Keerthi T.

About Keerthi T.

With 3+ years of professional and academic experience in finance, retail, marketing, logistics, and Non-Profit organizations, I’m a highly motivated and goal-oriented Data Analytics professional. A bachelor’s degree in computer science and technology and a master’s degree in business Analytics have provided me with the fundamental knowledge and skills to excel as a Data Analytics professional.I possess technical skills in Analysis Tools & Platforms such as Google Analytics, Tableau, and PowerBI, as well as programming languages such as Python, R, Stata, SAS, SQL, C, C++, and MATLAB, enabling me to provide valuable insights, analytics, and business intelligence. Additionally, I am well-versed in ETL, data cleaning, and pre-processing, ensuring the accuracy and reliability of data. My skills also extend to big data technologies such as Hadoop and Spark, allowing me to handle large volumes of data with ease. With extensive experience in hypothesis testing, statistical modeling, and Time Series Analysis, as well as predictive and prescriptive analytics, I ensure that the insights provided are both accurate and reliable. My passion for continuous learning ensures that I am always looking for ways to improve my skills and provide the best possible solutions for my clients. As a Data Analytics professional, I am excited about the opportunity to work with organizations that are committed to leveraging the power of data to drive growth and innovation. If you are looking for a highly skilled and motivated Data Analytics professional to join your team, I would love to connect with you.Technical Skills: Programming: Python, R, SQL, Stata, SAS, C, C++MATLAB Big Data Ecosystems: Spark, Google Analytics, AWS, Databricks, Hadoop, MapReduce, HDFS, Hue, Hive, Sqoop, Flume, PigTools: Tableau, Power BI, Qlik View, ArcGIS Business Analyst, Advanced MS Excel, Adobe Analytics, Jira, Mongo DB, Oracle SQL, GIT, Docker, Kubernetes, Visual Studio, Jupyter Notebooks, RStudio, IntelliJ IDEADatabases: MySQL, PostgreSQL, MongoDB, OracleDBOperating systems: Windows, MacOS, UNIX, Linux Contact Information:Email: k••••••••@gmail.com

Experience

1. Business Analyst

   Accenture

   Jul 2024 — Present · TX, US

   Developed Tableau dashboards and Snowflake models integrating clinical, operational, and financial KPIs, reducing manual reporting by80% and supporting quality and revenue cycle decisions.• Executed SQL- and Python-based analyses of encounter, utilization, and population health datasets to identify patterns, validate metrics,and improve forecasting accuracy by 20%.• Built automated reporting workflows in Excel/Power Query to enhance visibility of cost and performance trends by 35%, enabling leadershipaction.• Applied regression and quantitative modeling to evaluate drivers of workflow efficiency and clinical/operational outcomes.• Consolidated SQL Server, PostgreSQL, and Snowflake sources to improve data quality by 30% and strengthen reliability of CDI-relatedanalytics.• Presented analytical findings to senior leadership, improving alignment on documentation improvement and performance measures.

Education

• The University of Texas at Dallas

  Master of Science - MS, Business analytics

  2021 — 2023

• Jain (Deemed-to-be University)

  Bachelor of Technology - BTech, Computer Science

  2016 — 2020