kallind,KallindSoni,github

👋 Hello there! Welcome to my GitHub profile!

I'm a passionate student with a background in Data Science, on a journey to explore the limitless possibilities of data. 📊💻

Here, you'll find my projects and repositories that reflect my love for:

🔍 Data Exploration: Uncovering hidden insights in data.
🧠 Machine Learning: Building predictive models and AI solutions.
📊 Data Visualization: Communicating data stories effectively.
🧪 Experimentation: Trying out new data science techniques.

I'm constantly learning, experimenting, and pushing my boundaries to stay at the forefront of this dynamic field. Feel free to explore my work, ask questions, or collaborate on exciting projects. Let's connect and geek out over data together! 🚀

Connect with me on LinkedIn(https://www.linkedin.com/in/kallindsoni/) for more in-depth discussions and collaborations. Cheers! 📈🔬🚀

KallindSoni's Projects

aai-project

super tic-tac-toe

bike-rental-analysis-and-forecasting-

Bike Rental Data Analysis Using Power BI Dashboard and forecasting using AR , MA , ARIMA and SARIMA models.

churn-analysis

Telco Churn Prediction and Analysis Explore our Telco Churn Analysis project, where we employed logistic regression and Power BI for churn prediction and insightful data visualization. Discover churn drivers and actionable insights for customer retention strategies.

ecommerce-app-cloud

This is a Ecommerce website made using React as the frontend and using AWS Services like Lambda, dynamoDb etc. for the communication of the frontend to the backend

liverockpaperscirssorclassification

Used CNN to build the model and then OpenCV to capture and predict live using the webcam

market-profile

Market Profile Analysis with Python Analyze stock data using Python, yfinance, NumPy, Pandas, Seaborn, and Matplotlib. Identify trading activity distribution, key price levels, and trends. Explore the code and notebooks to leverage Market Profile analysis for smarter stock investments.

plant-leaf-disease-classification

Using CNN to classify healthy and diseased leaves of corn maize

semantic-search-based-medicine-recommender-with-langchain-google-search-agent

A complex pharmaceutical recommendation system that makes use of cutting-edge technologies like LangChain for dynamic information retrieval, Neo4j for effective data storage, and SBERT for semantic embedding.

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