About Siddhant Gupta

  • 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 413

About me

Hi, I’m Siddhant Gupta and I’m a data science professional with a passion for leveraging data to drive business value. I am currently pursuing a Master of Professional Studies in Data Science at the State University of New York at Buffalo, where I have gained a strong foundation in machine learning, data mining, and big data analytics.

Throughout my career, I have had the opportunity to work on a variety of data-driven projects, from building predictive models for crop yield prediction to analyzing patterns and trends in Chicago crime data. In my previous roles as a data science intern at Verzeo and a researcher at the University at Buffalo, I have honed my skills in data wrangling, statistical analysis, and data visualization.

As I move forward in my career, I am excited to explore new opportunities in data science, data analytics, and data engineering. I am particularly interested in leveraging my technical skills to drive business insights and inform decision-making. If you are interested in connecting, please feel free to reach out to me.

Education

  • - 2023
    The State University of New York at Buffalo

    Master of Professional Studies in Data Science

    Concentration: Data Science (GPA:3.8/4.0) Relevant Coursework: Machine Learning, Data Mining, Big Data Analytics, Data Visualization, Database systems, Deep Learning

  • - 2021
    Manipal University Jaipur

    Bachelor of Technology

    Concentration: Computer Science (GPA: 7.9 / 10.0) Relevant Coursework: Statistics, Python Programming, Machine Learning, Data Science, Economics, Organization and Management, Environmental Management

Experience

  • 2022 - Present
    University at Buffalo

    Researcher

    • Evaluated the accuracy and reliability of quantum uncertainty quantification algorithms in practice using available quantum computers for testing quantum algorithms.
    • Explored the potential of using quantum computers to perform uncertainty quantification computations exponentially faster than today’s high-performance computers

  • VERZEO

    Data Science Intern

    • Collaborated with cross-functional teams to gather, clean, and analyze data
    • Gained experience in problem-solving and critical thinking skills through hands-on application of data science methodologies

Skills

and natural language processing c Communication skills Decision Trees ggplot gradient boosting linear and logistic regression MathCAD Mathematics Neural Networks Octave Power Bi Problem -solving python R Random Forests sql Statistics Tableau
 
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.