Amrita Biswas Email & Phone Number

Austin, Texas Metropolitan Area

• Interpret data, analyze results using statistical techniques, and provide ongoing reports regarding all aspects of web traffic and certain marketing activities.• Translate data analysis into actionable insights.• Ensure data integrity and champion improvements.• Proactively conduct deep dive investigations and discover areas for optimization.• Become the go-to team member for all data-related decision making by the sales, marketing, editorial, and executive teams.• Establish new KPIs and monitor existing KPIs related to all content and audience development initiatives.• Be responsible for organization and quality of our data warehouses, Google Tag Manager, Google Analytics, Parse.ly and our Customer Data Platform.• Help translate data into business decisions and insight.• Proactively manage and report on metrics and key business goals• Write your own SQL or code necessary for reporting purposes

United States

Analyze recruitment data and build dashboards to identify patterns. Cross team collaboration to present insights and help businesses take data driven decisions. Participate in design and code reviews, bug/issue triage with the teams. Help and support customers to successfully use our product/service.

Richardson, Texas, United States

Improve Customer Request Intake Process- Cooperative Processing Resources is facing challenges to resolve customer requests in shorter times majorly due to customers not providing enough meaningful data in the initial work request forms. The increased iterations due to frequent clarifications has led to unwanted delay in even solving simpler tasks. Working on analyzing the data e.g., questionnaires, business intake forms etc., by designing a data model using Microsoft SQL Server and visualization tool like Tableau and find out KPIs like form completion percentage, fields not being filled frequently, browsing activity like pages most viewed, last page/field filled, time taken to fill form etc. These KPIs are intended to identify common customer patterns and help tweak the forms to make the intake forms easier to fill and more useable for CPR.

Texas, United States

1. Human Resources Data Analysis, MS in Business Analytics-Analyzed the employment data of a firm which is having high attrition rates to ascertain top reasons contributing towards employee concerns thus leading to the churn. Created a data model on the HR data using MySQL and built critical KPIs and a dashboard using Tableau to help better analyze and visualize the data and works towards reducing the employee concerns and thus reducing the attrition rates in the future.2. Prediction of Brain Stroke in patients, MS in Business Analytics-Researched different models like Decision Tree, Logistic Regression, Random Forest and K-Mean Clustering and deduced the best suited to produce reliable and repeatable results by using R and Tableau. The overall goal was to model a system that would analyze data patterns and predict outcomes designed to help physicians to better assist and diagnose patients.3. Reporting Data Model for a Fitness Center, MS in Business Analytics-Designed a data model using Entity-Relationship model and built a relational database using Microsoft SQL Server for a fitness center application. The Data model provides critical insights about the fitness center with KPIs (Key performance Indicator) e.g., members, memberships, running cost, instructors, equipment. These insights will help the stakeholders to better assess the ongoing business and pave a path for long term growth and success.4. COVID Dashboard - Analyze COVID-19 spread, its implications and effectiveness of the vaccine in the US population. Visualize the contributing factors to Covid-19 related deaths across the US and rank the influence of all factors and map out dependencies

South 24 Parganas, West Bengal, India

Worked on an Auto Replenishment Model project for SAIL’s products division focusing on prediction of meeting the customer purchase demands. The project dealt with analyzing data w.r.t inventory levels, order lead times, demands and supply and efficiently predict if the existing inventory would meet future sales demands or would require replenishment.

Kolkata, West Bengal, India

Performed data analysis, identify trends and present findings that would provide visibility into existing customer satisfaction and help business take data driven decisions to further enhance the experience for customers.

Kolkata

1.Consumer preference study for online shopping in India - Performed a detailed survey to understand the customer preferences, concerns and retails trends based on the current available online retailers in India.2.Customer satisfaction for the two ,leading banks in India- Comparative study between ICICI and SBI bank-The study provides information about the differences in satisfaction level of customers of both leading banks and will be helpful in framing new policies relating to the customers.

Kolkata Area, India

Tata Steel supports the steel requirements for the Tata group of companies. Tata Steel needed to have a reliable system which would be able to map the demand and supply ratio of materials e.g., steel, parts etc to be able to successfully meets the demands of the companies to ensure timely delivery. This process provided me with the opportunity to work on the RVM (Retail Value Management) system database hosted data for the above demand and supply details. I worked on sanitization of this data and timely uploads in CRM system to help in review and management of this critical data thus ensuring the deadlines are met with most accurate data to the best of my knowledge.

Master Of Science - Ms, Business Analytics

Diploma Of Education, Computer Software And Media Applications

Master Of Business Administration - Mba, Marketing, ~75%

Activities and Societies: Volunteered in College Seminar for Digital Marketing

Bachelor Of Technology - Btech, Electrical, Electronics And Communications Engineering, 7.87

Activities and Societies: Volunteered in College Seminar