Ishant Adhikari

About Me

I'm a passionate Machine Learning Engineer with 1 year of hands-on experience in building, training, and deploying machine learning models for real-world applications. I have a strong foundation in Python, scikit-learn, pandas, and data visualization tools like Matplotlib and Seaborn. I enjoy transforming raw data into actionable insights and creating predictive models that solve meaningful problems. With a curiosity-driven mindset, I continuously explore new tools and techniques in the ML ecosystem to stay ahead in this rapidly evolving field.

Projects

1. Movie Recommendation System

A content-based recommendation engine using NLP and cosine similarity to suggest movies based on user preferences.

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2. AGRO Dataset Exploration

Explored agricultural yield data across various crops and regions, uncovering patterns and insights useful for farming policy and productivity analysis.

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3. National Anthem Analysis

Analyzed national anthems from around the world using NLP and word clouds to discover similarities in themes and language across countries.

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4. Web Scraping Books store

Built various web scraping tools using Python libraries like BeautifulSoup to collect structured data from websites for later analysis, cleaning, and storage.

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5. Web Scraping Stocks

Built various web scraping tools using Python libraries like BeautifulSoup to collect structured data from websites for later analysis, cleaning, and storage.

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6. Music Recommendation System (Toy Dataset)

Developed a basic music recommender using a toy dataset to demonstrate recommendation logic and user preference modeling.

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Work Experience

Machine Learning Engineer — Saral Lagani

Duration: June 2024 – Present

Joined as an intern at a fintech startup focused on stock market analytics and later transitioned to a full-time ML Engineer role.
Developed and optimized machine learning models for financial forecasting and stock pattern recognition.
Worked on end-to-end ML pipelines including data cleaning, feature engineering, training, and deployment.
Collaborated with data engineers and software developers to integrate models into production systems.
Used tools such as Git, Jupyter, and MLflow for experiment tracking and version control.

About Me

Projects

1. Movie Recommendation System

2. AGRO Dataset Exploration

3. National Anthem Analysis

4. Web Scraping Books store

5. Web Scraping Stocks

6. Music Recommendation System (Toy Dataset)

Work Experience

Machine Learning Engineer — Saral Lagani

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