Overview

Higher Qualification: Master's Degree in Statistics and Computer Science from Pondicherry Central University with an aggregate of 87%

Work Experience:

Role: Data Analyst
Company: Artificial Penetration Software Solutions, Hyderabad
Duration: January 2019 – December 2021

Conduct Data Mining, Data Modelling, Statistical Analysis, Business Intelligence gathering, trending, and
Forecasting. Data analytics supports decisions for high-priority, enterprise initiatives involving IT/product
development, customer service improvement, organizational realignment, and process reengineering.
Used quantitative data gathered to develop an understanding of customer behaviour, demographics, and
lifecycle. Presented data that helped guide decisions of the Organization.
Perform qualitative and quantitative analysis to support day-to-day decision making and support reporting and
analytics, such as KPIs, Financial reports, and create interactive dashboards for better analysis using Powe read more... BI or
Tableau
Used Machine Learning and Statistical Modelling techniques to develop and evaluate algorithms to improve
performance, quality, data management, accuracy and making predictions

Project :

Title: Magic Straw Restaurant Sales Analysis and Revenue Prediction
Role: Data Analyst
Technologies: Excel, Power BI, Python, Machine Learning
Description:
The Basic idea of Magic Straw restaurants analysis is to get a fair idea about the factors affecting
the establishment of different types of restaurants at different places in Hyderabad and aggregate
rating and Revenue of each restaurant. This dataset contains details (including ingredients), images
and reviews of 241 ice cream flavours & COMBO thick shakes across the city. There are a total of
21,674 reviews, with each review containing star ratings and text.

Responsibilities / Accomplishments:

• Data Mining and Modelling: Collected, cleansed, and provided modelling and analyses of structured and
• unstructured data used for major business initiatives. Outcomes:
— A 15% reduction in transportation costs, resulting in annual savings.
— Improved demand forecasting that reduced backorders to retail partners by 17%.
— Completed Revenue Analysis and BI research that helped boost NW region sales by 15%.
Dashboards: Created visually impactful reports /dashboards in Power BI for data reporting and data analysis by
using pivot tables and VLOOKUP. Extracted, interpreted, and analysed data to identify key metrics and
transform raw data into meaningful, actionable information.
eCommerce: Designed and built Machine Learning analysis models on large data sets that helped increase online
sales (up to 15% per product) and lowered the Orders-Cancellation rate by 23%.

Languages

English

Education

Master's Degree in Statistics

Other skills

Data Analytics, Data Visualization, Data Warehousing, Excel, Python, SQL, Statistics, Tableau