Data Analyst Analysis

ROHITH CHALLA

Data Analyst

+1-443-***-**** Baltimore, MD 21227 ******@*********.*** GitHub LinkedIn SUMMARY

• Data Analyst with 3 years of experience in translating complex data into actionable insights to drive decision-making.

• Expertise in building interactive dashboards, predictive modelling, and leveraging statistical tools to optimize business processes.

• Skilled in managing data pipelines, ensuring data quality, and delivering solutions aligned with organizational goals.

• Experienced in collaborating with cross-functional teams using Agile frameworks to streamline project delivery. Passionate about data storytelling to uncover trends and support informed decision-making. SKILLS

Methodologies: SDLC, Agile (Scrum), Waterfall

Programming Languages: SQL, Python, R, PL/SQL

IDEs: Visual Studio Code, PyCharm, Jupyter Notebook Packages: NumPy, Matplotlib, Pandas, TensorFlow,

PyTorch, Seaborn, SciPy, Scikit-learn, ggplot2, Plotly Visualization Tools: Tableau, Power BI, MS Excel, Alteryx Cloud Technologies: AWS (EC2, S3, RDS), Snowflake

Databases: MySQL, SQL Server, MongoDB

Data Analysis Techniques: Machine Learning Algorithms, Probability Distributions, Confidence Intervals,

Hypothesis Testing, Regression Analysis, Linear Algebra, A/B Testing, Data Mining, Data Transformation,

Forecasting & Modeling, Data Cleaning, Data Wrangling, Data Governance, Data Visualization, Data Warehousing, Association Rules, Clustering, Classification

EXPERIENCE

HCA Healthcare, USA Data Analyst Jan 2024 – Present

• Built and automated ETL pipelines to integrate healthcare data from diverse systems into Tableau, enabling real-time visualization and reducing manual data processing time by 30%.

• Developed and deployed Tableau dashboards to monitor patient outcomes, operational efficiency, and resource allocation, driving a 20% improvement in care delivery metrics.

• Conducted A/B testing to evaluate the effectiveness of patient engagement strategies, identifying interventions that increased patient satisfaction scores by 15%.

• Optimized SQL queries for clinical data analysis, reducing processing times by 25% and ensuring timely delivery of insights for strategic decision-making.

• Utilized Python (pandas, matplotlib) for exploratory data analysis (EDA), uncovering critical patterns in patient demographics and care trends that informed policy updates.

• Generated actionable insights by analyzing large volumes of healthcare data, contributing to a 20% reduction in operational bottlenecks and improving overall workflow efficiency.

• Designed routine and ad hoc reports addressing key stakeholder requirements, ensuring data accuracy and consistency across clinical and administrative domains.

• Effectively prioritized and managed overlapping project timelines by categorizing tasks based on urgency and impact, ensuring on-time delivery across multiple healthcare analytics initiatives.

• Adopted an iterative approach to refine dashboards and ETL workflows based on feedback, achieving continuous improvement without disrupting ongoing deliverables.

TCS, India Data Analyst May 2020 – May 2022

• Automated data cleaning tasks using Python scripts to automate data cleaning processes, reducing manual effort by 30%.

• Employed NumPy and Pandas to clean, preprocess, and transform raw data into structured formats suitable for analysis and modeling, reducing data preparation time by 40%.

• Produced insightful reports using Power BI, enabling data-driven decision-making through comprehensive data summaries.

• Monitored the performance of data-related services in AWS and Azure, optimizing configurations to maintain optimal data processing, resulting in a 30% improvement in processing efficiency.

• Improved Excel models for financial analysis, reducing errors by 20% and saving 2 hours per week.

• Optimized SQL Server queries, resulting in a 15% reduction in database response times.

• Created and maintained detailed project documentation, including data flow diagrams and process workflows, to improve knowledge transfer across teams and reduce onboarding time for new team members. EDUCATION

Masters in Data Science; University of Maryland Baltimore County, USA May 2024 Bachelors in Electronics and Communication Engineering; Jawaharlal Nehru Technological University, IND Jul 2021

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