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Vaishali ChauhanVC

Vaishali Chauhan

@vaishalichauhan

Data Analyst

Bijnor

https://www.linkedin.com/in/vaishalisi-nghchauhan/

Allianz PartnersSRMS College Of Engineering and Technology

Vaishali is a data professional with a strong analytical mindset and a solid foundation in SQL, Python, statistics, and machine learning. She has proven ability in data analysis, visualization, and translating data into actionable strategies. She is skilled in leveraging advanced analytical techniques to drive meaningful insights and solutions.

Experience

Data Analyst

Allianz Partners

•Jul 2022 - Present

Communicating and reporting the data with different BUs on daily basis. Working on the International Medical, Travel and RSA data projects, as well as Fraud data Dashboards.

Data Scientist Intern

Freecharge Payment technologies Pvt. Ltd

Internship•Feb 2022 - Jun 2022

Working on the BMW and Mercedes data from different tools and creating the dashboards using Power BI. I worked on the Net Promoter Score (NPS) analysis project for RSA LoB, utilizing and implementing machine learning algorithms.

Data Analyst Intern

PyApp Technologies Pvt. Ltd

Internship•Sep 2021 - Jan 2022

Manage and oversee the whole user onboarding process. Producing Management Information reports using excel and DB queries. Processing changes to employee's circumstances, including preparing accurate and effective documentation/communication and updating relevant databases.

Education

SRMS College Of Engineering and Technology

B.Tech/B.E.

Engineering

Jan 2018•Grade: 85-89.9%

Studied in Uttar Pradesh.

Licenses & Certifications

Complete Microsoft SQL Masterclass: Beginner to Expert

• No expiration

Business Intelligence with Microsoft Power BI

• No expiration

HR Data Analyst

• No expiration

Skills

Data Analysis
Machine Learning Algorithms
Data Reporting
Database Queries
Advanced Excel
Visualization Technologies
Python
Power BI
Tableau
SQL
MySQL
MongoDB
Adobe Analytics
Big Data Hadoop
EDA
Hadoop
Hive
Linear Regression
Logistic Regression
Clustering
SVM
Knn
Decision Tree
Random Forest
Boosting