Focus : Data Analysis
Specifications : Data Visualization, Data Analysis
Skills
Technical Skill: Programming Languages: Basic Python, Basic R, Basic Java, Basic SQL,NLP , Data Visualization Tools: Excel, Power BI Software: MySQL, Microsoft Azure, AWS Frameworks: Django, Scikit-learn Platforms: Visual Studio Code, Jupyter Notebook, Soft Skill: Adaptability, Negotiation, Solution-Oriented, Time Management, Team Collaboration, Communication,Languages
English, Hindi, Bengali,Hobbies
Painting ,Sports
Summary
I am a Master's student in Data Science, aspiring to build a career in data analytics.
Education History
Projects
The project is to create a music recommendation system that recommends songs based on the emotional or mood state of the user. The system clusters songs into mood-based categories such as "Happy", "Sad", "Energetic", etc., and recommends songs accordingly.
- Python: For data processing and model building.
- Spotify API: To gather song metadata such as genre, artist, and tempo.
- Scikit-learn: For clustering algorithms to categorize songs based on mood/emotion.
Developed a model to classify movie genres based on descriptions. Applied natural language processing and machine learning techniques. Achieved high accuracy and insightful genre predictions.Used data visualization to understand the data and perform exploratory task.
Spam SMS Detection Created a robust model to classify spam messages. Compared multiple algorithms to identify the best performer and achieved top-notch precision and recall with the BernoulliNB model.