Yashaswi Goud Battula

Hardworking and passionate job seeker with strong organizational skills eager to secure entry-level Data Analyst position. Ready to help team achieve company goals.

• Tally ERP9 Certification Course - 2019
• SAP Certification Course - 2018

Facial Emotion Recognition(FER) April 2024

• Leveraged the FER 2013 dataset, comprising over 35,000 labeled facial images annotated with seven distinct emotions, as a foundation for training and evaluating emotion recognition models12
• Applied state-of-the-art deep learning techniques, particularly Convolutional Neural Networks (CNNs), to improve the accuracy and robustness of emotion recognition from facial expressions12
• Contributed to the ongoing discourse on optimized emotion recognition systems with a focus on tangible real-world applications, recognizing the potential of improved FER systems in various industries12

Memory Forensics and Cyber Threat Analysis Research April 2023

• Conducted comprehensive research on Memory Forensics and Cyber Threat Analysis, exploring techniques to detect and analyze advanced cyber threats.
• Improved proficiency in memory dump analysis, data extraction, and harmful activity detection, adding to the overall field of cyber security.
• Employed a comprehensive approach involving literature review, data collection, analysis, and interpretation. Utilized various memory forensics tools such as Volatility Framework and LiME to analyze memory dumps from different operating systems. Utilized Volatility Framework to examine the memory dumps from multiple operating systems, including Linux, Windows, Mac OS X, and Android.

Netflix Data and Visualization : June 2023

• Conducted an in-depth analysis of the Netflix dataset for the year 2022 using a variety of visualization techniques. Explored insights related to TV shows and movies, focusing on release years, genres, ratings, and popularity among Netflix viewers.
• Employed a range of visualization types including tables, radar charts, bar charts, and line charts to analyze and present findings effectively Derived actionable insights about TV shows and movies' ratings, genres, and release patterns.
• Demonstrated release type trends using an area chart, identifying fluctuations over the years. Visualized total release percentages using a pie chart to showcase the distribution of shows and movies.
• Represented genre-wise releases using a bar chart, aiding content creators and Netflix executives in decisionmaking. Utilized bubble charts to reveal correlations between production companies, genre, and popularity for TV shows and movies.