kswaviman Goto Github PK

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Name: Swaviman Kumar

Type: User

Bio: Data Science Professional | MS in Data Science | University of Trento, Italy [email protected]

Hey there 👋

I am Swaviman Kumar, a dynamic and innovative Data Scientist with over 2 years of experience specializing in machine learning, NLP, and data analytics, backed by a Master's degree in Data Science from the University of Trento, Italy. Demonstrated proficiency in Python, R, T-SQL, and Azure Data Factory with a proven track record of delivering exceptional results in data-driven projects.

Have a look at some of my projects.

In case we haven't met before 👇

Swaviman Kumar's Projects

authourship-attribution

Authourship attribution with naive bayes using word and ngram

breast-cancer-wisconsin-eda

EDA on breast cancer dataset

build-your-search-engine

A repository to learn basic data processing techniques (Wikipedia processing, feature selection), and use them for some basic Web query classification.

classification-of-patients-with-abnormal-blood-pressure

Employing statistical techniques, conduct a preliminary prognosis of Hypertension/hypotension, based on the level of hemoglobin and genetic history of the individual.

computational-gastronomy

This simple project is focused on Computational Gastronomy & combines elements of data analysis, natural language processing, and information extraction. The assignment covers several tasks that involve working with recipe data and analyzing it using Python.

conjoint-analysis

This project aims to conduct a random survey design for collecting responses regarding wine preferences of Italian consumers. Furthermore, it attempts to understand how preference share gets affected as we vary different attributes associated with wine with the use of a research method called Conjoint Analysis..

cracking-the-personality-code-a-behavioral-research

Our study focused on using the Big Five personality inventory to predict traits from students' smartphone sensor data collected over 2 months under the Horizon Europe project. Through correlation analyses and machine learning with cross-validation, we showed that predictions are reliable and accurate enough for practical use.

eda-clustering-classification-on-stroke-prediction-dataset

Perform Extensive Exploratory Data Analysis, apply three clustering algorithms & apply 3 classification algorithms on the given stroke prediction dataset and mention the best findings.

hello-world

This is a little description about my new hello world prog. Thank you for reading this.

imagesimilarity

Apply machine learning to find top 10 similar images from a gallery folder given a query image.

kswaviman

My Github Readme page

nlp-basics

This is a tutorial that covers the basics of NLP. We will cover few rudimentary operations such as tokenization, stemming etc. Happy learning.

pdf-search-with-gpt

An experiemental project to utilize LangChain and extract information from PDFs, utilizing OpenAI Text Embeddings.

power-bi-report

End to end Business Intelligence Solution analyzing product, sales, finance and customer data. Showases use of advanced MS Power BI concepts, nuances of pivot, hierachy, snowflake schema, DAX and many more.

pyspark-tutorial

This is a tutorial that covers the basics of PySpark. We will cover few rudimentary dataframe operations such as withColumn function, when, otherwise etc. Happy learning.

recommender-system

A therapy recommender system to suggest best suitable treatments for patients based on their past medical records and other patients treatment record.

sales_report_analysis

Developed an SQL Server data warehouse with a 'Production' schema, enabling PowerBI reporting and sales KPI analysis.

social-dynamics-project

The purpose was to study the mood of respondents, what are the predictors of mood among students with different personality types and how do these predictors vary between different time diaries.

sparse-representation-based-classification

The idea behind SRC is that, instead of using a single feature vector to represent an input, multiple sparse representations are used, each one capturing a different aspect of the input.

svms

Predicting Alzheimer from people's writing. Technique: SVMs.

univariate-and-multivariate-analysis-of-titanic-dataset

Univariate and Multivariate Analysis performed on the Titanic Dataset

kswaviman Goto Github PK

Hey there 👋

Swaviman Kumar's Projects

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