Prashanth Lingarkar

I’m a Data Scientist with 1.5 years of experience building and deploying scalable NLP and CNN models, turning model fundamentals into working systems.

At Deloitte (Analyst, June 2022 - December 2023), I automated repetitive operational tasks, used Ansible for administration and monitoring of enterprise Linux servers, and performed root cause analysis to reduce recurring production issues.

I apply deep learning with a strong NLP toolkit—Transformer Architecture, BERT, GPT, and self-attention—while handling the full data lifecycle (cleaning, normalization, and train/validation/test splits) to keep experiments reliable.

In my projects, I fine-tuned a BERT-based IMDB sentiment classifier and built a real-time Streamlit UI for inference, and I trained a CNN on CIFAR-10 (92% test accuracy) with Streamlit-based image upload and processing. I’m also driven by results, including securing the 94th percentile (Computer Science) and 90th percentile (Data science & Artificial Intelligence) in GATE 2025/2026, and I’m seeking AI Engineering roles that strengthen model development and production infrastructure.