Tejesh Rudhragiri

Detail-oriented, organized and meticulous employee. Works at fast pace to meet tight deadlines. Enthusiastic team player ready to contribute to company success. Versatile Software Engineer talented at contributing to team-developed projects. Collaborative designer of useful solutions and perfectly customized products. Knowledgeable in programming and gifted at creating unique art. To seek and maintain full-time position that offers professional challenges utilizing interpersonal skills, excellent time management and problem-solving skills. Hardworking and passionate job seeker with strong organizational skills eager to secure entry-level Software Engineer position. Ready to help team achieve company goals.

Project 1: Credit Card Fraud Detection.

• The challenge is to recognize fraudulent credit card transactions so that the customers of credit card companies are not charged for items that they did not purchase.
• Fraud detection is a complex issue that requires a substantial amount of planning before throwing machine learning algorithms at it. Nonetheless, it is also an application of data science and machine learning for the good, which makes sure that the customer’s money is safe and not easily tampered with.
• Technologies Used: Html-5, CSS-3, Bootstrap, JavaScript, JQuery, Java, Oracle.

Project 2: Analysis of Road Accidents.

• Analyze the previously occurred accidents in the locality which will help us to determine the most accident-prone area and help us to set up the immediate required help for them.
• To make predictions based on constraints like weather, pollution, road structure, etc.
• Road Accidents are caused by various factors. By going through all the research papers, it can be concluded that Road Accident cases are hugely affected by the factors such as types of vehicles, age of the driver, age of the vehicle, weather condition, road structure and so on. Thus, we have built an application which gives efficient prediction of road accidents based on the above-mentioned factors.

Full Stack Engineering, Media3 International Pvt. Ltd.

Title : IOT BASED COAL MINE SAFETY SYSTEM USING NODE MCU.

Duration: 3 Months Description:

Generally, there is no advent precautions measure to detect the alarming cause of the coal mine accidents and provide an alert system. which are said to happen inevitably due to technical deficiencies or failures thus an automated alarming coal mine accident detection system is employed to rescue and protect the workers from the hazards. Done by using Node MCU Implementation of Coal mine safety system is implemented using Fire sensor, Gas sensor, LDR sensor, DHT11 sensor to increase the safety of the workers in the coalmine

Title : IOT BASED COAL MINE SAFETY SYSTEM USING NODE MCU.

Duration: 3 Months Description:

Generally, there is no advent precautions measure to detect the alarming cause of the coal mine accidents and provide an alert system. which are said to happen inevitably due to technical deficiencies or failures thus an automated alarming coal mine accident detection system is employed to rescue and protect the workers from the hazards. Done by using Node MCU Implementation of Coal mine safety system is implemented using Fire sensor, Gas sensor, LDR sensor, DHT11 sensor to increase the safety of the workers in the coalmine

• I have Won a 1st position for “Project-Expo” in NSRIT College in my 3rd year.
• I have Won a 2nd position for “WEB DESIGNING” in JNTUV college in my 2rd year.
• I have got a various participation certificate on Dynamic Design presentation from JNTUV, Raghu Engineering college.