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Data Analyst Science

Location:
Dallas, TX
Salary:
80000
Posted:
February 23, 2024

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Resume:

SHIVANI PULLAPOLLA

Arlington, TX 469-***-**** Email LinkedIn

Results-driven data Analyst and Tech Enthusiast Expertise in Web Design and Data Science Foundation in Accounting and Finance Eager to apply theoretical knowledge to real-world technical challenges CORE COMPETENCIES

Data Analysis

Machine Learning

Python Programming

Data Visualization (Tableau)

Database Management (MySQL)

Predictive Modelling

Regression Analysis

Data Mining

Advanced Excel Skills

Risk Mitigation

Business Intelligence

PERSONALITY TRAITS

Interpersonal Communication

Time Management

Multi-Tasking

Enthusiastic

Professional

Positive Attitude

EDUCATION

MS Data Science University Of

Texas at Arlington CGPA: 8.42/10

Coursework: Artificial Intelligence, Data

Science Project Management,

Probability and Statistics, Data

Science, Computer Vision.

BCom (Finance) Rishi UBR College

Coursework: Taxation, Business

Management, Finance, Computer vision

HIGHLIGHTS

Received 3 Bravo Awards from

process executives for outstanding

performance.

Contributed to 4 innovative ideas

and 6 articles to knowledge base.

Recognized with the Cornerstone

Award in June, August, November,

and December 2021 for exceptional

leadership delivery in both 2020

and 2022.

Acknowledged as an Employee of

the Quarter for Q1 2020 and Q3

2022.

PROFILE SUMMARY

Accomplished Data Analyst with expertise of over 2 years and a proven track record in analyzing complex datasets, extracting actionable insights, and implementing data-driven strategies to optimize business performance.

Skilled in utilizing statistical tools and techniques to interpret trends, forecast future outcomes, and drive informed decision-making processes, ensuring a competitive edge in the marketplace.

Knowledgeable about risk mitigation strategies within data analysis processes, ensuring data security, privacy compliance, and adherence to industry regulations.

CORPORATE SUCCESS

Amazon Data Risk Analyst Nov 2019 – Jul 2022

Conducted comprehensive training in time series data analysis for new hires, while spearheading Gemba initiatives to improve operational processes.

Managed Connections, fostering employee-employer relationships, and served as a proficient Team Lead utilizing ServiceNow for efficient workload management.

Implemented Quality Huddles, providing recommendations for enterprise- wide system improvements and consistently following best practices in change management.

Analyzed complex data structures, identifying anomalies and mitigating risks, with a specialized focus on addressing fraudulent abuse activities.

Demonstrated expertise in handling mutation abuse, catalog risk, and MISCAT abuse.

Contributions to Proactive Team

Maintained oversight of seller data, ensuring compliance with copyright standards, and actively protected and educated sellers from property violations.

Represented Technology Services and the Data Team with professionalism during interactions with peers and customers.

Successfully managed Account Enforcements, TTs, and Appeals with a strategic emphasis on data science collaboration and compliance. MAJOR PROJECTS

Project Title: Gated Community Web Design

Project Description: Implemented dynamic maps through GIS technology, granting users access to location-based services and an intuitive interface. Coordinated the conceptualization, creation, and development of a gated community website using HTML, CSS, and JavaScript, crafting a visually compelling and dynamic interface. Enhanced user engagement by refining the page's design and navigation through the application of UX design concepts. Authored a comprehensive guide elucidating the website's features and functionalities to ensure user comprehension.

Project Title: Data Science Capstone Project - Bank of America Project Description: Currently managing an ongoing project focused on the academic technology shift at Bank of America, with a primary emphasis on incident report analysis. Spearheaded the integration of academic technology, executed incident analysis for proactive issue resolution, and implemented risk management protocols.



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