Varun Suresh

About Varun Suresh

Passionate about leveraging technology to drive innovation and solve real-world challenges, I am a dynamic professional with a diverse background spanning research, entrepreneurship, and software development. In my current role as a Research Assistant at Northern Illinois University, I collaborate with an interdisciplinary team to conduct experiments focused on the impacts of different light wavelengths on plant growth, nutrition, and flavor. My responsibilities include utilizing Python for data collection, analysis, and visualization, ultimately driving data-driven insights that inform our experimental process. Prior to this,I gained valuable experience as an Associate Software Developer at Accenture Pvt. Solutions Ltd, where I participated in the full software development life cycle (SDLC), built comprehensive front-end and back-end modules using Python and the Django Web Framework, and created and modified various SQL queries, functions, cursors, and triggers to meet client requirements, ensuring efficient data manipulation and management. As the Founder and CEO of Veza Services, I have led the strategic direction of the company, introducing a cutting-edge mobile application that revolutionizes the connection between skilled technicians and customers. I fostered a culture of innovation, driving the development of our application\'s functionality and implementing an enterprise sales strategy for maximum customer value. Through effective communication and leadership, I have built and led a diverse team to excellence, emphasizing teamwork and legal compliance. With a passion for learning and a track record of delivering results, I thrive in fast-paced environments where I can collaborate with cross-functional teams to drive impactful outcomes. I am excited about opportunities to continue pushing the boundaries of innovation and making a meaningful impact in technology. Let\'s connect and explore how we can collaborate to drive positive change together.

Experience

1. Research Assistant

   Northern Illinois University

   Sep 2023 — Present · DeKalb, IL, US

   Employed Python for data collection, analysis, and visualization, generating data-driven insights that informed the experimental process, resulting in a 25% acceleration of data processing and analysis.• Developed a deep learning model using Convolutional Neural Networks (CNNs) to classify images of plants into categories of fully grown, barely grown, or not grown.• Curated a dataset of plant images with labels for growth status, ensuring a balanced distribution across categories.• Implemented data augmentation techniques (Used Image Data Generator) such as rotation, flipping, and scaling to enhance model generalization.• Fine-tuned hyperparameters using grid search and Bayesian optimization techniques to optimize model performance.• Documented the model development process, including data collection, preprocessing, model architecture, and evaluation metrics, for reproducibility and future enhancements.

Education

• Lovely Professional University

  Bachelor of Technology - BTech

  2018 — 2022

• Northern Illinois University

  Master of Science - MS

  2023 — 2025