Sejal Kankriya (SejalKankriya)

SejalKankriya

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Location:New York

Home Page:https://sejalkankriya.github.io

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Sejal Kankriya's repositories

satellite-image-dehazing

Enhancing satellite image clarity by removing haze using AOD-Net's deep convolutional and residual architectures

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academiQ-AI

Revolutionizing real-time academic support with a custom LLM-driven AI, enhancing learning outcomes through adaptive, efficient query resolution

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clinical-trials-survival-analysis

A survival analysis study of ovarian carcinoma patients involved in clinical trials using R

License:MITStargazers:1Issues:1Issues:0

reinforcement-learning-grid-world

Implementing a reinforcement learning agent in a grid world that earns rewards and faces penalties

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third-eye

AI-based 360-degree object detection and assistance for visually impaired people

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customer-insight-clustering

Advanced analytics in R to delineate market segments in retail, optimizing targeted marketing strategies through customer behavior and demographic profiling

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dine-smart

Dine Smart is a database management system offering tailored restaurant recommendations by leveraging Yelp data

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football-market-value-forecast

LSTM-based model for predicting football players' market values using historical performance data and relevant variables

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glassdoor-job-scrapper

Automated Selenium-based scraper for extracting and analyzing job listings from Glassdoor

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youtube-video-summarizer

A Streamlit app that utilizes LangChain and Google PALM to generate concise summaries of YouTube videos, enhancing content accessibility and comprehension

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hierarchical-clustering-USCrime

Analyzing US crime statistics using hierarchical clustering to uncover patterns in state-level arrest data

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interactive-covid19-vizualization

An interactive dashboard using R and Plotly to visualize and explore COVID-19 data trends and insights

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interactive-iris-analysis

Explore the Iris dataset through interactive visualizations using R and Plotly to uncover patterns and insights in flower species data

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logistic-regression-from-scratch

Implementation of Logistic Regression from scratch to predict the sex of penguin based on species, island and age using Python, Jupyer Notebook, Numpy, Pandas, Matplotlib

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ny-car-crash-analysis

An interactive Power BI dashboard analyzing New York car crash data, with data cleaning and preprocessing performed in Python.

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pca-smoking-analysis

Analyzing demographic influences on smoking habits in the UK using Principal Component Analysis

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sejalkankriya.github.io

Showcasing my development journey: Projects, insights, and innovations in tech. A glimpse into my journey as a software developer and data scientist.

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vanilla-numpy-linear-regression

A Vanilla Numpy-only Linear and Ridge Regression implementation to predict the flight prices

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