Passionate data enthusiast pursuing a Master’s in Data Science at Northeastern University. Experienced Full Stack Developer skilled in optimizing digital experiences and implementing backend solutions. Proficient in Python, Java, and Machine Learning. Eager to contribute innovative insights and solutions in the dynamic field of data science.
LinkedIn Profile: https://www.linkedin.com/in/bharathgajula/
Resume:
Professional Introduction (Elevator Pitch)
“Hello, I’m Bharath Gajula, a Data Science Master’s student at Northeastern University with a rich background in Full Stack Development from Oracle. I’ve collaborated with bank clients to enhance digital experiences and optimize transaction processing.
My expertise spans object detection using YOLO, and I have hands-on experience in developing and implementing various deep learning algorithms. As a Machine Learning Intern at Nokia Networks, I established scalable pipelines, contributing to improved efficiency and classification accuracy.
With a focus on analytics and a deep dive into data science, I bring a versatile technical toolkit, including proficiency in Python, Java, TensorFlow, PyTorch, and OpenCV. My dedication to optimizing processes, coupled with a collaborative mindset, has driven success in my past endeavors.
Currently seeking opportunities in Data Science, I am eager to apply my skills in supervised machine learning, data management, and processing. I would love to connect and explore potential collaborations or job opportunities, bringing my analytical skills and passion for innovation to a dynamic team.
Link to the video: https://app.biginterview.com/s/interviews/1976606
Tell Me About Yourself:
I am Bharath Gajula, currently pursuing a Master’s in Data Science at Northeastern University in Boston. My academic foundation includes a Bachelor’s in Electronics and Communication Engineering from BMS College of Engineering, where I explored courses in Machine Learning, Deep Learning, and Operating Systems.
In my professional journey, I served as a Full Stack Developer at Oracle, collaborating with bank clients to enhance digital front-end experiences. My responsibilities involved implementing back-end Java and Oracle SQL enhancements, optimizing transaction processing speed, and refining internal operations.
As an AI Intern at Upskillz-IIT Kharagpur, I specialized in deep learning algorithms, contributing to improved pixel classification accuracy. Additionally, I led a successful social media campaign, increasing data collection participants and enhancing dataset quality for advanced model training. My role as a Research Assistant at BMSCE focused on implementing advanced data processing techniques and feature extraction algorithms, contributing to enhanced model performance.
During my Machine Learning Internship at Nokia Networks, I established scalable pipeline automated processes, achieving improved efficiency and classification accuracy. Projects included applying preprocessing techniques to enhance tenure prediction accuracy, leading to substantial cost savings.
Project-wise, I designed and implemented a Taxi Database Management System, enhancing cab booking and ride management using SQL. My Real-Time ASL Translation project showcased my abilities in preprocessing and feature extraction, contributing to improved CNN model efficiency.
Proficient in various programming languages such as Python, C, C++, Java, and familiar with tools and libraries like TensorFlow, PyTorch, and OpenCV, I bring a comprehensive skill set. In summary, my academic background and hands-on experiences position me as a versatile candidate in data science and machine learning, eager to contribute to innovative projects and make a meaningful impact.