Ashish Patel
Data ScientistVadodara, Gujarat, IndiaMember since June 16, 2026
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Binance-Futures-Testnet-Trading-Bot
June 24, 2025 – June 24, 2025
A simple Python trading bot for Binance Futures Testnet with CLI and web interface. Place market, limit, and stop-limit orders safely using testnet funds.
View Projectsoybean-dss
March 1, 2025 – June 24, 2025
The Soybean Decision Support System (DSS) is a machine learning-powered web application that predicts soybean yield and protein content based on key agricultural parameters. Farmers, researchers, and agronomists can use these insights to optimize productivity and enhance crop quality.
View ProjectNetflix-Stock-Trading-Game
February 23, 2025 – February 23, 2025
The Netflix Stock Trading Game is an interactive stock trading simulator built using Streamlit. It allows users to buy/sell Netflix (NFLX) stocks, track their portfolio, and predict future stock prices based on historical trends. The app provides AI-generated trading recommendations and displays candlestick charts for visual analysis.
View ProjectSimilix-Image-Similarity-Search
February 19, 2025 – February 25, 2025
Similix is an image similarity search application built using deep learning models for feature extraction, FAISS for similarity search, and Streamlit for the UI. The application allows users to upload an image and find the most similar images from a pre-processed dataset containing various objects like bikes, cars, cats, dogs, flowers, horses, and
View Projectsoq-solver-cramer
November 28, 2024 – November 28, 2024
This project is a System of Equations Solver built using Cramer's Rule in Python with Streamlit. It allows users to input and solve systems of linear equations in real-time by visualizing them as matrices and generating solutions for variables x , y , z, etc.
View ProjectEmissions-Predictor-using-MLR
November 21, 2024 – November 28, 2024
CO2 Emissions Predictor is a machine learning project that uses a Multiple Linear Regression (MLR) model to predict the CO2 emissions of vehicles based on their specifications, such as engine size, cylinders, and fuel consumption.
View ProjectEmissions-SLR-Predictor-Streamlit
November 21, 2024 – November 28, 2024
CO2 Emissions Predictor uses a Simple Linear Regression (SLR) model to predict vehicle CO2 emissions (g/km) based on engine size. This lightweight and efficient model provides quick and accurate insights for understanding emissions trends and promoting eco-friendly decisions.
View ProjectSpam-Classification-Model-Application
November 18, 2024 – November 28, 2024
This is a Machine Learning application built with Python and Streamlit that classifies emails as spam or ham (not spam). It leverages a trained ML model to analyze text input and predict whether the email is spam or not.
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and demonstrate a strong interest in data science and machine learning. The diversity of projects (trading bots, spam classification, image similarity, yield prediction) indicates a broad curiosity and willingness to explore different domains. However, without information on collaborative projects or professional experience, assessing team collaboration or alignment with specific company culture is difficult. The focus on personal projects suggests a self-starter mentality.
Soft Skills & Operational Fit
The provided data does not contain sufficient information to assess soft skills or operational fit. The candidate's project descriptions are clear and concise, indicating good written communication.