I’m a Data Analyst and Machine Learning enthusiast, currently pursuing a Master’s degree in Big Data and High-Performance Computing at the University of Liverpool. My technical skills include Python (Programming Language), SQL, TensorFlow, PowerBI, and Apache Spark, which I use to build data pipelines, develop machine learning models, and create data-driven insights. I specialize in building machine learning models to solve complex problems, helping organizations make informed decisions based on accurate data.During my internship, I automated SQL scripts, saving time in manual data processing, and optimized PowerBI dashboards, and also prepared 5 reports monthly for different original equipment manufactures. My hands-on experience spans data cleaning, predictive analytics, and deep learning algorithms, allowing me to streamline processes and deliver impactful results.I also have experience working with Hadoop and Docker for containerization, ensuring scalable solutions for large datasets. Additionally, I’ve conducted research on quantum machine learning and developed a Text-to-SQL chatbot, demonstrating my ability to solve complex challenges using Natural Language Processing (NLP) and AI.Outside of work, I participate in data science communities and enjoy participating in coding competitions. I have earned 1st place in a university data science competition, where I developed an energy forecasting model using Machine Learning and Statistical Modeling.Feel free to connect with me or reach out via email at annapureddyaravindreddy@gmail.com.Technical Skills: • Programming Languages: Python, SQL, R • Tools & Frameworks: TensorFlow, Docker, PowerBI, Hadoop, Apache Spark • Specializations: Machine Learning, Data Processing, Predictive Modeling, Data Visualization, Natural Language Processing, Deep Learning
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Student | University Of Liverpool | Big Data | Machine Learning | High Performance ComputingUniversity Of Liverpool Sep 2022 - Sep 2024Liverpool, England, United KingdomDuring my Master’s in Big Data and High-Performance Computing at the University of Liverpool, I have developed deep expertise in data science, machine learning, and high-performance computing. My coursework in Big Data Analytics, Data Mining and Visualization, and Machine Learning has equipped me to manage large datasets, extract actionable insights, and build scalable solutions using tools like Python, SQL, TensorFlow, PowerBI, and Apache Spark. The course on Bio-Inspired Optimization introduced me to advanced algorithms like particle swarm optimization, providing deeper insights into solving complex computational challenges. Additionally, Advanced Programming for High-Performance Computing taught me to implement parallel computing techniques using C++ and MPI, enabling faster processing in distributed systems. These courses have strengthened my foundation in both the theory and application of big data and high-performance computing.Through my projects, I further refined my technical skills. For example, I developed a solar energy forecasting model using XGBoost, LightGBM, and Linear Regression, which earned 1st place in a university competition for achieving the lowest Mean Squared Error (MSE). I also built a Text-to-SQL chatbot using Streamlit, SQLite, and Google’s Generative AI, converting natural language queries into SQL statements. Additionally, I created a Convolutional Neural Network (CNN) for age and gender detection, achieving 90% accuracy on a dataset of over 20,000 images, and containerized the model using Docker for scalability. My research on quantum machine learning compared the performance of Quantum KNN and the HHL algorithm with classical methods, highlighting the potential of quantum computing in machine learning. -
Data Analyst Intern | Urban Science | Sql | Sql Server Management StudioUrban Science Jul 2023 - Jun 2024Reading, England, United KingdomAs a Data Analyst Intern, I pioneered the cleaning and standardization of datasets from various sources, implementing automation for SQL scripts, which streamlined data processing and reduce manual data handling. I facilitated the development and delivery of 5 client reports, ensuring data accuracy and quality, directly influencing decision-making for major OEM clients. Additionally, I optimized PowerBI dashboards, improving report delivery efficiency and enabling real-time tracking of key performance indicators (KPIs). My role also involved extensive data preprocessing to ensure data reliability and consistency for reporting. -
Software Development Engineer Intern | Opentext | Javascript | CypressOpentext Mar 2022 - May 2022Bengaluru, Karnataka, IndiaDuring this internship, I implemented automation for data entry and invoicing processes using Cypress (JavaScript), which reduced manual errors and enhanced transaction processing speed. I collaborated closely with team members to design and develop 10 digital forms. This internship facilitated my hands-on experience in process automation and optimization within software development workflows, significantly improving overall efficiency.
Aravind Reddy Annapureddy Education Details
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Big Data And High Performance Computing
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Computer Science And Engineering
Frequently Asked Questions about Aravind Reddy Annapureddy
What is Aravind Reddy Annapureddy's role at the current company?
Aravind Reddy Annapureddy's current role is Post Graduate Student @University of Liverpool | Data Analyst | Machine Learning | Python (Programming Language) | Natural Language Processing (NLP) | Data Science | Data Scientist.
What schools did Aravind Reddy Annapureddy attend?
Aravind Reddy Annapureddy attended University Of Liverpool, Cmr College Of Engineering & Technology.
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