Harshal Patil

Data Scientist • ML Engineer

Hello I 'am Harshal

1. I am a fresher Data Scientist and Machine Learning Engineer with a strong foundation in statistics, programming, and data analysis.
2. I have hands-on experience in Python, SQL, and machine learning libraries like Pandas, NumPy, Scikit-learn, and TensorFlow.
3. My academic projects include building predictive models, data visualization dashboards, and end-to-end ML pipelines.
4. I am passionate about solving real-world problems using data-driven approaches.
5. I am eager to learn, adapt quickly, and contribute to innovative projects in the field of AI and data science..

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Location
Pune, India
Email
patilharshal0303@gmail.com

About me

As a recent BCA graduate, I am focused on developing my skills in Data Science and Machine Learning. I have hands-on experience with Python, Pandas, NumPy, Scikit-Learn, and TensorFlow. I am motivated by solving problems with data and continuously learning new techniques to improve models and analytics. During my academic projects and self-learning journey, I have worked on real-world datasets to build predictive models, perform data visualization, and extract actionable insights. I enjoy exploring data patterns, optimizing algorithms, and applying machine learning techniques to solve complex problems. I am eager to contribute my analytical skills, technical knowledge, and enthusiasm for data-driven solutions to meaningful projects in the field of AI and ML. My goal is to grow as a competent Data Scientist and create solutions that make an impact.

Projects

🏠 House Price Prediction

Built a machine learning model to predict house prices based on features like area, number of rooms, location, and amenities. Implemented data preprocessing, feature engineering, and regression models to achieve accurate predictions.

Tools: Python, Pandas, Scikit-learn, Matplotlib, Seaborn

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📈 Stock Market Trend Prediction

Developed a machine learning model to predict stock market trends using historical price data and time series analysis. Implemented ARIMA and LSTM models for forecasting and compared performance with visualization of predicted vs actual prices.

Tools: Python, Pandas, Scikit-learn, TensorFlow/Keras, Matplotlib

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📰 Fake News Detection

Built a machine learning model to classify news articles as FAKE or REAL using Natural Language Processing (NLP). Implemented text preprocessing, TF-IDF vectorization, and Logistic Regression to achieve high accuracy in detecting misinformation.

Tools: Python, Pandas, Scikit-learn, NLTK, TF-IDF, Logistic Regression

🔗 View Project

Certifications

PYTHON


📩 Contact-Me

“I am eager to contribute to your team and explore opportunities in Data Science & ML.” :

✨ Harshal Patil | Aspiring Data Scientist & ML Engineer