With a strong foundation in data science, I transform raw data into insights and build AI-driven, user-centric applications.
Fueled by innovation, I create scalable solutions that make an impact..
def AboutMe():
Hello, I’m Swarnim – a Python developer and Machine Learning enthusiast with a strong foundation in Data Science, AI, and Machine Learning. With expertise in Python, Django, SQL, and cloud technologies, I build scalable and intelligent solutions.
I’ve worked on diverse projects, including a symptom checker chatbot, hate speech detection models, stock analysis tools, and real-time traffic prediction systems. I’ve also explored MongoDB, Generative AI, and open-source contributions, continuously expanding my technical skills.
I am actively seeking opportunities in Machine Learning, Data Science, Generative AI, and AI Research, where I can apply my skills as a Python Developer to create impactful and innovative solutions
Resume
class Skills:
Tech Stack
Python
Django
FLASK
SCIKIT LEARN
R
Google Cloud
MySQL
PostgreSQL
MongoDB
GIT
Docker
AWS
PowerBI
Pandas
Numpy
TensorFlow
for project in Projects:
ManimCursor – Text to Math Animation
ManimCursor turns your text into 2D math animations using Manim. Just type, and it generates the code and video—perfect for educators, creators, and learners.
Transformer
Built a minimalist Transformer-based language model from scratch using PyTorch, focusing on architecture design, optimizer configuration, and empirical scaling behavior. Explored the impact of model size and dataset scale on loss convergence and generalization.
RLHF-FineTuned LLM
Fine-tuned a GPT-2 model on custom instruction data, trained a reward model based on human preferences, and applied Proximal Policy Optimization (PPO) to align the model's outputs with desired behavior. Demonstrated improvements in helpfulness and safety over the base model.
IPL Player Analysis
IPL Player Performance Analysis: A data-driven analytics project built with Python and Pandas.
Analyzes player statistics, batting and bowling performance, and trends using historical IPL data to provide insights and predictions.