💫 About Me:

💡 4 years of IT experience as a Data Analyst/Engineer with experience in Data Strategy, Data Mining, Statistical Analysis, Machine Learning, Big Data Analytics, and Data Visualization.

Comfortable with Data engineering and EDA concepts such as Data Flow, Data Normalization, Data Modelling, Data Wrangling, Data Warehousing, and Data Cleaning.

Well-versed with Agile, Scrum, Waterfall Model, and Test-driven Development (TDD) methodologies.

✅ Proficient in Python, R, and SQL.
✅ Extensive knowledge of various machine learning and deep learning libraries.
✅ Hands-on experience with database management.

I am actively seeking full-time employment and am open to relocation in USA. Additionally, I am enthusiastic about remote work opportunities as well that align with my skills and interests. Let's connect and explore how we can make a significant impact together!

✏️ 🔭 I’m currently working on Data Science Job Simulation @BCG

✏️ 🌱 I’m currently learning Databricks and preparing for AWS Solutions Architect-Associate Level exam

✏️ 💬 Ask me about Data Analysis, Data Engineering, Quality Assurance Engineering

✏️ 📫 How to reach me LinkedIn

✏️ ⚡ Fun fact Food, Movies and Travel

👨‍💻 Competitive Programming Profiles:

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📊 Stats:

roysub's Projects

adaboost-implementation

Implementation of AdaBoost algorithm in Python

algorithms

A collection of algorithms and data structures

api-notes

Introduction to APIs - v2

aws-cli

Universal Command Line Interface for Amazon Web Services

chicken-disease-mlops-project

This is a Data Science Project that involves in classification of of Chicken whether they are suffering from a disease known as Coccidiosis. In this project I will use use pictures of Chicken fecal matter pictures and Deep Learning to classify the chickens correctly.