Yeshwanth Rayankula

About Yeshwanth Rayankula

I am a detail-oriented Data Analyst with over 3 years of experience in transforming data into actionable insights to drive business growth. My expertise lies in data mining, advanced visualization (Tableau, Power BI), and robust ETL processes (SSIS), enabling me to optimize data workflows and deliver high-quality analysis. I specialize in data wrangling, integration, and transformation using SQL and Python, ensuring data consistency and integrity across multiple platforms. With a strong background in both relational databases (MySQL, PostgreSQL) and NoSQL (MongoDB), as well as cloud-based data warehouses like Snowflake, I thrive in environments that require advanced data manipulation, statistical analysis, and predictive modeling. Throughout my career, I’ve collaborated closely with cross-functional teams to define data governance standards and enhance decision-making processes, resulting in improved data accessibility and faster time-to-insight. My technical skills span a wide range of tools and technologies, including machine learning frameworks like Scikit-learn, TensorFlow, and Keras, as well as data visualization tools such as Tableau and Power BI. I’m also proficient in cloud platforms like AWS, with hands-on experience using Redshift, DynamoDB, and S3 for data warehousing and storage solutions. Whether working on optimizing data pipelines, building predictive models, or creating impactful visualizations, I am passionate about leveraging data to solve business challenges and drive strategic decisions. Let\'s connect if you\'re interested in how data-driven insights can transform your business!

Experience

1. Data Analyst

   Citi

   Aug 2024 — Present

   Spearheaded data-driven decision-making by collaborating with cross-functional teams to develop effective data models, boosted data accessibility and analysis led to a 20% faster time-to-insight.• Optimized data communication and stakeholder engagement by 15% by optimizing visualizations for clarity and impact through careful customization of colors, labels, and annotations using Matplotlib and Seaborn.• Employed Amazon Redshift to design and optimize data warehouses, improving query performance by 40% and enhancing analytics capabilities for reporting teams.• Generated data cleaning and data wrangling with NumPy, Pandas, and Datetime in Python to merge data, change the data type, remove duplication and null values, and check outliers.• Utilized data exploration efficiency by 25% through the effective application of data manipulation techniques such as blending, joining, filtering, and aggregation to prepare data for analysis and visualization using Tableau.• Designed and implemented machine learning models for predictive modeling, regression, classification, clustering, and time series analysis, addressing complex business challenges and providing actionable insights to drive strategic decision-making.• Successfully extracted and cleaned terabytes of complex data from MySQL and Snowflake data warehouses, implementing rigorous data quality checks and transformations to ensure data accuracy and consistency. This optimization reduced analysis time by 20%.

Education

• Chaitanya Bharathi Institute Of Technology

  Bachelor of Engineering - BE

• University of Maryland Baltimore County

  Master's degree

  2023 — 2024

• sri Chaitanya junior college khammam

  Intermediate (+2)

  2015 — 2017