Prashant Karwasra

India
January 10, 2003
Data Analyst data visualization deep learning excel machine learning power bi SQL tableau
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About Candidate

Greetings! I’m Prashant Karwasra, currently in my final year at the Indian Institute of Information Technology, Una. Specializing in Machine Learning and Deep Learning, my academic journey features impactful projects. I possess a profound understanding of cutting-edge architectures such as LSTM, GRU, BERT, T5, and GPT, gained through extensive exploration and application in diverse projects. Beyond academics, I showcased proficiency in SQL, Excel, and Tableau for customer sales data analysis. My dynamic interest in data science is evident through tools like Tableau, Excel, and Power BI for compelling data presentations. I aim to contribute as a data analyst or scientist, highlighted by my academic publication on ‘Suicidal Text Detection for Prevention’ at TENCON 2023.

Location

Education

B
Bachelor of Technology 2020 - 2024
Indian Institute of Information Technology, Una(Himachal Pradesh)

Throughout my B.Tech in Computer Science and Engineering, I pursued a comprehensive curriculum that provided a strong foundation in both theoretical concepts and practical skills. The key courses included: 1. Data Structures and Algorithms: In-depth study of fundamental data structures and algorithms crucial for efficient problem-solving. 2. Object-Oriented Programming (OOP): Understanding the principles of OOP and application of concepts in software development. 3. Database Management Systems (DBMS): Learning the design, implementation, and management of relational databases. 4. Computer Networks: Exploring the architecture, protocols, and communication in computer networks. 5. Operating Systems: Understanding the core concepts and functionality of operating systems. 6. Software Engineering: Studying methodologies and practices for systematic software development. 7. Web Technologies: Exploring web development technologies, including HTML, CSS, and JavaScript. 8. Artificial Intelligence (AI): Introduction to AI concepts, machine learning, and their applications. 9. Machine Learning: In-depth study of machine learning algorithms and their practical implementations. 10. Natural Language Processing (NLP): Understanding and working with techniques for processing human language by computers.

Portfolio

Skills

Tableau
80%
Power BI
75%
SQL
78%
Excel
75%
Machine Learning
85%
Deep Learning
84%

Awards

S
Suicidal Text Detection on Social Media for Suicide Prevention Using Deep Learning Models 2023
My academic pursuits extend to publishing a paper titled "Suicidal Text Detection on Social Media for Suicide Prevention Using Deep Learning Models" at TENCON 2023, IEEE Region 10 Conference. This publication presents a groundbreaking approach to address the pressing issue of suicidal content on social media platforms. Leveraging advanced deep learning models, including LSTM, GRU, and BERT, the study focuses on detecting and preventing the spread of suicidal text. The proposed models exhibit promising results in identifying such content, offering a crucial tool in suicide prevention efforts. This research not only showcases technical expertise but also underscores a commitment to utilizing technology for the betterment of society, emphasizing the potential for positive impact through innovative applications of deep learning in mental health awareness.

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