Manjitha Mudiyala

Detail-oriented, organized, and meticulous employee with a strong desire to secure and excel in a full-time position that presents professional challenges. Proficient in utilizing interpersonal skills, excellent time management, and problem-solving abilities to drive successful outcomes. Enthusiastic team player eager to make valuable contributions towards the overall success of the company.

• Published an article to 2024 International Conference on Data Science and Network Security (ICDSNS).
• Programming for everybody authorised by The University of Edinburgh and Code Yourself by The University of Michigan offered through Coursera.
• C++ course in Infosys-springboard IOT.
• Embedded Systems by The University of California offered through Coursera.
• Particated in coding challenge CodeGoda 2022.
• Did course on AWS Cloud Practitioner Essentials under AWS skill builder platform.
• Participated in Flipkart runway-season 2.
• Participated in TECHNOTHRONE event as part of INFINITY 2K22 organised by OSMANIA UNIVERSITY.
• Been a part of WISE (Women In Software Engineering) conducted through college under Talentsprint

Automated Invigilation System for Offline Exam Monitoring     [Mar'23 - Feb'24]

• A more reliable, efficient, and technology driven system to monitor and analyze activities during offline examination. The system exploits advanced deep learning techniques like YOLOV8 Algorithm to detect and identify suspicious activities using real time data set.

Intrusion Detection in Software Defined Networks    [Mar'23 - Nov'23]

• ML techniques are utilized to analyze and detect anomalous behavior within the SDN infrastructure. By employing supervised learning models, such as Naive Bayes, KNN, Decision Trees, and Random Forests, the system learns to distinguish between normal and malicious network activities. The evaluation of the proposed ML-based IDS is conducted using simulated SDN environments and InSDN dataset.

Seawise Giant    [Apr'23 - May'23]

• Created a user interface project to predict whether or not a passenger survived the sinking of the Seawise Giant - Python packages (Numpy,Pandas,matplotlib,sklearn,seaborn), Gradio, GUI(tkinter)

Medhanvesh    [Mar'23 - Apr'23]

• A website was made for our college students' TechFest 2023. It consists of list of events held along with their registration details. It is also provided with responsiveness and is hosted - HTML, CSS, JavaScript, BootStrap.

Discord Bot     [Feb'23 - Feb'23]

• I developed a bot in Discord and secured 3rd place in the ChatGPThon 24-hour hackathon at the Medhanvesh Students Tech Fest, winning a cash prize. The bot was created using GPT-3, OpenAI, and JavaScript. It leveraged GPT-3 for natural language understanding and generation, andseamlessly integrated with the Discord API for smooth interaction. JavaScript was used for the backend, ensuring robust functionality and
  responsiveness, featuring advanced conversational abilities, real-time data fetching, and contextual awareness.

Climate Counts    [Apr'22 - May'22]

• A project was developed using ReactJS to search for current climate conditions and display their longitude and latitude values. This functionality was achieved through API integration. The technologies used for this project include HTML, CSS, JavaScript, ReactJS, and Firebase.
  

• Participated in Affiche in Enthusia-2k22
• Participated in Toastmasters as a part of Medhanvesh 2k21
• Played basketball in InterCollege level sports event held in BVRITN,GNITS