Summary
Overview
Work History
Education
Skills
My Projects
Interests
Websites
Languages
Certification
Generic
Sumit Kumar

Sumit Kumar

Jamshedpur

Summary

A curiosity-driven data science student, eager to leverage machine learning and data analytics to extract meaningful insights, make informed decisions, and solve challenging business problems. I ensure to contribute with my knowledge, logical thinking, and analytical skills towards the consistent growth and development of the organization, and enhance my experience through continuous learning and teamwork. Persuasive communicator with exceptional relationship management skills with the ability to relate to people at any level of business and management; highly ethical, trustworthy, and discreet; Adroit in learning new technologies.

Overview

1
1
year of professional experience
1
1
Certification

Work History

Data Science Intern

AI Varient
Bengaluru
07.2022 - 01.2023
  • Data mining or extracting usable data from valuable data sources
  • Using machine learning tools to select features, create and optimize classifiers
  • Carrying out preprocessing of structured and unstructured data
  • Processing, cleansing, and validating the integrity of data to be used for analysis
  • Developing prediction systems and machine learning algorithms

Education

B.Sc. - IT

Karim City College
07.2017

Data Science -

ExcelR Solutions
Bengaluru
10.2022

Skills

  • Statistics
  • Machine Learning
  • Python
  • Tableau
  • SQL
  • Computer Skills
  • Good Work Ethic
  • Active Listening
  • Problem Resolution
  • Critical Thinking
  • JavaScript

My Projects

  • Gold Price Forecasting

Evaluation Accuracy: 0.96 

•Developed a classification algorithm, to predict the gold price for the next 30 Days, using the Holts winter Algorithm. The dataset consisted of 5 years of Gold Price, carrying out Preprocessing, cleansing, and validating the integrity of data to be used for analysis. Applied Different model and time series techniques to train the model.

  • Hotel Review Analysis

 Evaluation Accuracy: 0.98 • Grown a classification model, to know the sentiment of the review given by the travelers to the hotel and elements of their hotel influence more in forming a positive review improvings hotel brand image. The dataset contains about 20K reviews using the Logistic Regression model for the sentiment analysis and TfidfVectorizer for the elements to improve in hotels Not liked by the traveler.

Interests

Photography, Music, Cooking, Video Games, Artificial Intelligence

Languages

English
Intermediate
B1
Hindi
Upper Intermediate
B2

Certification

  • Data Science certification, ExcelR Solutions. - 10/2022
  • Machine Learning with Python, IBM- 12/202
Sumit Kumar