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Memphis, US, PHONE NUMBER AVAILABLE, EMAIL AVAILABLEProfessional summaryAssistant System Engineer with a proven track record in developing and maintaining Motivated and detail-oriented Data Engineer and Python Developer with over 2 years of experience in data management, software development, and analysis. Skilled in Python, SQL, SAP ABAP, and various data processing technologies. Proven expertise in building and optimizing data pipelines, developing scalable applications, and performing in-depth analysis to drive business decisions. Seeking opportunities to apply skills in a dynamic team-oriented environment and ABAP programs, enhancing SAP functionalities Employment historyAssistant System Engineer, 2022 - 2023Tata Consultancy Services Developed and maintained ABAP programs to enhance SAP functionalities, improving operational efficiency by 20% in the project. Collaborated with cross-functional teams to gather requirements and implement solutions, ensuring seamless integration with SAP modules. Optimized existing ABAP code to reduce system processing time by 15%, contributing to faster report generation and data retrieval. Conducted thorough testing and debugging of ABAP programs to ensure high-quality deliverables and minimize post- deployment issues. Implemented custom SAP reports and interfaces using ABAP tools, addressing specific business needs and improving decision- making capabilities. Provided ongoing support and maintenance for SAP applications, resolving issues promptly and ensuring continuous system performance.EducationMaster's in Information Sciences, 2023 - PresentChristian Brothers University, MemphisBachelors in Electronic& Communication Engineering, 2018 - 2022 R.V.R&J.C COLLEGE OF ENGINEERINGSkillsABAP (Experienced), Python (Experienced), Java (Skillful), HTML (Expert), CSS (Experienced), JavaScript (Experienced), SQL (Expert), MySQL (Expert), SDLC (Expert), Pandas (Expert), NumPy (Experienced), Matplotlib (Skillful), scikit-learn (Skillful), PyTorch (Experienced), Linux (Experienced), Git (Experienced), SVN, AWS (Skillful), Azure (Skillful), Google Cloud (Skillful), Tableau (Experienced), Power BI (Expert), Data Warehousing (Expert), Pipeline Optimization (Expert), ETL Processes (Experienced).InternshipsAssistant System Engineer trianee, Feb 2022 - Jul 2022 Tata Consultancy ServicesData Pipeline DevelopmentDesign, build, and maintain scalable and efficient ETL (Extract, Transform, Load) pipelines to process large datasets. Automate data ingestion and ensure smooth data flow between systems. Data Architecture DesignDevelop and optimize data architecture to support business needs. Ensure the architecture is flexible enough to integrate new data sources and technologies. Database ManagementCreate and manage data storage solutions such as databases and data lakes (e.g., MySQL, PostgreSQL, MongoDB, AWS S3). CoursesData Analyst, Sep 2022 - Jun 2023IBMPython for Data Science and AI, Nov 2021 - Aug 2022 CourseraGoogle Cloud Professional Data Engineer, Aug 2023 - May 2024 COURSERALanguagesENGLISH (Highly proficient), TELUGU (Highly proficient), SPANISH (Novice). ProjectsHealth Diagnosis Classification SystemAI-Powered Medication Recommendation SystemWeb based E-commerce system integrated with chat bot The main aim of this project is to develop a website which allows people to buy physical goods, through an e-commerce website, a business can process orders, accept payments, manage shipping and logistics, and provide customer service and it is integrated with chatbot. Software used : Python, HTML, CSS, JavaScript, PHP, SQL, AWS Sales Performance Analysis (Power BI Project)Hobbiesplaying cricket, watching movies, Solving Python puzzles, Learning about new data technologies, Cooking Biryani Developed a machine learning-based classification system using Python for data preprocessing and model training. Collaborated with team members on improving the systems accuracy and scalability. tools and technologies: Data Collection and Management Tools, Database Management Systems (DBMS), Data Preprocessing Tools, APIs for Health Data, Machine Learning and Classification Models Built a recommendation engine using Python and cloud integration for large-scale data processing. Led data engineering efforts to ensure clean and reliable data inputs for the model. tools and technologies: Data Collection and Management Tools, Database Management Systems (DBMS), Data Preprocessing Tools, APIs for Health Data, Machine Learning and Classification Models Created an interactive Power BI dashboard to analyze sales trends, identifying key performance drivers. software use : power bi, Data Source Connections, Power Query Editor, Visualizations in Power BI