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Darshan Chopra  • Peerlist

Implemented a machine learning model to predict real estate prices using historical data. Leveraged various regression techniques and feature engineering to improve model accuracy.

Real Estate Price Prediction

Exploratory Data Analysis (EDA) on the Shark Tank India Season 1 dataset provided a deeper understanding of the show’s dynamics and investment trends. The visualizations and insights not only reflect the business acumen of the sharks but also highlight the entrepreneurial spirit of the participants.

Shark Tank India EDA

Created a stock screener tool to help users filter stocks based on various financial metrics. Built a user-friendly interface and implemented efficient data retrieval methods.

Stock Screener

🚗 Data Analysis Project: Electric Vehicles EDA! 🌍

I am excited to share my latest data analysis project, where I explored vehicle data over the past decade, applied various analytical techniques, and visualized meaningful insights. This project involved:

🔍 Univariate & Bivariate Analysis:
Conducted in-depth univariate analysis to understand the distribution of individual features such as State, Electric Range, BaseMSRP, Electric Vehicle Type	Clean Alternative Fuel Vehicle (CAFV) Eligibility etc..
Performed bivariate analysis to explore relationships between different variables, revealing key trends over time.

🛠 Data Manipulation:
Efficiently cleaned and transformed the dataset using pandas and NumPy, ensuring data integrity and readiness for analysis.

🌍 Vehicle Position Mapping with Folium:
Mapped the geographic distribution of vehicles using Folium, providing a visual representation of where the majority of the vehicles are sold and located.

📊 Race Bar Chart Visualization:
Created a dynamic race-bar-chart using bar_chart_race to depict year-wise sales of various vehicle models. This engaging visualization helps track how different companies performed over the years.

📂 Tools Used:
Python 🐍
Pandas, NumPy
Folium for mapping
bar_chart_race for dynamic visualizations
Jupyter Notebook & Google Colab
👉 Check out the full project here: https://github.com/Pixer007/Pixer007-DataScience_Projects/blob/main/Electric_Vehicle_EDA.ipynb

I'm thrilled with the results and look forward to applying these skills in future projects. Please feel free to leave feedback, and if you're interested in data analysis or machine learning, let's connect!

#DataScience #Python #DataAnalysis #DataVisualization #MachineLearning #UnivariateAnalysis #BivariateAnalysis #Folium #RaceBarChart #BigData #BusinessIntelligence

Electric Vehicle EDA

Flash Sale API is a backend service for managing flash sales in an eCommerce platform. It handles sales creation, product inventory management, and user transactions, with robust features to ensure smooth operation and performance under load.

Flash Sale API

Developed an automated trading bot capable of executing trades based on pre-defined algorithms. Integrated real-time data feeds and back-tested the bot's performance against historical data.

Algo Trading Bot

ICRTDACI -2025 discusses about featuring the real world applications based on Data Analytics and Computing Intelligence. Highlights how these technologies drive the recent research based on Analytics and Computing Intelligence. It covers unsolved problems across various topics related to Data and Web Mining, Web Analytics, Predictive unsolved Modeling and Regularizing the identified Pattern using Data Analytics and Computational Intelligence.