About Vishnu Sreenivas

  • Are you open to working remotely? Yes
  • Please Enter All Locations You Are Open to Work (each line will be each city, country location)
    United States
  • Allow Profile Promotion To Recruiters/Companies Yes
  • Allow Profile Promotion on Social Media Yes
  • Allow Profile Promotion to Alumni Yes
  • Viewed 1053

About me

A passionate and organized Data Scientist who is interested in guiding critical business decisions, starting from ambiguous problem statements, identifying and accessing relevant data, understanding trends, and building frameworks for end-to-end reporting to drive business-critical metrics and identify key performance indicators.

Languages: Python, R, MATLAB, SQL

Techniques: Machine learning, Time series, Classification, Regression, Clustering, Probability distributions, Deep learning, Statistical analysis, Databases, Data analysis, Data modeling, Data visualization

Data Science: Pandas, Scikit-learn, TensorFlow, Keras, Matplotlib, NumPy, SciPy, Seaborn, Dplyr, Ggplot2

Tools: Tableau, Excel, GitHub, MySQL, WEKA, RShiny, RStudio

 

Education

Experience

  • 2020 - 2023
    Digital Tesseract

    ML & AI Intern

    Analyzed customer data, segmented the customers into 4 key segments, predicted buying behavior of clients, modeled purchase incidence, brand choice of 5 brands and quantity bought.
    Obtained 90% accuracy in estimating sale of audiobooks.
    Examined 30,000 tweets from Twitter to determine sentiment with a custom-built training model.

  • 2020 - 2020
    R.V. College of Engineering

    Machine Learning Research Intern

    Enabled plant reconstruction by applying CNN obtaining an RMSE of 0.05 utilizing OpenCV.
    Implemented K-means clustering and Naïve Bayes to understand and predict 10 plant features.
    Performed histogram analysis of color space with 9 color variants.

Portfolio

 
Required 'Candidate' login to applying this job. Click here to logout And try again
 
 

Answers

 

Job Alerts

 

Account Activation

Before you can login, you must activate your account with the code sent to your email address. If you did not receive this email, please check your junk/spam folder. Click here to resend the activation email. If you entered an incorrect email address, you will need to re-register with the correct email address.