Machine Learning Data Analysis

Saikrishna Jajula

Mobile: +1-513-***-**** E-mail: ***************@*****.*** / ********@****.**.*** Linkedln: www.linkedin.com/in/sai-krishna-jajula-67892a156

Education

University of Cincinnati (UC), Cincinnati, Ohio, United states of America Master of Science, Information Technology

GPA: 3.98 (January 2023 – April 2024)

Technology skills and competencies

Programming Languages: C, Java, Python

Data Warehousing: Snowflake

Database Management: SQL, PLSQL

Oracle tools: Oracle APEX

Machine Learning: TensorFlow, scikit-learn, PyTorch Cloud platform: AWS

Data Visualization: Tableau, Power BI, Matplotlib, Seaborn. Data Analysis Tools: Pandas, NumPy, scikit-learn.

Big Data Technologies: Hadoop, Spark, Apache Hive

Version Control: Working knowledge of version control systems such as Git for collaborative data analysis projects Operating Systems: Kali, Linux, Metasploitable

Human-Computer Interaction and Usability: To design intuitive interfaces, used concepts like user engagement, consistency, and feedback. Professional Experience and Responsibilities

Oracle pl/sql Developer: Virtusa consulting services, India ( July 2020 – January 2023)

• Spearheaded the research, design, and implementation of business applications utilizing Oracle RDBMS, with a primary focus on Oracle SQL/PLSQL and Oracle APEX to develop user interface screens based on Citibank requirements. Maintained robust software solutions tailored to Citibank’s needs, enhancing expertise in Oracle database management, which is foundational to many enterprise-level applications.

• Delivered high-performance solutions through rigorous database architecture and optimization, including the development and deployment of stored procedures, triggers, cursors, indexes, views, performance tuning techniques, and packages

• Developed and optimized SQL/PLSQL scripts to extract, transform, and load (ETL) data, ensuring efficient data processing and retrieval. Performed in-depth data analysis using advanced SQL/PLSQL and Oracle analytics, implementing rigorous data validation and cleansing for integrity, collaborating on cross-functional data requirements, and optimizing performance through advanced query tuning.

• Engineered scalable Snowflake data warehousing solutions with optimized ETL processes, leveraging advanced Snowflake features and PL/SQL for efficient data ingestion, transformation, storage, and integration with diverse data sources and BI tools. Conducted data modeling and schema design in Snowflake to support complex analytical queries and reporting requirements.

Process Executive: NVIDIA, India (November 2019 – May 2020 )

• Development & Integration: Contributed to LIDAR and RADAR sensor development and integration for autonomous vehicles, ensuring compliance with specifications and standards. Executed precise calibration and rigorous testing of sensors for optimal performance and reliability across varied conditions.

• Data Analysis: Analyzed sensor data with advanced algorithms to enhance object detection and classification in autonomous systems. Worked with software engineers, hardware designers, and data scientists to refine sensor algorithms and integration.

• Quality Assurance: Applied QA protocols and conducted performance evaluations to maintain high sensor standards.

• Documentation: Documented processes, calibration results, and testing procedures; provided reports to stakeholders. Identified and implemented improvements to enhance sensor integration and testing efficiency Tools

• Bitbucket, Jira, Oracle Apex, CITI Confluence, IBM udeploy Academic Projects

Heart Attack Predictor: Unravelling Cardiovascular Insights with Machine Learning:

• The "Heart Attack Predictor" project utilized machine learning algorithms to predict heart attacks based on patient data. Its primary objective was to identify individuals at high risk and tailor preventive strategies accordingly. the project aimed to improve cardiovascular health outcomes by enabling healthcare professionals to intervene more effectively in cases of heightened risk, ultimately reducing mortality and morbidity rates associated with heart disease.

• the user interface (UI) of a web application designed for forecasting heart attack events based on user-entered personal data.

• final output provided by the application, where users are presented with the severity of their heart attack risk based on the data they input.

Perform a successful spoofing attack on a Metasploitable machine using Kali Linux tools:

• Conducted comprehensive scans with Python and Nmap to gather data on target system's open ports, services, and OS version, enhancing vulnerability understanding. Proficient in utilizing Kali password-cracking tools for breaching system passwords, enabling remote access; adept at employing cyber spoofing techniques for identity concealment and leveraging Kali Linux tools for spoofing attacks and monitoring communication using Wireshark; demonstrated expertise in social engineering tools for phishing attacks to extract sensitive information. Achievements and certifications

• Oracle Database Sql Certified Associate

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