NANDA KUMAR REDDY

Data Analyst

Location: TX Phone: 940-***-**** Email: ad3ogo@r.postjobfree.com

PROFESSIONAL SUMMARY

Above 3+ years of experience as a Data Analyst, demonstrated proficiency in Python. Adept at various analytical tasks, including data cleaning, mining, wrangling, statistical analysis, and text mining, utilizing libraries such as NumPy, Pandas, SciPy, and Scikit-Learn.

Used advanced SQL techniques like query optimization, using indexes, and understanding execution plans to enhance database performance in complex scenarios.

Experienced in managing various databases, including Oracle, MySQL, and NoSQL databases like MongoDB and Cassandra. Excels in designing and optimizing database structures, executing ETL processes for seamless integration.

Versatile in project management methodologies, applying both Agile (SCRUM) and Waterfall approaches. Collaborates effectively with cross-functional teams to understand project requirements and deliver results within specified frameworks.

Proficient in creating impactful visualizations using Tableau, Power BI, and MS Excel. Combines analytical and visualization skills to communicate complex findings effectively, catering to diverse stakeholder needs.

Utilized AWS (EC2, S3, Lambda, and ECS) for cloud-based analytics, implementing serverless architecture, and optimizing workflows for scalable data processing.

TECHNICAL SKILLS

Languages:

Python, SQL

Libraries:

NumPy, Pandas, SciPy, Matplotlib, Seaborn, Scikit-Learn

Databases:

Oracle, MySQL, No SQL (MongoDB, Cassandra)

Methodologies:

Agile (SCRUM), Waterfall

Visualization Skills:

Tableau, Power BI, MS Excel

Cloud Technologies:

AWS (EC2, S3, Lambda, ECS)

Analytical Skills:

Data Cleaning, Data Mining, Data Warehousing, Data Wrangling, Statistical Analysis, Data Modelling, Text Mining, ETL

Tools:

Git, Docker, Pycharm

EDUCATION

University of North Texas TX

Master’s in Computer and Information Science Dec 2022

KL University, Vijaywada India

Bachelor’s in Computer Science May 2020

WORK EXPERIENCE

Data Analyst BCBS TX Feb 2023 - Current

Implemented predictive modeling using Python's machine learning libraries Scikit-learn to construct and deploy models for forecasting, classification, and regression tasks, contributing to data-driven decision-making.

Crafted visually compelling and interactive data visualizations using advanced Python libraries like Matplotlib, Seaborn, or Bokeh to effectively communicate analytical findings to both technical and non-technical stakeholders.

Applied advanced SQL techniques, optimizing intricate queries for a 20% enhancement in database performance, resulting in a 15% reduction in query execution time, ensuring swift data retrieval and analysis, crucial for informed decision-making.

Utilized MongoDB's aggregation framework for complex data transformations, achieving a 25% improvement in processing large-scale datasets and generating meaningful insights.

Conducted data cleansing, manipulation, and report preparation proficiently in Excel, employing VLOOKUPs, pivot tables, HLOOKUPs, Macros, and other advanced functions to ensure accurate and insightful data analysis and reporting.

Implemented advanced data security measures, including encryption in transit and at rest on S3 and EC2, ensuring compliance and a 95% reduction in security incidents.

Meticulously designed and optimized data models and relationships within Power BI, resulting in a 30% enhancement in data integrity, fostering heightened precision in insights from interconnected datasets and elevating reliability in analytical reporting.

Data Analyst Trigent India May 2019 – Jul 2021

Developed automation scripts using Python to streamline data processing, cleansing, and transformation tasks, significantly improving efficiency and reducing manual effort.

Utilized Python libraries such as NumPy, pandas, and SciPy to perform sophisticated statistical analysis, hypothesis testing, and machine learning for deeper insights into complex datasets. Applied advanced statistical methods, including hypothesis testing, to conduct in-depth analyses, resulting in a 25% improvement in data-driven decision-making and a 20% increase in the reliability of analytical findings.

Implemented advanced data quality checks and cleansing routines within ETL processes, leading to a 30% enhancement in data accuracy and reliability.

Employed dynamic SQL techniques to construct adaptable queries, ensuring a 25% boost in responsiveness to evolving business needs and user inputs, optimizing data retrieval and analysis in dynamic environments, facilitating swift adjustments.

Leveraged Tableau's robust capabilities for geospatial analysis and mapping, delivering a 30% enhancement in insights derived from location-based data. Representation of spatial trends empowered stakeholders with a nuanced understanding of geographical patterns.

Designed and executed Oracle Data Warehousing solutions, fostering a 25% improvement in analytical reporting capabilities. This strategic implementation accelerated decision-making processes by streamlining access to critical insights, ensuring timely and informed business decisions.

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