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About me:

Working as a Data science trainee in Almabetter with strong math's background and have experience using predictive modeling, data visualization, data preprocessing and data mining algorithms to solve challenging business problems. Involved in Python open source community, SQL, Statistics and passionate about machine learning and deep learning. Looking forward to data science opportunities. Expertise in python, SQL and machine learning.

Seeking opportunities in the field of Data Science/Data Analyst.

Experience

Worked on multiple industry based projects:

  1. Book Recommendation System: Developed a robust book recommendation framework using memory and model based Collaborative Filtering by utilizing the ratings of books and the various user features.
  2. Cardiovascular Risk Prediction: The objective of the project is to come up with the machine learning model to predict whether a patient has 10-year risk of developing coronary heart disease (CHD) using the residents of the town of Framingham, Massachusetts dataset.
  3. Yes Bank Stock Price Prediction: The dataset has monthly stock prices of the Yes Bank since its inception and includes closing, starting, highest, and lowest stock prices of every month. The main objective is to predict the stock’s closing price of Yes bank for next 3 years.
  4. Face Emotion Recognition: I have built a deep learning model which detects the real time emotions of students through a webcam so that teachers can understand if students are able to grasp the topic according to students' expressions or emotions and then deploy the model.

Education

BE in Computer Science 

From Smt. Indira Gandhi College of Engineering, Navi-Mumbai

(2016-2020)

CGPA: 7.54

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