D. Likhitha Email & Phone Number

As a final-year Computer Science and Engineering student specializing in Artificial Intelligence and Machine Learning at the University College of Engineering, Osmania University, Hyderabad, I am passionate about merging my technical expertise with innovative problem-solving to create impactful solutions. My academic journey, has honed my skills in both Software Development and Machine Learning, and I am now eager to apply these skills in a dynamic, high-impact professional environment.Beyond the classroom, I have been actively involved in the IEEE Robotics Club and Sports Club, where I cultivated teamwork and leadership skills. I’ve also demonstrated my Machine Learning(Suspicious Behaviour Detection Project) abilities by participating in multiple hackathons, where I also explored robotics to create impactful day to life solutions(One-armed bot). My enthusiasm for learning and exploring new technologies is matched by my strong communication skills—I’ve even volunteered at a TEDx event at OU, further developing my ability to engage and interact with diverse audiences.With a solid foundation in Data Structures and Algorithms (DSA) and an impressive CGPA of 8.2, I am now focused on securing opportunities in Software Development and Machine Learning roles. I am particularly interested in positions that challenge me to leverage my critical thinking and technical skills to contribute to innovative projects. My ultimate goal is to connect with hiring professionals at leading companies where I can grow, learn, and make a meaningful impact.

• 

  Summer Internship

  Center Of Excellence - Artificial Intelligence

  May 2024 - Jul 2024 - Hyderabad, Telangana, India

  -Project Title: Suspicious Behaviour Detection-Data Collection & Analysis: Collaborated with the team to collect and preprocess large datasets for training machine learning models.-Algorithm Implementation: Implemented advanced algorithms like ResNet50 and YOLOv3 to enhance the precision of suspicious behavior detection.-Model Optimization: Experimented with different model architectures to improve accuracy and reduce false positives in detection results.-Collaborative Development: Worked closely with senior data scientists to refine models and integrate them into the project’s pipeline.-Research & Development: Conducted research on state-of-the-art techniques in computer vision and deep learning to apply innovative solutions.-Performance Evaluation: Conducted rigorous testing and validation to ensure the robustness and reliability of the detection system.-Keywords :Python,OpenCV,TensorFlow,scikit-learn,Numpy,Pandas,Matplotlib,Jupyter Notebooks,Git,Flask