Open to opportunities

Anand Chavan

@anandchavan1

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Data Scientist with expertise in machine learning and data analysis.

India

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What I'm looking for

Seeking a Data Scientist role where I can apply machine learning and data analysis to solve complex problems, preferably in a collaborative environment that values innovation and data-driven decision-making.

I am a detail-oriented Data Scientist with a strong foundation in machine learning and data analysis, dedicated to leveraging data to drive informed decision-making. My experience at Netzwerk AI has equipped me with hands-on expertise in predictive modeling, sentiment analysis, and data visualization, where I successfully enhanced customer retention and marketing effectiveness.

During my academic journey, I earned a Master of Technology in Computer Science from Bharath University and a Bachelor of Engineering in Computer Science from Pune University. These programs honed my technical skills and provided a robust understanding of algorithms and data structures.

I have a passion for developing predictive models and analyzing complex datasets to uncover actionable insights. My projects, such as crop yield prediction and footwear product trend analysis, showcase my ability to apply machine learning algorithms to real-world problems, achieving high accuracy and driving business impact.

Experience

Work history, roles, and key accomplishments

Data Scientist Intern

Netzwerk AI

Dec 2023 - Sep 2023 (-1 years 9 months)

Conducted customer sentiment analysis towards the stock market and developed predictive models using machine learning algorithms. Enhanced data quality through web scraping and optimized sentiment analysis models, significantly improving marketing effectiveness and customer engagement.

Python Pandas NumPy BeautifulSoup Machine Learning Data Analysis SQL Power BI AWS

Crop Selection and Prediction

Self Project

May 2023 - Jul 2023 (2 months)

Developed predictive models using machine learning algorithms to enhance productivity through a recommendation system. Achieved 90% accuracy in forecasting crop yields by analyzing a dataset of over 10,000 rows.

Machine Learning Data Analysis Python Pandas NumPy Data Visualization Statistical Analysis

FootWear Products Analysis

Self Project

Jan 2023 - Apr 2023 (3 months)

Analyzed a database of 3,000 footwear product listings to identify trends in high-demand products. Developed data processing techniques using Python and visualized results with Matplotlib and Seaborn.