Summary
Overview
Work History
Education
Timeline
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Onkar Thorawade

Onkar Thorawade

Summary

Data Scientist Dedicated and detail-oriented Data Scientist with excellent communication and interpersonal abilities. attempting to use a solid command of intricate mathematical ideas and programming expertise in a data scientist position bringing a computer science Bachelors degree and solid research skills.

Overview

1
1
year of professional experience

Work History

Data Scientist

05.2024 - Current
  • Job Recommendation Engine
  • A job recommendation engine is designed to suggest relevant job postings to users based on their profiles, skills, experiences, and preferences
  • Such systems aim to match job seekers with the most suitable job opportunities, improving both user satisfaction and the efficiency of the recruitment process
  • User Profile Matching: Recommendations based on user's resume, skills, job history, and preferences
  • Job Description Analysis: Parsing job postings to understand required skills and qualifications
  • Collaborative Filtering: Recommendations based on similar users' preferences and activities
  • Content-Based Filtering: Recommendations based on matching user's skills and experiences with job descriptions
  • Natural Language Processing (NLP): Understanding and matching textual information from resumes and job descriptions.

Data Scientist

EXCELR
01.2024 - 04.2024
  • Project: Customer Personality Analysis
  • Customer personality analysis helps a business to modify its product based on its target customers from different types of customer segments
  • Finding the potential customers by analysing the behaviour of them is useful to understand the targeted customers
  • For example, instead of spending money to market a new product to every customer in the company’s database, a company can analyse which customer segment is most likely to buy the product and then market the product only on that particular segment
  • Clean the dataset by handling missing values, outliers, and necessary transformations
  • Create graphs and interactive dashboards to illustrate findings
  • Conduct hypothesis testing and regression analysis to validate trends
  • Train and evaluate models to make predictions
  • Compile insights into a detailed EDA report with visualizations
  • Prepare a concise presentation to share key findings and recommendations with stakeholders.

Education

B.E - Computer science

SKN institute Sinhgad
Lonavala, Pune
01.2012 - 1 2016

Higher - undefined

Yashwantrao Chavan College of Science
Karad
01.2011 - 1 2012

undefined

Krishna Charitable Trust and Jr. College Of Science
Karad
01.2009 - 1 2010

Timeline

Data Scientist

05.2024 - Current

Data Scientist

EXCELR
01.2024 - 04.2024

B.E - Computer science

SKN institute Sinhgad
01.2012 - 1 2016

Higher - undefined

Yashwantrao Chavan College of Science
01.2011 - 1 2012

undefined

Krishna Charitable Trust and Jr. College Of Science
01.2009 - 1 2010
Onkar Thorawade