Machine Learning Artificial Intelligence

Aasritha Pasupuleti Email: ********************@*****.***

linkedIn: https://www.linkedin.com/in/p-aasritha-a11829290 Mobile: 630******* Github: https://github.com/PAasritha

Education

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Keshav Memorial Institute of Technology Hyderabad, India Bachelor of Technology - Artificial Intelligence and Machine Learning; CGPA: 7.7 2021 - 2025 Courses: Operating Systems, Data Structures, Artificial Intelligence, Machine Learning, Natural language processing, Databases

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Sri Chaitanya Junior College Hyderabad,India

Intermediate- MPC, Percentage: 91% 2019 - 2021

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Hindu Public School Hyderabad,India

SSE- CBSE, CGPA: 8.6 2019

Skills Summary

• Technical skills: JAVA, Python.

Front end - HTML, CSS, React.js

Back end - Node.js,Express.js, MYSQL

• Artificial Intelligence and Machine Learning: ML Algorithms and Deep learning.

• Tools: GIT, Agile and scrum practice.

• Languages: Proficient in English, Hindi and Telugu. Projects

• VIRTUAL - INTERNSHIP : Student Intern (Machine learning and Artificial Intelligence Internship) Companies - Codsoft and Codeclause: Gained exposure to various aspects of the industry through active participation in company events, workshops, and attended over 10 training sessions during the internship period and Created projects based on deep learning concepts of AI, machine learning models and natural language processing.

• OTP - Generator and validation. : Restructured a secure OTP (One-Time Password) generation and validation system using JavaScript, ensuring enhanced security for single transactions and login sessions. Implemented robust algorithms to generate temporary, unique passwords, improving the authentication process and safeguarding user data by 100%.

• Frontend : Developed a Netflix clone with ReactJS, HTML, and CSS, successfully mirrored Netflix’s intuitive user interface, boosting user interaction time by 35% and reducing bounce rate by 20% .

• SMS Spam Classification : Built an AI model to classify SMS messages as spam or not using logistic regression, predicting on a dataset containing about 10,000 entries.

• Image Classification: Improved a convolutional neural network (CNN) model, classifying images into predefined categories with 98% accuracy, enhancing image recognition capabilities and boosting data processing efficiency by 40%.

• Chatbot Development: Composed a chatbot capable of engaging in basic conversations with users, enhancing user interaction and providing automated support using natural language processing techniques with 90% accuracy.

• Crop Recommendation Dashboard : Implemented a dashboard to recommend crops based on nitrogen, potassium, and soil moisture percentages with 97% accuracy using Python, HTML, and CSS. Accomplishments

• Led a team of 3 at the 24-hour National level VJ Hackathon 2023, achieving a top 20 finish out of 100+ teams with an agricultural-based project.

• Earned 80% score in the certification of Artificial Intelligence and Scrum in Practice conducted by the Infosys Springboard.

• Completed Data Analytics and Visualization job simulation by Accenture, analyzing and visualizing datasets with over 10,000 entries, providing actionable insights and improving decision-making processes.

• Achieved AWS Certification by completing an intensive training program; mastered cloud computing concepts and tools, enhancing cloud infrastructure deployment efficiency by 40% and reducing operational costs by 15%.

• Earned certification in Generative AI from LinkedIn Learning; enhanced technical skill set and contributed to a 15% improvement in machine learning project outcomes.

Organizing Activities

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NCC-National cadet corps Hyderabad,India

Received A-certification in NCC (2018)

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Member of Rotaract International club of KMIT Hyderabad, India Coordinated approx 12 community outreach events engaging over 500 attendees, to promote social welfare.

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