Rishi Adarsh Rachamalla

About Rishi Adarsh Rachamalla

Data Scientist with around 4 years of experience strategically leveraging advanced analytics and machine learning to drive transformative business solutions. • Proficient in deploying machine learning algorithms such as Linear Regression, Logistic Regression, Decision Trees, Random Forests, SVM, KNN, Gradient Boosting, and CNN to develop scalable and data-driven solutions. • Experienced in utilizing libraries like NumPy, Pandas, Matplotlib, Seaborn, SciPy, TensorFlow, Keras, and Scikit-learn for data preparation, exploratory data analysis, and model development. • Hands-on expertise in working with cloud platforms including AWS, Azure, GCP, Databricks, and Snowflake to design and implement scalable data pipelines and analytics solutions. • Well-versed in creating intuitive and interactive dashboards using Tableau, Power BI, and SSRS to facilitate data visualization and support data-driven decision-making. • Strong background in database management using SQL Server, PostgreSQL, MySQL, and Oracle to ensure efficient data extraction, transformation, and loading (ETL) processes.

Experience

1. Data Scientist

   Fis Global

   Aug 2024 — Present · US

   Worked within Agile methodologies, ensuring on-time project delivery while maintaining flexibility to accommodate evolving business needs.• Developed and deployed machine learning models such as Linear Regression, Logistic Regression, and Decision Trees to optimize business decisions and improve predictive analytics accuracy.• Applied advanced machine learning algorithms, including Gradient Boosting, CNN, and Ensemble Methods, improving model precision by 30% and reducing data processing time for large and complex datasets by 25%.• Designed and deployed deep learning models using TensorFlow and Keras, automating image recognition processes and reducing manual processing efforts by 45%, resulting in faster and more accurate data classification.• Constructed scalable and secure data pipelines using Azure, Databricks, and Snowflake, increasing real-time analytics capabilities by 40% and minimizing data processing latency by 30%.• Advanced and delivered interactive dashboards and reports using Tableau and SSRS, enabling data-driven decision making and boosting stakeholder engagement by 35%, while reducing report generation time by 50%.• Administered relational databases like PostgreSQL and Oracle, ensuring optimal query performance and maintaining data integrity across enterprise systems.

Education

• CVR College of Engineering, Hyderabad

  Bachelor of Technology - BTech

  2018 — 2022

• The University of Memphis

  Master's degree

  2023 — 2024