Technical Support Marketing Intern

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SRIVYSHNAVI MAGANTI

***************@*****.*** 203-***-****

Summary

Dedicated and versatile professional with a strong background in technical support and marketing. Proven expertise in troubleshooting and resolving technical issues, coupled with hands-on experience in executing marketing strategies. Demonstrated ability to provide exceptional customer service, manage multiple tasks, and work collaboratively within a team. Seeking to leverage my skills and experience to contribute to a dynamic organization. Skills

• TECHNICAL SKILLS

• Analytical and programming skills: SQL, Tableau, python

• Sound Knowledge of MS-Word, MS- Excel, MS-

Power Point

• Analytical skills

• Drives results through effective project and time

• Soft spoken

• Good oral and written skills

• Product Demonstrations

• Sales Expertise

• Market Analysis

• Database Management

• Public Relations

• Excellent communication and interpersonal skills.

• Strong organizational and strategic planning skills.

• Ability to gain and maintain strong professional relationships.

• Ability to travel overnight.

Experience

Nielsen sports Bangalore, India

Jr. Analyst

10/2020 - 05/2021

Data Collection and Interpretation:

Statistical Analysis and Modeling:

Performance Evaluation and Optimization

Cognystix business Solutions • Worked with SQL to query the data from databases Andiamo Austin, Texas

Marketing Intern

05/2024 – 07/2024

Darwin Hyderabad, India

Product Analyst

10/2021 - 07/2023

I have worked as marketing intern where I promoted our clients brand names by developing and supporting field marketing programs. Worked closely with other Marketing Executives and organizations to support sales activities (shows, events, campaigns, etc.) and utilize your marketing expertise to help develop and execute marketing programs that will increase our clients demand and drive revenue.

Technical Support and Issue Resolution:

Data Consolidation and Analytical Module:

Payroll Model Assistance and Feedback Gathering:

Risk Identification and Best Practice Sharing:

Product Growth and Marketability:

Strategic Planning and Implementation

Hyderabad

Data Analyst Intern

10/2018 - 03/2019

• Worked with few programming languages such as python, SAS to program and deal with extracted data

Intransure Technologies Vadodara,

India

Human resource Intern

09/2017 - 12/2017

• Hr activities along with marketing and data acquisition

• Dealing with staff data and analyzing it using excel and google sheets

• Worked on the Data given by the marketing team and analyzing through entering in excel sheets.

Bangalore, India

Paytm (Marketing Intern)

03/2017 - 07/2017

• Marketing and sales including hr activities

• Interacting with as many consumers as possible regarding the product

• Evaluating the consumers opinion by marking in excel and analyzing the data.

Education and Training

New Haven University Connecticut

Master’s in science in Business Analytics

Dayanand Sagar university Bangalore, India

Master’s in business administrations, Business Analytics Mount Carmel Collage Bangalore, India

Bachelor of Business Administration in human resource management Predictive Analysis Prescriptive Analysis Marketing Analytics Public Recourse Management Business Analytics Accomplishments

Ethical issues in human recourse: The main objective of this project was to study the psychology of teachers and junior lecturers, how they make up their mind according to the salary, parents' expectations and the organizational goals.

Port Authority, this project, conducted in collaboration with the Port Authority of New York and New Jersey, aimed to analyze historical data from November 2020 to September 25, 2023, to determine key factors influencing bus departures and passenger numbers. Employing Excel and Power BI tools, we scrutinized variables such as precipitation, temperature, gas prices, holidays, sports events, and roadblocks due to repairs. Our analysis predicted over 129,000 passengers on June 23, 2025, and more than 3,900 bus departures on May 28, 2029. Utilizing Power BI, we developed a Machine Learning model with a remarkable 95% accuracy in identifying factors impacting departure values. The model visually represented these influences through a column chart, providing a concise and insightful overview of the data. Use of Data Analytics for Managing Profits of Supermarkets: A Case Study of Tesco, the main issue that must be addressed by the proposed study is the dearth of hard data regarding the different elements that could affect grocery chains' revenues. Although it's common to see profit as the primary driver of business operations, a poor grasp of the variables affecting profit margin might result in lost opportunities for profit. The planned study aims to shed light on the different factors that affect supermarket profits, with a focus on Tesco.

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