ARKA

Machine Learning Engineer & Full Stack Developer

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About & Skills

The Identity

I'm a dual degree graduate specializing in Machine Learning and Data Science with a strong foundation in full-stack development. My technical journey spans from developing deep learning models to building responsive web applications.

With experience in PyTorch, pandas, and the React ecosystem, I hunt down complex problems at the intersection of data science and software engineering. I'm particularly driven to create intuitive interfaces for complex systems.

Achievements

  • LeetCode 1500+ rating (Top 15% globally)
  • Won Code Relay 3.0 Hackathon organized by IIT Bhubaneswar

Education

Data Science

IIT Madras

2023 - 2027

Computer Sciene and Engineering

Kalyani Government Engineering College

2023 - 2027

The Arsenal

Languages

PythonCTypeScriptSQLGoRust

Frameworks/Libraries

PyTorchReactFlaskExpress.jsTensorFlowPandasNumPyNLTKOpenCV

Tools

DockerGitHub ActionsESLintJupyterGit

Concepts

E2EECI/CDREST APIsWeb3Data StructuresNLPStatistical Modeling

The Cases

A selection of my recent missions spanning machine learning, data science, and web development.

Data Ingestion AWS

Data Ingestion AWS

CSV Processing System with AWS and Terraform. Utilizes AWS Lambda, S3, DynamoDB, and LocalStack.

AWSTerraformHCLData Processing
Customer Profiling

Customer Profiling

Customer Segmentation and Profiling using K-Means Clustering and DBSCAN.

PythonMachine LearningClusteringKmeansDBSCAN
Used Car Price Prediction

Used Car Price Prediction

Jupyter Notebook project for predicting used car prices using statistical modeling and machine learning.

PythonJupyter NotebookStatistical ModelingMachine Learning