Summary
Overview
Work History
Education
Skills
Websites
Certification
Languages
STRENGTHS
Projects
Timeline
Generic

Vishal saxena

Gurgaon

Summary

Strong background in analyzing financial data and market trends. Strengths include identifying opportunities for process improvement, executing effective strategies, and ensuring alignment with business objectives. Previous role involved providing analytical support to management, enhancing operational efficiency, and contributing to strategic decision-making processes.

Overview

1
1
year of professional experience
1
1
Certification

Work History

Associate Analyst

Policybazaar
Gurgaon
04.2024 - 10.2024
  • Created reports highlighting key metrics related to performance objectives.
  • Developed tracking tools to monitor progress against set goals.
  • Researched best practices in industry standards for benchmarking purposes.
  • Assisted in developing recommendations for changes or improvements based on data analysis.
  • Created reports detailing findings and recommendations.

Education

Bachelor of Technology -

Chandigarh University
MOHALI
05-2024

Intermediate - Science

Rainbow Public School
Rudrapur
04-2020

Matriculation -

Rainbow Public School
Rudrapur
03-2018

Skills

  • Programming languages: java, C#, net, Python
  • Scripting languages: PHP, python, javascript
  • Microsoft Excel
  • BI dashboards
  • SQL programming
  • Critical thinking
  • React
  • NodeJS

Certification

  • SQL for Data Analytics - Intershala
  • Java Full Stack - Wipro
  • Managing Big Data with MySQL - Coursera
  • Building Modern Python Applications on AWS - Coursera

Languages

Hindi
First Language
English
Upper Intermediate (B2)
B2

STRENGTHS

  • Creative Problem Solving - Utilize creative solutions to tackle challenges.
  • Strong Leadership - Experienced in leading and mentoring teams, resulting in highly efficient project execution.
  • Time Management - Increase productivity and the quality of work while preventing task overload.

Projects

Stock Market Prediction using Machine Learning 

Market prediction for analyzing trends and changing in stock market using chart and pattern.

  • Data Collection and Preprocessing
  • Feature Engineering
  • Machine Learning Model Development
  • Deployment and Integration

Credit Card Fraud Detection Using Supervised Machine Learning

Different Supervised machine learning algorithms are implemented to detect fraudulent transactions in real-time datasets.

  • Supervised Learning Model Development
  • Supervised Learning Model Development
  • Model Evaluation and Validation
  • Results Interpretation and Visualization

Timeline

Associate Analyst

Policybazaar
04.2024 - 10.2024

Bachelor of Technology -

Chandigarh University

Intermediate - Science

Rainbow Public School

Matriculation -

Rainbow Public School
Vishal saxena