Summary
Overview
Work History
Education
Skills
Websites
Work Availability
Timeline
Hi, I’m

Vishal Garg

Delhi
Vishal Garg

Summary

Highly skilled and motivated Data Scientist with a strong background in statistical analysis and machine learning. Seeking a challenging position to utilize my expertise in extracting insights from complex datasets and driving data-driven decision making. Committed to delivering accurate and impactful results to contribute to the success of an organization.

Overview

7
years of professional experience

Work History

Department of Consumer Affairs
Delhi

Young Professional
03.2022 - Current

Job overview

  • Conducted in-depth analysis of large datasets using machine learning algorithms, resulting in actionable insights
  • Multilabel Classification with the help of NLP on thousands of Consumer Court Cases in Insurance , Housing Sector to identify problems
  • Assist in Compilation of Reports such as RTI, disposing of PG Appeals
  • Assist in Conducting meetings, preparing minutes of meetings
  • Support in completing dashboards of Cabinet Secretariat, NITI Ayog and other ministries.
  • Applied effective time management techniques to meet tight deadlines.

Lochan & Co

Business Development Executive
07.2019 - 03.2022

Job overview

  • Extensive search to identify potential business leads, both domestically and internationally, within the areas of audits, consultancy services in education sectors, and women empowerment etc.
  • Took charge of searching, including identifying suitable associates and firms for potential collaborations, while also maintaining an up-to-date contacts/associates database.
  • Compiled and organized crucial information from selected tenders into concise data sheets and highlighting key points.
  • Modified and prepared expert CVs to align with specific proposal requirements.
  • Updated and managed MIS excel sheets with meticulous attention to detail, verifying data accuracy, and rectifying any discrepancies in the database.
  • Proactively communicated with international customers through various channels such as emails, chats, etc.
  • Contributed to the preparation of financial proposals and facilitated portal registrations, streamlining the process.
  • Efficiently scanned and printed documents as needed.

Home Credit India Finance Pvt Ltd
Delhi

Sales Associate
08.2016 - 06.2017

Job overview

  • Provided sales and marketing support in offering two-wheeler finance facilities.
  • Maintained meticulous records of customer inquiries received via various channels, including Just dial and walk-ins, and effectively pitched our services to potential clients.
  • Ensured compliance with Know Your Customer (KYC) regulations by thoroughly reviewing and submitting customer documentation to the back office for Cibil Score verification.
  • Offered efficient after-sales services, particularly assisting customers without bank accounts to make timely monthly EMI payments, while also managing the issuance of No Objection Certificates (NOC) and the removal of hypothecation.

Education

DataTrained
Noida

Diploma in Data Science
12.2021

University Overview

  • Successfully got IBM Certification

Indira Gandhi National Open University
Delhi

Master of Arts from Economics
12.2020

University Overview

  • Second Division Scored 58%
  • Mathematics, Statistics and Econometrics were subjects

University of Delhi
Delhi

Bachelor of Arts from Economics(Hons)
07.2016

University Overview

  • First Division Scored 66%
  • Mathematics, Statistics and Econometrics were subjects

Skills

  • Statistical Analysis
  • Machine Learning, Natural Language Processing
  • Python
  • PowerBI, Google Data Studio
  • Model Deployment
Availability
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Timeline

Young Professional
Department of Consumer Affairs
03.2022 - Current
Business Development Executive
Lochan & Co
07.2019 - 03.2022
Sales Associate
Home Credit India Finance Pvt Ltd
08.2016 - 06.2017
DataTrained
Diploma in Data Science
Indira Gandhi National Open University
Master of Arts from Economics
University of Delhi
Bachelor of Arts from Economics(Hons)
Vishal Garg