Varshittha Chennamsetti Prospect 33 Data Lab

Varshitha's journey into the world of data science and AI began with an undergraduate degree in Computer Science and Engineering, followed by a master’s degree in Computer Science. While finishing her undergrad, she gained practical experience working part-time as a Python developer on an NLP text classification project.?

Currently based in New York, Varshitha found her passion for data science during her undergrad studies. She explored various fields, but it was the interdisciplinary and constantly evolving nature of data science that captivated her. Through her involvement with the Global Data Lab, she gained a deeper understanding of the finance industry, which complemented her technical skills.

The rapid advancement in AI technology motivated Varshitha to keep learning and mastering standard methodologies. She discovered the Global Data Lab program on LinkedIn and was drawn to it because it offered a bridge between her computer science skills and the finance industry.

The online learning component of the Global Data Lab was particularly valuable, teaching her about finance and software development. She applied techniques like Random Forest Methods and data imputation in real-world scenarios. Weekly discussions with peers and mentors were highlights of the program, providing diverse perspectives and valuable feedback.?

The problem-solving skills Varshitha developed during the program are among the most valuable takeaways. The program broadened her interest in areas like unsupervised learning and advanced supervised methods, influencing her career aspirations and future plans.

Her advice to aspiring AI professionals is to stay open to learning and seek help from mentors and peers, as they can offer valuable insights and solutions.

Outside of her professional life, Varshitha enjoys art and DIY projects like sewing, crocheting, and digital drawing. She also loves cooking her mom’s recipes. She finds that her interest in digital drawing complements her work in data science, particularly in creating visually appealing and user-friendly graphs.

Varshitha’s journey in data science and AI is a testament to the importance of continuous learning and interdisciplinary knowledge. Her story serves as an inspiration for anyone looking to make their mark in the rapidly evolving field of AI and ML.