prashantkumaromar,Prashant Kumar,github

Hi there 👋

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Hi 👋, I'm Prashant Kumar

Software Developer and Data Scientist

(My GitHub Repositories)

I am a Data science graduate from the State University of New York at Buffalo, with around 3 years of overall experience in Software Engineering and Machine Learning, currently proactively seeking opportunities in Software Development Engineering (SDE) and Data Science roles. My technology journey is powered by a deep passion and a robust foundation in software development, cultivated through a combination of academic projects and professional experiences. My tenure at Pharmech Technologies, in partnership with Bosch, allowed me to delve into high-impact projects, sharpening my skills as a full-stack engineer. My expertise spans a comprehensive array of tools and languages, including Spring Integration, Javascript, ReactJs, CSS, Python, Java, C++, and Git, among others.

TECHNICAL SKILLS-
Programming: C++, Python, Java, R, JavaScript, Typescript Web Development: Vue.js, React, HTML5, CSS, Flask, Django, Node.js, Express.js, Microservices, Angular 2+ Databases: PostgreSQL, MongoDB, AWS DynamoDB, AWS Aurora ML and Data Analysis: Tableau, PyTorch, Numpy, Pandas, Tensorflow, Librosa Other: AWS, Git, OpenCV, Docker, Kubernetes, Spark, Kafka

Fueled by an unending curiosity, I am a lifetime learner and a tech-enthusiast. I'm always on the lookout for opportunities to use technology to simplify life and create impactful solutions. My foundational years in the tech world began with a Bachelor's and Master’s degree from Indian Institute of Science Education and Research Mohali , India, in 2020. My significant role at Pharmech Technologies working with client Bosch, has prepared me with the necessary skills and experiences to excel in SDE and Data Science roles

🌱 I’m currently solving data structure and algorithm problems on LeetCode
💬 Ask me about anything about Python, Java, and Machine Learning
📫 How to reach me [email protected]
👨‍💻 All my projects are available at my GitHub Repositories

Connect with me:

Longest vs Current Streak

Familiar Languages and Tools:

Prashant Kumar's Projects

customer-churn-analysis_python

Created an innovative library management system with my team, created a user web interface, revolutionized inventory by automating error-prone manual tasks. Using SQL, we centralized data, enhancing efficiency in book allocations and fine accruals by 60%.

linkedin-bot

Automatically Connect with People on LinkedIn and Send a Custom Message (Python Selenium)

news_based_stock_analyzer

A Simple stock recommendation system that reads finance news for you and recommend stocks.

rayleigh_testcase

Publically available unit tests of obfuscated code.

real-estate-classification-analysis-in-r

This R project applies LDA, QDA, Naive Bayes, and KNN methods to classify real estate data. It aims to minimize misclassification rates, using cross-validation for accuracy assessment. The dataset includes quantitative predictors and a categorical response.

real-estate-valuation-analysis-using-linear-modeling-in-r

This R project analyzes real estate valuation, using a dataset with details like house age, distance to MRT stations, and convenience stores. It involves data preparation, exploratory analysis, linear modeling, and cross-validation techniques for developing predictive models of house prices, evaluated by Mean Squared Error.

ridge-and-lasso-regression

Ridge and Lasso Regression are popular shrinkage methods used in statistical modeling and machine learning. These methods are particularly useful when dealing with scenarios where the number of predictors exceeds the number of observations.

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