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Click here or scroll down to respond to this candidateCandidate's Name
DATA ANALYSTNew Jersey (Open to relocate), USA PHONE NUMBER AVAILABLE EMAIL AVAILABLE LinkedIn SUMMARY Seasoned Data Analyst with 6+ years of experience in healthcare, financial services, and technology sectors, specializing in predictive modeling, data mining, and advanced analytics. Proven track record of leveraging machine learning algorithms and statistical techniques to drive business insights, resulting in significant cost savings and improved operational efficiency. Expertise in utilizing Python, SQL, R, and SAS for data manipulation, analysis, and visualization, with proficiency in libraries such as NumPy, Pandas, Scikit-learn, and TensorFlow. Skilled in developing interactive dashboards using Tableau, Power BI, and QlikView, enhancing data-driven decision-making processes for stakeholders. Strong background in ETL processes, database optimization, and cloud platforms including AWS and Google Cloud Platform, ensuring efficient data management and processing. Proficient in conducting advanced statistical analyses, including regression analysis, hypothesis testing, and A/B testing to support risk assessment and financial modeling. Applied data mining techniques to uncover patterns and identify potential fraud, waste, and abuse, leading to significant cost savings and improved compliance. Earned certifications in Artificial Intelligence & Machine Learning and AWS, demonstrating a commitment to continuous learning and staying updated with industry best practices and technologies. SKILLSMethodologies: SDLC, Agile, WaterfallProgramming Language: Python, SQL, R, SASPackages: NumPy, Pandas, Matplotlib, SciPy, Scikit-learn, TensorFlow, Seaborn, dplyr, ggplot2, Keras Visualization Tools: Tableau, Power BI, Advanced Excel (Pivot Tables, VLOOKUP) IDEs: Visual Studio Code, PyCharm, Jupyter Notebook Database: MySQL, PostgreSQL, MongoDB, SQL ServerCloud Platform: AWS (EC2, RDS, S3), Google Cloud Platform Other Technical Skills: SISS, SSRS, Exploratory Data Analysis (EDA), Machine Learning Algorithms, ETL Tools, Statistics, ServiceNow, ANOVA, MapReduce, Snowflake, Alteryx, Probability distributions, Mathematics, Confidence Intervals, Advance Analytics, SAS, MS Office Suite (Microsoft Word, PowerPoint, MS Visio), Hypothesis Testing, Regression Analysis, Linear Algebra, Advance Analytics, Google big query, Data Mining, Data Visualization, Data warehousing, Data transformation, Data Storytelling, Big Data, Data Integration, Data Interpretation, Data Pipeline, Association rules, Clustering, Classification, Regression, A/B Testing, Forecasting & Modelling, Data Cleaning, Data Wrangling, Git, GitHub, JIRASoft Skills: Effective Communication, Problem-Solving, Time Management, Stakeholder Management, Presentation Skills, Risk Management, Flexibility, Networking, Optimization Techniques, Verbal Communication, Analytical Thinking, verbal and written communication Operating Systems: Windows, LinuxEXPERIENCE Data Analyst Aetna, NJNov 2022 Present Led a team of 3 analysts in developing a predictive model to identify high-risk members for targeted intervention, resulting in a 15% reduction in hospitalization rates. Utilized SQL to extract and analyze large datasets from multiple sources, processing over 1 million patient records daily. Leveraged Python libraries (Pandas, NumPy, Scikit-learn) to process and analyze 5TB of healthcare data, improving data preparation efficiency by 40%. Implemented machine learning algorithms using TensorFlow to predict medication adherence, achieving 88% accuracy in identifying non-compliant members. Developed interactive Power BI dashboards to visualize PBM performance metrics, reducing report generation time by 60% and improving stakeholder decision-making. Utilized data mining techniques to uncover patterns in pharmacy claims, identifying $3.2M in potential fraud, waste, and abuse. Designed and tracked 12 key performance indicators (KPIs) for pharmacy network performance, leading to a 7% improvement in overall network efficiency. Developed and maintained Excel-based dashboards to track key performance indicators (KPIs) for pharmacy benefit management (PBM) programs. Created and automated weekly reports using SAS, reducing manual reporting time by 75%. Conducted in-depth analysis of pharmacy claims data to identify cost-saving opportunities, resulting in $2.5 million annual savings. Performed ad-hoc analyses to support client requests, delivering insights within 24-48 hours. Utilized statistical analysis techniques to identify trends in medication adherence, leading to improvement in member compliance. Conducted ROI analysis for various PBM programs, identifying opportunities to optimize spend and increase profitability. Created a real-time anomaly detection system using Python and AWS Lambda, flagging unusual claim patterns within 5 minutes of occurrence. Utilized AWS Glue for ETL processes, reducing data integration time by 35% and improving data quality by 25%. Applied association rule mining techniques to identify frequently co-prescribed medications, informing a formulary optimization strategy that saved $1.8M annually.Data Analyst NextGen Healthcare, India Jul 2018 Aug 2021 Led a comprehensive Medicaid Eligibility System Modernization project, collaborating with 15+ stakeholders to gather and analyze business requirements over a 6-month period. Conducted in-depth data analysis on 10TB of Medicaid eligibility data, identifying 5 critical data sets and standardizing 200+ data elements across multiple sources. Designed and implemented 8 interactive Tableau dashboards using Power Pivot and Power Query, improving eligibility tracking efficiency by 40% for 500,000 beneficiaries. Leveraged SQL and SAS to perform ETL processes on 1.5 million records from DB2 and Teradata databases, reducing processing time by 30% through optimized SAS macros. Actively participated in HL7 working group, contributing to the development of 3 new standards and implementing MITA Medicaid Eligibility Architecture for 95% compliance. Created 10+ Data Flow Diagrams (DFDs) and Entity Relationship Diagrams (ERDs) using modeling tools, facilitating clear communication of system architecture to 50+ team members. Implemented a machine learning model using Scikit-learn to predict eligibility status, achieving 92% accuracy and reducing manual review time by 60%. Designed and optimized PostgreSQL database schema for storing 1.5 million beneficiary records, improving query performance. Leveraged Google BigQuery to process and analyze 5 years of historical eligibility data, handling over 100 million records with sub-second query response times. Developed a Python-based ETL pipeline using Apache Beam and Google Cloud Dataflow, processing 500,000 daily transactions.Data Analyst SoftAge Group, India May 2016 Jun 2018 Extracted and analyzed 5TB of financial data, providing insights that led to improvement in strategic decision-making accuracy. Optimized 50+ SQL queries by creating and fine-tuning database indexes, reducing average query response time by 40%. Developed a machine learning model using Scikit-Learn and TensorFlow, achieving 92% accuracy in fraud detection and reducing false positives by 30%. Implemented ETL processes using Informatica, transforming and validating 2 million daily transactions. Utilized Pandas and NumPy to process 10 million customer records, identifying key risk factors and improving risk assessment accuracy by 25%. Utilized libraries like Pandas, NumPy, and Matplotlib for statistical analysis and visualization and employed Jupyter Notebook for exploratory data analysis (EDA) and to create interactive data-driven reports. Conducted regression analysis on 3 years of historical data, developing a risk model that improved prediction accuracy by 20%. Developed a custom Python library for financial calculations, reducing code duplication by 40% across the data science team. Created a QlikView dashboard for monitoring 20+ KPIs in real-time, improving response time to market fluctuations by 50%. Used advanced Excel functions (VLOOKUP, Pivot Tables, Macros) and VBA for data cleansing, transformation, and automation of routine tasks.EDUCATIONMaster of Science in Computer Science New Jersey Institute of Technology, New Jersey, USA Bachelor of Technology in Computer Science Engineering Jawaharlal Nehru Technological University, Hyderabad, India CERTIFICATION Post-Graduation Diploma in Artificial Intelligence & Machine Learning NIT Amazon Web Services Certified Developer - Associate |
