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Achievement: YOLOAchievement: QuickdrawAchievement: Pull Shark

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Achievement: YOLOAchievement: QuickdrawAchievement: Pull Shark

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Samarth1337/README.md

Hello! I'm Samarth Saxena 👋

Data Scientist | AI Engineer | Machine Learning Engineer | Full-Stack Builder | Software Engineer |

Portfolio LinkedIn

About Me

I don’t just train models; I build the infrastructure, the pipelines, and the user-facing products that make them useful. I operate with a "ship-it" attitude, bridging the gap between a model in a Jupyter notebook and one thriving in the chaos of production.

  • Education: Master of Science in Applied Data Science from USC (GPA: 3.9/4.0) and B.Tech in Computer Science from Manipal University Jaipur (CGPA: 9.17/10.0).
  • Currently: Data Scientist at Cloud9 Esports, where I act as a team-of-one and develop AI solutions for the company, driving revenue, accelarating growth and creating impact.
  • Philosophy: Complexity is often just a lack of initiative. I pride myself on being the person who unblocks the team by building the solutions from scratch.
  • Current Focus: Build, build and build some more.

Annual Activity

Snake animation

Tech Stack

Programming & Core Languages

Python SQL C++ JavaScript TypeScript Java Scala Bash Tailwind

AI, LLMs & Machine Learning

Gemini Claude Llama2 LangChain RAG Fine-Tuning HuggingFace Reinforcement Learning Computer Vision BERT XGBoost n8n

Full-Stack, SWE & DevOps

Flask SQLAlchemy REST API AsyncIO Docker GitHub Actions Git Unit Testing

Cloud, Data & Infrastructure

GCP AWS Azure Airflow Spark PostgreSQL MongoDB DBeaver Linux

Libraries & Specialized Tools

Pandas NumPy PyTorch TensorFlow Keras FFmpeg Postman Jupyter ElevenLabs

Featured Projects

Nuclear and Aviation Safety using NLP

Award: Best Project & Best Data Science Developer (CKIDS DataFest ‘23 USC) Automated the outlining of safety trait violations in Nuclear Plant reports using a GuidedLDA model that learns from domain-specific "seed words".

RAG Docu-’Mentor’ ChatAI

A TA bot designed to replace a course assistant, capable of processing uploaded PDFs and generating conversational responses using FAISS, Llama 2, and HuggingFace embeddings.

Session-Based RecSys with Continual Learning

Solved for Concept Drift and Catastrophic Forgetting in a 1M+ interaction dataset. Outperformed LSTM models by 7% using sliding windows and replay buffers.

Yelp Recommendation System

Implemented Locality Sensitive Hashing (LSH) and collaborative filtering on the Yelp dataset to achieve a high prediction accuracy (RMSE: 0.978).

Neural Network from Scratch

Built a layer-by-layer neural network using only NumPy, implementing backpropagation and optimization without high-level ML libraries.

Let's Connect

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  1. Bradley-Fayyad-Reina-BFR_Clustering_Algorithm_Python Bradley-Fayyad-Reina-BFR_Clustering_Algorithm_Python Public

    In this project, I have implemented the Bradley-Fayyad-Reina (BFR) algorithm for clustering synthetic datasets. The goal of this assignment is to gain familiarity with the clustering process, diffe…

    Python

  2. Community_Detection_using_Girvan-Newman_in_Spark Community_Detection_using_Girvan-Newman_in_Spark Public

    In this project, I explored community detection in social networks using the Yelp dataset. Leveraging Spark GraphFrames and implementing the Girvan-Newman algorithm, I aimed to detect communities o…

    Python

  3. Emulate_HDFS_MapReduce Emulate_HDFS_MapReduce Public

    This project is a Python-based implementation of the Hadoop MapReduce software framework for processing large datasets using a distributed and parallel approach.

    Python

  4. Real-time-Stock-Price-Analysis-and-Algorithmic-Trading Real-time-Stock-Price-Analysis-and-Algorithmic-Trading Public

    This project is a sophisticated system designed for real-time stock price analysis and algorithmic trading. It comprises two main components: data collection, storage, and preprocessing (Part 1), a…

    Python

  5. Web-Scraping-Analysis-Clustering-on-Real-time-data Web-Scraping-Analysis-Clustering-on-Real-time-data Public

    This project aims to perform data analysis and clustering on the Reddit Tech forum. It involves web scraping, data preprocessing, topic selection, clustering algorithms, and real-time data processi…

    Python

  6. Yelp_Data_Analysis_using_Spark Yelp_Data_Analysis_using_Spark Public

    In this project, I ran a comprehensive exploration of Yelp's vast dataset to uncover valuable insights into user recommendations and business dynamics. Leveraging Spark, a powerful distributed comp…

    Python