rajeshvhankade,RAJESH VHANKADE,github

👋 Hello, I'm Rajesh!

I'm a passionate computer engineering graduate with a keen interest in data science and its applications. During my Bachelor's in Computer Engineering, I developed a strong foundation in software development, algorithms, and problem-solving.

🔭 What I'm Currently Working On:

LangChain News Research Tool: An End-to-End NLP Project for Equity Research Analysts

🌱 I'm Currently Learning:

Advanced machine learning techniques and Generative AI Cloud computing platforms for scalable data processing

💼 Previous Experience:

Data Science Intern at Yess InfoTech

• Conducted data analysis and performed exploratory data analysis (EDA) on various datasets.

• Developed machine learning (ML) models for predictive analytics and classification tasks.

• Collaborated with cross-functional teams to deploy machine learning solutions into production environments.

• Contributed to the development of a fraud detection model, reducing false positives by X%.

🎓 Education:

Bachelor of Engineering in Computer Engineering

📫 How to Reach Me:

LinkedIn: https://www.linkedin.com/in/rajesh-vhankade-ab7627215/

Email: [email protected]

⚡ Fun Fact: Fun Fact: Did you know that the term 'data scientist' was coined as recently as 2008? It's a rapidly.

Let's connect and collaborate on exciting projects together!

RAJESH VHANKADE's Projects

blackcoffer_assignment

Web scraping and NLP assignment: Extracts text from URLs, analyzes content, computes variables. Perfect for honing web scraping and NLP skills.

house_value_prediction

Predict house prices with ML Explore regression techniques in Python. Start predicting house values and uncovering actionable insights today.

nasa_asteroid

This project utilizes machine learning algorithms to analyze NASA's Near-Earth Object Program datasets and predict various attributes of asteroids, including trajectory, composition, and potential impact hazards.

rajeshvhankade

Config files for my GitHub profile.

stockpredict-forecasting-stock-prices-with-linear-regression

Using linear regression, this project predicts stock prices based on historical data like past prices, trading volume, and market trends. By training on historical data and testing, it aims to forecast future prices, although stock prices can be volatile.

text-summarization-project

Text summarization condenses text into brief summaries, revolutionizing information processing in the digital age.

travel-recommendation-system

TravelRecommend: ML-based travel planner using K-means & recommendation algorithms. Personalized suggestions, real-time updates, and user feedback for tailored travel experiences.

world-cup-dashboard-bi

Power BI dashboard analyzes World Cup player stats to identify top performers globally. Interact to compare, explore, and gain insights into player performance.

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