I am Shashank Shirol

IBD Strats Analyst, Goldman Sachs

Worked with the Analytics team of the division to provide data-driven solutions to business problems within the divison and the firm. We employed AI/ML to develop these solutions. I also worked independently on an in-house PDF parser that streamlined a certain documentation process and saved countless man hours. As part of the efforts, I was solely responsible for development, documentation, and presentation of the product to numerous stakeholders throughout the firm.

Research Intern, Nanyang Technological University, Singapore

Worked closely with Prof. Chng Eng Siong on the problem of data augmentation on speech data. We explored a new technique wherein we utilized a GAN (Generative Adversarial Network) to learn a mapping from clean to noisy speech data, so that the trained model can produce noisy variant of an unseen clean sample. We worked in the frequency domain and were able to come up with an efficient model that could be trained with less than 5 minutes worth of clean + noisy samples to learn a mapping.

Link to Bachelor's Thesis

Summer Analyst, Goldman Sachs

Worked closely with the Data Intelligence group of the Investment Banking Division on building an ESG daily digest that scours the Company filings database and tries to extract relevant sections of texts from filings, used numerous NLP techniques to identify important signals.

Summer Research Intern, Manipal Institute of Technology

Worked on Crowd Scene Analysis under Prof. Dr. Karunakar A Kotegar and PhD Scholar Mr. Abhilash K Pai. Studied the various aspects of crowd counting and refined a patch-based crowd-classification model by leveraging Image Processing techniques, and Deep Learning.

As a part of my research work here, I refined a patch-based crowd classification algorithm by experimenting with different patch sizes, classification models, and feature extractors and descriptors (SURF, SIFT, ORB, AKAZE, KAZE, etc.) achieving an accuracy of 92% on the validation set. The program is built upon the bag of words concept that is prominent in Natural Language Processing (NLP).

AIESEC - Clean Up Volunteer

On the World Clean Up day, I volunteered to help clean up some of the dirtiest areas in town. In association with AIESEC Manipal, our team collected well over 500 kilos of ill-discharged waste from around Manipal and helped spread awareness among the general public about the importance of a healthy surrounding.

Ek Sangharsh - Teaching Volunteer

‘Ek Sangharsh’ is a student club working towards bettering the lives of the underprivileged through free school service to the kids. The club frequents nearby government schools and conducts sessions on topics ranging from Mathematics to personal hygiene to something as tabooed as menstruation.

Teach Code for Good - Teaching Volunteer

Teach Code for Good (TCFG) is a student-run club that organizes sessions wherein we, volunteers, teach how to code and to think logically to underprivileged school students. A typical session lasts for about 45 mins where we delve into topics that are pre-decided. Each volunteer teaches a group of, anywhere from, four to seven students.