soma chandra sekhar attaluri

I'm a data analyst who is passionate about turning raw data into useful information. My skills in data collecting, analysis, and visualization enable me to find patterns and trends that help people make well-informed decisions. I bring a strong analytical mentality to every project and am proficient in tools like Python, SQL, and data visualization applications. My objective is to use data to support strategic goals, solve complicated problems, and find data-driven solutions that will help the organization succeed.

As an entry-level engineer in automotive parts research and development, I led a comprehensive project covering data acquisition, storage, processing, and analysis. This hands-on experience spanned various technologies and tools, including SQL, Python, Hadoop, Spark, Kafka, AWS services, and data formats like Avro and Parquet. I managed data from diverse sources, including sensors and production logs, establishing a real-time data streaming pipeline with Kafka. To optimize storage and retrieval, I stored data in Avro and Parquet formats. Python was utilized for data preprocessing and cleaning, and SQL for transformation and aggregation. For insights from large datasets, I harnessed Hadoop and Spark, complemented by Pandas, NumPy, and Seaborn for statistical analysis and visualization. My machine learning expertise with Scikit-learn enabled predictive modeling for automotive parts, and I also applied deep learning algorithms using TensorFlow and PyTorch for image analysis to ensure quality control and defect detection.

Pursuing a Master's degree in Cybersecurity, I undertook a transformative journey with a primary focus on a project centered around Recurrent Neural Networks (RNNs). This project not only fortified my expertise in cybersecurity but also honed my deep learning and neural network skills. By combining the principles of cybersecurity and RNNs, I explored innovative solutions for detecting and mitigating evolving cyber threats, reinforcing my commitment to safeguarding digital infrastructures and sensitive information in an increasingly complex and dynamic digital landscape.