA PHONE NUMBER AVAILABLE EMAIL AVAILABLE LinkedInSUMMARY Possessing 4+ years of practical experience as a Data Analyst across diverse industries, showcasing proficiency in data analysis, visualization, and interpretation. Skilled in data extraction, cleaning, transformation, and preparation from multiple sources, including insurance policy databases, claims systems, and IT infrastructure logs. Adept at performing advanced statistical analysis, predictive modelling, and machine learning techniques to identify patterns, trends, and anomalies in insurance and IT data. Experienced in developing data-driven risk assessment models, fraud detection algorithms, and pricing strategies for insurance products and services. Proficient in creating insightful data visualizations, interactive dashboards, and reports to communicate complex findings to stakeholders, including underwriters, actuaries, and IT managers. Collaborated closely with cross-functional teams, including actuarial, underwriting, claims, IT operations, and data engineering, to understand data requirements and provide relevant analysis. Contributed to the design, development, and maintenance of business intelligence (BI) systems and reporting tools tailored to the insurance and IT domains. Ensured compliance with relevant regulations, industry standards, and data privacy laws in the insurance and IT sectors. Continuously improved data analysis processes, explored new techniques, and implemented best practices to enhance efficiency and effectiveness. Proficient in a broad spectrum of technical tools and methodologies, including Python, SQL, R, Pandas, NumPy, Tableau, and Power BI. Skilled in the management of various databases such as MySQL, MongoDB, PostgreSQL, and SQL Server. Hands-on experience utilizing cloud technologies, particularly Amazon Web Services (AWS), for secure and scalable storage of both raw and processed data.TECHNICAL SKILLSMethodologies: SDLC, Agile, WaterfallLanguage: Python, SQL, RPackages: Pandas, NumPy, Matplotlib, SciPy, Seaborn, Scikit-Learn, ggplot2 Data Visualization Tools: Tableau, Power BI, Advanced Excel, Statistics Database: MySQL, MongoDB, PostgreSQL, SQL ServerIDEs: Visual Studio Code, PyCharm, Jupyter Notebook Cloud Technologies: Amazon Web Services (AWS), GCP Other Technical Skills: Machine Learning Algorithms, Mathematics, Probability distributions, ANOVA, Hypothesis Testing, Regression Analysis, Linear Algebra, Advance Analytics, Data Mining, Data warehousing, Data transformation, Data Storytelling, A/B Testing, Forecasting & Modelling, Data Cleaning, Data Wrangling, Requirement Gathering, Root Cause Analysis, Jira, Git, GitHubOperating System: Windows, Linux, Mac OSPROFESSIONAL EXPERIENCEData Analyst Radian Group, NJ Jan 2023 Present Engaging in the complete Software Development Life Cycle (SDLC), adhering to Agile methodologies, to develop the application. Utilizing Power BI for crafting diverse analytical dashboards, aiding business users in swiftly grasping data insights. Engaging in data cleaning, mining, and wrangling processes, rectifying unorganized, inconsistent, and erroneous data using NumPy and Pandas in Python. Maintain and enhance data analysis tools, processes, and techniques for continuous improvement. Executing Data extraction, cleaning, loading, analysis, wrangling, and Predictive Modelling employing R and Python, resulting in a 30% increase in data accuracy and model performance. Formulating SQL queries/reports to extract metrics from SQL Server essential for the executive management team, facilitating a 10% improvement in data accessibility and reporting efficiency. Work closely with actuarial teams, underwriters, claims handlers, and other stakeholders to understand their data needs and provide relevant analysis. Contributing to developing machine learning models using Scikit-learn library in Python, including model selection, hyperparameter tuning, cross-validation, and evaluation metrics optimization. Optimizing Alteryx workflows for performance, efficiency, and reusability by identifying and implementing workflow optimizations, such as parallel processing, caching, and modularization. Developing Visualforce pages utilizing Lightning Web Components (LWC) for a proprietary CRM application to monitor business flow, leading to a 15% improvement in user interface responsiveness and user experience. Data Analyst Exert Infotech, India Jan 2019 Dec 2021 Developed and maintained data pipelines or ETL processes to ensure data consistency and reliability, while aiming for a 10% improvement in efficiency and reliability quarterly. Utilized data analysis packages such as Pandas, NumPy, SciPy, and Matplotlib for product development. Created and maintained a data rules spreadsheet using a spreadsheet application, such as Google Sheets or LibreOffice Calc, to update allowed values, findings, and profiling results. Conducted data cleaning processes to identify and rectify errors, inconsistencies, and missing values in datasets. Designed dashboards using visualization tools like Tableau, incorporating calculated fields, parameters, calculations, groups, sets, and hierarchies for effective data presentation, aiming for 10% improvement in dashboard usability and effectiveness annually. Implemented and managed the reporting infrastructure, utilizing a SQL Server database, with a target of 15% enhancement in reporting speed and accuracy annually. Executed tasks related to Data Profiling, Data Cleansing, Data Mapping, and Data Quality enhancement to ensure the integrity and accuracy of the data being analyzed, striving for a 10% increase in data quality and integrity quarterly. Conducted A/B testing to evaluate the effectiveness of different strategies or interventions. EDUCATIONMaster of Science in Computer Science NEW JERSEY INSTITUTE OF TECHNOLOGY, NJ, USA Bachelors in Information Technology LDRP INSTITUTE OF TECHNOLOGY AND RESEARCH, India CERTIFICATIONS AWS Certified Cloud Practitioner Google Data Analytics |
