Experience

Associate Data Scientist

Tekion Corp, Bangalore

Data Science Intern

Tekion Corp, Bangalore

Summer Intern

Samsung Research, Bangalore

My team and I analysed RAN KPIs and identified correlation among them to ease the monitoring process for network operators. I also built a dynamic model which detects anomalies in real time, over existing statistical models which require storing multiple scaling parameters for each unit of data. Achieved an accuracy of over 90-97% for a few critical KPIs.

We also built a model to identify root cause(accountable raw KPI) for any anomalies in critical KPI.

Mentor at CHAOSS

GSoC'20

I mentored Venu Vardhan Reddy Tekula on his project for Google Summer of Code'20 with CHAOSS.

The project involved building Quality Models for various metrics, making it easier to assess the health of opensource projects and communities. As a mentor, my responsibilities included providing suggestions and feedback and guiding Venu over the course of the project.

Undergraduate Researcher

Medical Image Classification Research

I worked under Dr. Amit Dua and Murari Mandal to obtain significantly improved results on medical radiology image classification. The focus of the study was on the Stanford MURA dataset.

The dataset was part of an online competition held by Stanford University. The study tests conventional techniques like vanilla CNNs and compares them to the performance of the state-of-the-art model by Stanford. It also discusses a few other approaches which I tried but were not significant and did not perform as well as I had initially hoped.

The study examines another technique which uses the concept of Attention. Finally, the project attempts another approach by combining a DenseNet with a Hierarchical Attention Network and then concludes by suggesting potential strategies which may give promising results.

BlockChain Intern

E-governance, Telangana

I worked under the Emerging Technologies wing of Telangana, e-governance. I was a part of the Blockchain District Initiative team, whose aim was to facilitate in the growth of blockchain development in Hyderabad, and to reach the government's goal of making Hyderabad the blockchain hub of India.

I worked on several areas of the project, like designing the structure and content for the official website, organizing the first Blockchain District meet-up, curating a list of all major organizations involved in blockchain technology and analyzing trends in the data. I also performed a comparative analysis of established blockchain hubs around the world with Hyderabad's upcoming hub.

Student Developer at CHAOSS

GSoC'19

I was accepted as a Google Summer of Code student for CHAOSS. My project dealt with analyzing data fetched via Perceval and creating reference implementations for CHAOSS metrics. I extensively used Pandas, Matplotlib and Jupyter notebooks. More information about my project can be found here.

Teaching Assistant

Computer Programming, BITS Pilani

I was selected for the post of teaching assistant for the introductory programming course at Bits Pilani, which covers the basics of C and the Unix command line. As a teaching assistant, my duties included conducting lab sessions as well as a once-a-week doubt-clearing session with my students. Along with furthering the depth of my understanding, this opportunity helped me improve my leadership and communication skills.

Machine Learning Intern

CereLabs

My first internship. I tested several models for denoising and deblurring images of printed text. I tested several NLP models and finally went with conditional random fields to improve parsing of addresses into sub fields. I used Openstreetmap data for this.

Member of the Backend and Machine Learning Department

ACM, BITS Pilani

I was part of the backend web development team as well as the Machine Learning team. I worked to design fest websites with Django and conducted a backend web development workshop with my team. As part of the ML team, we created basic projects, that dealt with a core idea of ML to improve our understanding of the field.

Backend Developer and ML Enthusiast

Coding Club

I became a member of this club in my first year at BITS Pilani. I was a backend web developer for a while, but then also joined the ML team. I worked on the backend part of several websites, especially those of fests and other major events. In my second year, I helped the new first year recruits get a good grasp of Django, the Unix command line and git.

The ML team organized a hackathon and encouraged its members to pursue team and individual projects.