I'm a final-year student pursuing a B.E. in Information Science and Engineering at R.V. Institute of Technology and Management. I'm passionate about data engineering and eager to build innovative solutions that leverage the power of data. My coursework and projects have provided me with experience in developing ETL pipelines, designing data warehouses, and applying machine learning techniques to solve real-world problems. I'm a quick learner, a dedicated worker, and I thrive in collaborative environments where I can contribute to challenging projects. I am excited to apply my skills and knowledge to a challenging and rewarding data engineering internship.

• Developing ETL pipelines using Python and Spark to process large datasets and improve data processing efficiency.
• Contributing to data warehouse design on AWS, utilizing services like S3, Redshift, and Glue.
• Building and deploying data-driven applications that leverage cloud infrastructure and optimize performance.
• Automating data quality checks and implementing monitoring solutions for data pipelines.
• Improving data transformation and data cleaning processes for better data quality.

• Apache Spark and PySpark: For large-scale data processing and analytics.
• AWS Cloud Services: Deep diving into services like Lambda, Kinesis, and EMR for serverless and big data processing.
• PostgreSQL: Advanced SQL techniques and database optimization for data warehousing.
• Databricks: To streamline data engineering workflows and collaborate on data science projects.
• AWS Redshift: For efficient data warehousing solutions and performance tuning.
• Airflow for workflow management and automation.
• Docker and Kubernetes for containerization and deployment of data engineering applications.

• Open-source projects related to Data Engineering, ETL processes, or Data Warehousing.
• Projects that involve building and deploying data pipelines on cloud platforms.
• Opportunities to contribute to data infrastructure and improve data processing efficiency.

• RainbowKids - Marketing Intern (Oct. 2023 - Jan. 2024)
  • Developed targeted advertisements and implemented SEO strategies that increased website traffic by 15% and improved search engine rankings by 10%.
  • Oversaw marketing campaigns that resulted in a 12% increase in revenue, demonstrating the effectiveness of implemented strategies.
• yHills - Cyber Security Intern (Oct. 2022 - Dec. 2022)
  • Performed security assessments on Windows 7 systems using tools like Kali Linux and Metasploit, identifying 20+ vulnerabilities.
  • Delivered detailed reports on identified security weaknesses, contributing to remediation efforts and enhanced system security.

• AI Resume Analyzer and Job Finder (GitHub Link) (May 2024 - Jul. 2024)
  • Developed an AI system using Python, Streamlit, TensorFlow, NLTK, and BeautifulSoup for resume parsing, job description analysis, and matching candidates with suitable job openings.
• Apartment Management System (GitHub Link) (Nov. 2023 - Feb. 2024)
  • Developed a system for managing apartment complexes, including tenant and lease management, maintenance request tracking, and automated billing using PHP, MySQL, HTML, CSS, and JavaScript.
• Stock Prediction Using ML (GitHub Link)
  • Created a machine learning model to predict stock prices using Python, TensorFlow, Keras, pandas, and scikit-learn; included data preprocessing, time series forecasting, and performance visualization.
• Topic Modelling and Document Clustering (GitHub Link)
  • Implemented text preprocessing, LDA for topic modeling, and K-means clustering using Python, Gensim, and scikit-learn to organize and analyze large text datasets.

For a complete list of all projects, please refer to my GitHub profile.

• Connect with me on LinkedIn: https://www.linkedin.com/in/abhyudith-bharadhwaj-047b99252/
• Send me an email: abhyudith03@gmail.com

• I'm an avid chess player and have led my college team to state-level tournaments.

• R.V. Institute of Technology and Management - B.E, Information Science and Engineering (ISE) (May 2025)
  • Relevant Coursework: DBMS, OOPS, Data Structures and Algorithms, Computer Networks, Data Warehousing, Data Mining

• Achieved Institute Rank 5 on GeeksforGeeks.
• Led the Men's Chess team to the State-level VTU tournament.