An Aspiring Data Scientist
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
MyPortfolio.github.io
July 29, 2025 – September 1, 2025
MyPortfolio.github.io — GitHub repository
View ProjectWeb-Scraping-and-Classification-Web-App
January 28, 2024 – March 29, 2024
This documentation outlines the features and functionality of a web application built with Streamlit, designed to scrape news data from specified URLs or dropdown selections. The scraped data is then classified using a RandomForestClassifier model with a 90% accuracy, trained on a custom dataset created for this purpose.
View ProjectGeminiStreamlitApp
January 19, 2024 – January 19, 2024
Build interactive and visually appealing applications with the power of Gemini API and Streamlit. This repository serves as a foundation for creating data-driven web applications that seamlessly integrate data from the Gemini API while harnessing the user-friendly features of Streamlit for a dynamic and engaging user experience.
View ProjectMastering-Price-Forecasting-ARIMA-Prophet-and-LSTM
October 25, 2023 – October 25, 2023
This repository contains code and resources for mastering price forecasting using three powerful techniques: ARIMA, Prophet, and LSTM neural networks. The goal is to provide a comprehensive guide and practical implementations for time series forecasting, with a focus on financial price prediction.
View ProjectTeachable_Machine_For_Facial_Recognition
June 2, 2023 – September 30, 2023
Teachable Machine provides an intuitive and user-friendly way to create machine learning models for images classification tasks. It allows you to train models directly in your browser by providing examples of different classes and labeling them accordingly. The models can then be exported and used in various applications.
View ProjectKannada-Character-Recoginition
March 4, 2023 – April 18, 2024
Kannada OCR (Optical Character Recognition) with ML (Machine Learning) classification algorithm involves training a machine learning model to recognize and classify Kannada characters from scanned or digital images.
View ProjectCultural Fit Analysis
The candidate's personal projects show initiative and a self-driven learning approach, which can be a positive cultural fit. The diversity of projects, from web scraping to ML applications, indicates a broad interest in technology. However, without team-based project experience or explicit collaboration details, assessing team collaboration and broader cultural alignment is limited.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.