Data Analyst, Data Analysis

PREETHI ESTHARI

Data Analyst

************@*****.*** +1-913-***-**** https://www.linkedin.com/in/preethiesthari Summary

• Around 4 years of proven expertise in Data Analysis, utilizing statistical techniques, machine learning algorithms, and advanced data visualization tools.

• Led end-to-end SDLC projects, adeptly toggling between Agile and Waterfall, delivering Python, SQL, and R solutions for data analysis using NumPy, Pandas, Matplotlib, Seaborn, SciPy, ggplot2, and Scikit-learn.

• Excelled in data visualization with Tableau, Power BI, and Advanced Excel, integrating AWS services for scalable solutions across MySQL, SQL Server, PostgreSQL, MongoDB, and Oracle databases.

• Managed projects with Jira, HP Quality Center, and UAT, employing ETL tools, exploratory analysis, and statistical methods to extract actionable insights from diverse datasets.

• Applied SSIS, and SSRS for predictive modeling, classification, regression, clustering, and A/B testing, contributing to precise forecasting and modeling outcomes.

• Specialized in data cleaning, wrangling, storytelling, and association rule analysis, ensuring version control through Git and GitHub while excelling in KPI tracking and effective communication.

• Demonstrated adaptability in Windows, Linux, and MacOS environments, showcasing a comprehensive skill set in data analytics, statistics, data warehousing, and big data technologies.

• Worked closely with cross-functional teams, including Finance, Healthcare, and IT, to gather requirements and align data analytics with business goals, showcasing strong communication and problem-solving skills. Education

• Master’s in Computer Science – University of Central Missouri, Kansas, Missouri, USA

• Bachelor’s in Computer Science and Engineering – Anurag Group of Institutions, Hyderabad, India Skills

• Methodologies: SDLC, Agile, Waterfall

• Programming Languages: Python, SQL, R

• Data Analysis Packages: NumPy, Pandas, Matplotlib, Seaborn, SciPy, ggplot2, Scikit-learn

• Visualization Tools: Tableau, Power BI, Advanced Excel (Pivot Tables, VLOOKUPs)

• Cloud Technologies: Amazon Web Services,

• Databases: MySQL, SQL Server, PostgreSQL, MongoDB, Oracle,

• Project Tracking: Jira, Microsoft Visio, HP Quality Center, UAT, Statistical

• Operating System: Windows, Linux, MacOS

• Other Skills: ETL Tools, Statistical analysis, Machine Learning Algorithms, SSIS, SSRS, Probability distributions, Work Experience

Data Analyst Humana, North Carolina Nov 2023 – Present

Identified and evaluated potential data sources from internal and external stakeholders, ensuring data accuracy and completeness for healthcare analytics.

Collaborated with business partners to translate requirements into actionable data requirements, enhancing understanding of healthcare metrics and goals.

Developed and implemented algorithms for data analysis, utilizing tools like Python and SQL to address technical challenges and improve data insights.

Designed and executed effective data visualization strategies using Tableau, creating dashboards that supported strategic decision-making for patient outcomes.

Led efforts in data quality management, developing and implementing governance policies to monitor and ensure the integrity of healthcare data.

Conducted exploratory data analyses to generate insights and identify patterns in patient demographics, communicating findings to stakeholders for informed decision-making.

Leveraged advanced analytics techniques to measure KPIs related to patient care, driving strategic decisions and optimizing healthcare delivery processes.

Data Analyst HCL Tech, India May 2021 – Dec 2022

Identified and integrated diverse data sources for reinsurance analytics, ensuring that data was both accurate and accessible for analysis.

Worked closely with stakeholders to understand business goals, translating those into effective data requirements that drove strategic initiatives.

Developed algorithms and models for data analysis, addressing technical problems and enhancing the overall quality of analytical solutions.

Designed impactful dashboards and reports in Tableau, effectively visualizing data insights to support business decisions and optimize marketing strategies.

Implemented data governance practices, monitoring data quality metrics to proactively address issues and ensure compliance with industry standards.

Conducted exploratory analyses to identify key drivers of business performance, delivering insights to stakeholders in a clear and compelling manner.

Collaborated with cross-functional teams to drive process optimization, using data-driven recommendations to enhance project outcomes.

Data Analyst Microsoft, India Mar 2020 – Apr 2021

Identified and assessed various data sources to support financial reporting, ensuring that all data used was accurate and reliable.

Partnered with stakeholders to clarify and translate business requirements into clear data specifications, enhancing reporting efficiency.

Formulated and implemented algorithms for complex data modeling, addressing technical challenges and enhancing data accuracy.

Created compelling data visualizations using Power BI, delivering impactful insights that facilitated strategic decision-making at the executive level.

Led initiatives for data quality management, developing policies to ensure the integrity and accessibility of financial data across platforms.

Conducted thorough exploratory analyses to uncover trends and insights, effectively communicating results to support data-driven business decisions.

Drove process optimization through collaboration with cross-functional teams, utilizing advanced analytics to inform and influence strategic initiatives.

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