Badges
Certifications
Work Experience
Product Analyst
Swiggy•  April 2023 - Present
Data Science Analyst
Tiger analytics•  August 2022 - December 2022
Business Analyst - Senior Associate
OYO Rooms•  April 2022 - July 2022
As a part of Revenue team, work included: • Extracting data from Databases of the company, as per requirement of the Stakeholder using SQL or R Programming and making reports based on that using R programming, Python and Google Sheets/Excel. • Doing analysis of the data, finding the hidden anomalies in the data and suggesting the next steps to be taken. • Create data dashboards for stakeholders to have regular visibility on key metrics, who report directly to the CEO and CXO of the company.
Data Scientist and RPA Developer
The Judge Group•  May 2021 - January 2022
1. Designed RPA for creating training report for HR department and for external clients, using Automation Anywhere and Power BI. 2. Created POC for complaint management system (ticketing system), for client, using Automation Anywhere. 3. Created POC for extracting data from invoices using IDP(Intelligent Document Processing) tools and logged that data to companies invoice management platform, then generated a report for the same, using IQ bot, Bot Insights and Automation Anywhere. 4. Developed expense reimbursements management for HR department, using Automation Anywhere . 5. Automating Azure virtual machine starting and stopping based on the email sent by the admin to registered email, using Azure and Automation Anywhere. 6. Self Project: Developed charts and performed EDA of data, based on the CSV file entered by user, using Automation Anywhere and Python.
Student Expert
Chegg•  March 2021 - May 2021
Here, I have to upload answers of the questions asked by students from various countries, based on computer science, statistics and Data science
Data Science and Business Analytics Intern
The Sparks Foundation•  November 2020 - December 2020
1. Prediction of marks scored by a student based on the number of hours studied. Applied Simple Linear Regression using Python to predict. 2. Predicted the optimum number of clusters for sample data of eyes (Iris) dataset. Applied K-means cluster in Python to predict. 3. Exploratory Data analysis on retail data using Python.
Virtual Internship Program
Microsoft•  September 2020 - November 2020
In this internship, I learned about communication, body language and how to act in different situations of corporate culture. Also worked on oratory skills.
Sales Intern
Apple•  December 2019 - January 2020
Learned about sales and marketing and how to use various iOS products.
Education
University of Delhi
Computer Science, BS•  July 2018 - August 2021
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Skills
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