Adwaith Kalugotla

Accepting the challenge of today’s fastest developing industry by utilizing all the knowledge, skill, experience and making a mark of my own. To find something I am passionate about and give it my 100%.

• Date of Birth: 10/11/01
• Gender: male
• Father's Name: Kalugotla Venkata Srinivasa Rao

• played cricket for 10 years of my life and also represented the state team in India
• lost 30 kilogram's in the year 2022
• trained swimmer
• lead my Valorant e-SPORTS team to achieve number 1 team in the state of Hyderabad,India and dominated the e-SPORTS scene for 6 years.

I am a person of deep passion and unwavering dedication. Once I set my heart on something, I pour my entire being into it, giving it my all without reservation. My drive is rooted in the understanding that hard work is the key, especially when natural talents aren't in abundance. I've come to value the sweat and determination that go into achieving my goals. On top of that, my athletic abilities define me – I possess a remarkable physical agility and thrive on pushing my limits. Whether it's putting in extra hours or taking on challenges that demand more, I've learned to embrace flexibility and adaptability. To me, this journey is all about embodying passion, resilience, and the willingness to evolve, inspiring those around me to do the same.

Certifications: Udemy Certificates:

.AWS CCP (cloud practitioner certification)

· Machine Learning A-Z: Python & R in Data science

· The Complete Cyber Security course: hackers exposed!

Under 14 Hyderabad cricket association certified team player ( best 14 in the entire state )

Best bowler in first ever VVS laxman cricket tournament

• Gym
• badminton
• cricket
• cooking
• running
• listening to music

Stock Price Prediction Website:

• Developed a website utilizing machine learning algorithms including Support Vector Machine (SVM) for stock price prediction.
• Integrated traditional trading indicators such as Bollinger Bands and 20-day Simple Moving Average (SMA) for enhanced prediction accuracy.

Fraudulent Credit Card Transaction Detection Website:

• Designed and implemented a website to detect fraudulent credit card transactions using machine learning models.
• Ensured real-time detection capabilities to prevent financial losses for users.

Cybersecurity Research on Phishing and Cyber Attacks:

• Conducted extensive research on phishing attacks and various cyber threats to identify patterns and preventive measures.
• Published findings in [mention any conferences/journals] contributing to the field's knowledge base.