Prashant Karwasra | Enthusiastic about NLP, AI, and Data Science | Merging Theory and Practice | Shaping the Future with Data

Prashant Karwasra

Enthusiastic about NLP, AI, and Data Science | Merging Theory and Practice | Shaping the Future with Data

Based in Hisar

About

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.

Skills

Projects

Breaking the silence around suicide

Committed to mental health advocacy, I designed a compassionate Telegram Bot. It not only accurately classifies content as "non-suicidal" or "suicidal" with an impressive 97.75% accuracy but also responds with uplifting quotes. Moreover, it ensures a supportive network by alerting close contacts pro

Text2Tale

Revolutionized storytelling by training the computer with diverse storybooks, employing cutting-edge technologies such as LSTMs, GPT, GPT-2, and T5. Showcased innovative storytelling techniques, highlighting mastery in leveraging sophisticated technologies for creative narrative exploration.

Customer Sales Data Analysis

Leveraged my expertise in Data Analysis and SQL querying to conduct an in-depth exploration of customer purchasing behavior. Utilizing advanced SQL queries, I unearthed valuable trends, while my proficiency in Tableau and Excel enabled the creation of visually compelling reports.

Sentiment Analysis of Product Reviews

Achieved a 96% prediction accuracy in sentiment classification for Amazon electrical product reviews. This project facilitated customers by accurately categorizing sentiments (Positive, Negative, Neutral), providing insightful guidance based on shared personal experiences within the reviews.

Education

2020 - 2024

Computer Science Engineering at Indian Institute of Information Technology, Una(Himachal Pradesh)

During my B.Tech in Computer Science Engineering, I delved into a comprehensive curriculum encompassing algorithms, data structures, Discreate Mathematics, Operating System and software development. Rigorous courses in machine learning, databases, and Soft Computing broadened my understanding. Real-world projects and internships honed my skills in applying theoretical knowledge to practical scenarios, providing a holistic foundation for a future in cutting-edge technology.