DEEPTHI VELICHARLA

Highly-motivated employee with desire to take on new challenges. Strong work ethic, adaptability, and exceptional interpersonal skills. Adept at working effectively unsupervised and quickly mastering new skills.

Logical Associate Software Developer with 1 years of experience delivering customized IT solutions to boost business operations. Expert at translating plans for business growth and specific needs into improved system designs. Employed knowledge of new technologies to suggest improvements to existing systems and new hardware.

• I designed Robotic arm based on IOT and got first prize in our college projectra with cash prize of 5000/.
• Received an organizational level commendation and 5 star rating from client in TCS for completing the functional and testing in the less amount of time.

IJEDR (ISSN: 2321-9939), REAL TIME AND LOW COST IOT BASED FARMING USING RASPBERRY PI, Explored the implementation of IoT-enabled farming for efficient agriculture. Focused on real-time observation and efficient use of the cheapest security systems. The features of this research including sensor data monitoring using soil moisture sensor which is responsible for measuring moisture of the field, water level sensor which is liable for detecting flooded water, pH sensor which is accountable for measuring pH of the soil and Temperature and humidity in the atmosphere.

TATA CONSULTANCY SERVICE(Training Project), Manual testing, Healthcare, QA Engineer, Gitlab, Squish, SQA Team is responsible for Validating end to end features of Eternus Series Storage Enclosures/Arrays of GE with different servers and Drives from Vendors. Automating the test cases regarding X Ray and Raising the merge request After the merge request is approved we need to push the executed into GIT and write the code from GIT. Eternus Series Enclosures comes with inbuilt components like BMC, BIOS and CPLD which makes Storage array can be maintained as a stand-alone Server and storage in place. TRU PROJECTS (Internship Training Project), Python, Numpy, Pandas, The effect of vaccination coupled with the behavioural response of the population is not well understood. Our model incorporates two important dynamically varying population behaviours: level of caution and sense of safety. Level of caution increases with infectious cases, while an increasing sense of safety with increased vaccination lowers precautions. In this we are propose unsupervised machine learning algorithm called KMEANS clustering to predict people’s reaction on COVID19 vaccines. To implement this project we are using tweets dataset on COVID19 vaccines from KAGGLE website. If Dataset contains unstructured text data and then by applying NLTK and then will extract peoples sentiments describe in each tweet and then generate train and test data for unsupervised clustering. IOT BASED ROBOTIC ARM, Developed a robotic arm using IoT technology. The main part of the project is the robotic arm, which can pick and place things from one place to another. To control this action we can move the robotic arm by giving specific commands. The robotic arm is equipped with servo motors. These motors help to move the arm in desired direction. The motors are controlled with the help of a micro controller(FRDM KL25Z). The user interface which is used to control the robotic arm is made on a web page or an app. The control is given via the internet to the wifi module(ESP8266). This acts as the receiver and gives the received signal to the microcontroller.. The signal which is given to the robotic arm is actually sent through the internet. Won first prize in the college project competition, with a cash prize of 5000/-.

• Python, Audisankara college of engineering and technology
• MATLAB, Audisankara college of engineering and technology

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