Jitendra Phani Kumar Katakam

About Jitendra Phani Kumar Katakam

Data Analyst | Healthcare & Financial Data Specialist | 3+ Years of Experience🤝 | Machine Learning & BI Enthusiast Passionate about leveraging data to unlock meaningful insights, I am a Data Science Master\'s graduate from Stevens Institute of Technology with over 3 years of experience as a Data Analyst. Currently working at a reputable company, I have developed a strong foundation in healthcare and financial domains, transforming complex datasets into actionable insights to drive strategic decision-making. Key Highlights: 1. Data Analysis & Machine Learning: Expertise in exploratory data analysis (EDA), deploying machine learning models, and generating predictive insights. Business Intelligence: Skilled in developing interactive dashboards using Tableau and Power BI, providing visual and data-driven solutions. Healthcare Domain Focus: Adept at conducting ad-hoc analyses with DAX to provide insights on patient demographics, treatment patterns, and cost analysis, empowering stakeholders to make informed decisions. Programming & Automation: Proficient in Python for data cleaning, statistical analysis, and workflow automation, significantly improving processes like patient wait time reduction and financial forecasting. ETL & Cloud: Experience building robust ETL pipelines on Azure, optimizing SQL queries for efficient data extraction, and implementing data governance frameworks to ensure compliance with industry standards, such as HIPAA. Collaborative Leadership: Strong communicator in Agile environments, translating data insights into strategies that improve organizational performance and guide executive decisions.

Experience

1. Data Analyst

   Johnson & Johnson

   Aug 2023 — Present · NJ, US

   Developed a prognostic model for predicting outcomes in various cancer types by analyzing genomic data, patient demographics, and treatment history.• Conducted exploratory data analysis (EDA) on a dataset of over patients to identify key genomic markers and demographic factors affecting cancer prognosis, implementing hypothesis testing to validate findings.• Developed machine learning models using ensemble methods and deep learning techniques, achieving 88% predictive accuracy to facilitate proactive treatment adjustments, impacting care for 2,500+ patients.• Created interactive dashboards in Power BI to visualize insights, including patient survival probabilities and treatment effectiveness, resulting in a 25% increase in data-driven decision-making among stakeholders.• Led data cleaning and wrangling initiatives using Python, improving data quality by 30% across a dataset of records to ensure the integrity of genomic and clinical datasets.• Established data governance standards and implemented quality assurance frameworks, conducting audits that reduced data errors by 20%, ensuring compliance with healthcare regulations.• Designed and optimized SQL queries to extract and transform data from 5+ databases, integrating genomic, clinical, and demographic information for comprehensive analysis.• Collaborated with data engineering teams to design and implement efficient data pipelines in Azure, improving data flow by 30%, ensuring timely availability for analytics.• Communicated complex insights through data visualization and storytelling, influencing strategic decisions at theexecutive level for enhanced personalized treatment approaches.• Ensured compliance with healthcare regulations such as HIPAA and GDPR, implementing security measures in Azure to protect sensitive patient information for a population of over patients.

Education

• Stevens Institute of Technology

  Master's degree

  2022 — 2024

• Jawaharlal Nehru Technological University Hyderabad (JNTUH)

  Bachelor of Technology - BTech