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Kalyan Parimi

Sr. Data Analyst/Scientist, Analytics Product Management, Data Solution Architect
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About

About Me

Sr. Data Analyst/Scientist & Analytics Product Manager

Senior Data Analyst | Product Management | Resident Data Scientist | Report Build Engineer | Published Author & Blogger @ Academic.edu, Amazon, Springer, Nova, LAP Publications, WordPress |

With over four years of extensive experience in the field of Data Analytics Pipeline & Product Development, I possess a high level of expertise and a strong sense of responsibility. I excel at incorporating best practices from three critical areas - Business, Data, and User Experience (UX). Throughout my professional journey, I have undertaken various roles encompassing multiple domains within Data Science and Analytics. My primary focus has been not only delivering analytical solutions but also establishing Analytics capabilities across diverse Stakeholder and Internal teams. I have had the privilege of working with esteemed organizations in the industry, including a well-known Gaming Firm, a Big Four consultancy, and a Fortune 100 company.

Name: Shiva Kalyan Parimi
Firms: Electronic Arts, Deloitte, Accenture, Accukardia, University of Windsor (CTL Dept)
Experience: 4+ Years
Phone: +1(437)557-5413
Email: pskalyan070@gmail.com
Address: Windsor, Ontario, Canada
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Quality

Education & Expericence

My Experience

University of Windsor

Database Project Analyst, Centre for Teaching & Learning (Part-time) 2023 - Present

  • Core development and feature engineering for Annual reports and data accuracy within Academic and workshop data.
  • Sole management of workflows and testing the developed SQL scripts to automate annual reporting using POSTGRE SQL, Power BI and D2L Brightspace.

Electronic Arts

Sr. Data Analyst/Scientist | Data Solution Architect | Alteryx Designer | 2022 - 2023

  • Conveyed the need of tools and prepared multiple case studies to help team decide which tool should the budget be invested in by giving pro’s and cons of tools across different firms. (Alteryx Vs D360 by Infogix, PowerBI Vs Looker)
  • Managed & have Sole ownership of Products carrying multiple high priority firm wide impact during its Proposal, Development & Testing Phases.
  • Lead functional testing team while switching roles from Data Scientist to a Business Analyst to assist teams in intensive functional and technical testing.
  • First from the Global Audit Analytics team to arrange workshop sessions for various Products & Projects with a firm-wide Analytics product release.
  • Direct involvement with Directors/Sr. Directors/ VP/ Stakeholders across the firm to understand business needs and business decision curve to plug in analytics functionality.
  • As a part of Analytics team, swayed between multiple Financial, Audit and Business teams to empower them with Data Insights & Multiple visualizations that helped them take business decisions.
  • Authored multiple Product Feedback and Product Requirements Document within the Firm for multiple different teams.
  • Prominent part of a Data Analytics and Advisory board for non-gaming data analytics sectors within EA.

Deloitte USI

Data Solution Engineer | Data Analyst | Business Technology Analyst | Data Engineer | 2021 - 2022

  • Demonstrated proficiency in working with AWS and Azure environments for end-to-end analytics as a data engineer/analyst in the telecommunications sector.
  • Generated features from legacy CRM systems, built decision engines, and migrated data to AWS, using feature engineering techniques to transform raw data into actionable insights.
  • Used Quicksight/Power BI for reporting/visualization of data drawn from cloud services and extracted large datasets using AWS ETL tools to ingest data into fact tables.
  • Reduced 40-60% of Excel insights using Power BI and AWS Quicksight.
  • Conducted detailed requirement analysis for clients and designed and tested one-time load and incremental load PySpark scripts on Databricks for the manufacturing analytics team.
  • Developed an end-to-end data quality framework using Python-PySpark for the data management team.

Accenture

Python Automation Consultant | ABAP-PI/PO | Elemica Consultant | 2019 - 2021

  • Developed an algorithm to calculate & predict the upcoming problem points in the project by using 6 years of data on Incidents/Tickets/SLA's.
  • Trained a professional team of 20 members on "Hands-On Python-Programming" using Jupyter NB & Python CLI over a span of 6 weeks. (April - June 2020) under the Upskilling program..
  • Provided enhancements to the existing ABAP code, handled changes and requirements under new implementations on ABAP HANA while working on RICEFW concepts. Worked on automation with “GUI_UPLOAD” module.
  • Participated in “Disaster Recovery for PI Modules” & “PI to PO Migration”. (Jan - May 2020), Automation of Audit Reporting using Python GUI.
  • Worked on NetWeaver PI tool, while handling new Demands, Change Requests, Developing custom mappings, Communication between multiple systems & Partner Profiles, Interfaces between different business systems while handling requirements from clients.
  • Participated in GTIC-2020 & 2018 Innovation contest for Society and Business at International Level in Accenture Innovation Challenge.

My Education

Masters In Management - Data Analytics

University of Windsor | Sept 2023 - Dec 2024

The University of Windsor offers a 2-year Master's program in Management with a specialization in Data Analytics, designed to equip students with the knowledge and skills necessary to excel in the field of business analytics. Through a rigorous curriculum that includes courses in statistics, data mining, and machine learning, students will learn how to analyze complex business data and make data-driven decisions. The program also provides opportunities for hands-on experience through case studies and internships, preparing graduates for careers in a variety of industries.

Post Graduate Diplomna In Business Analytics

Indian Institute of Management, India | 2020 - 2021

The Integrated Program in Business Analytics (IPBA) curriculum is designed to be a comprehensive program covering technical and business aspects of the application of analytics and data science. It starts by laying a strong foundation of essential tools and techniques including descriptive and inferential statistics, data extraction and manipulation with SQL, data manipulation and processing with Python and R, and data visualization with Tableau.

Bachelors In Information Technology - Data Analytics

Sreenidhi Institute of Science & Technology, JNTUH, India | 2015 - 2019

Sreenidhi Institute of Science and Technology offers a 4-year Bachelor's program in Information Technology with specializations in Data Analytics, Big Data, and Data Science. The program is designed to provide students with a strong foundation in information technology, as well as the tools and techniques required for data analysis and visualization. Through hands-on training and practical coursework, students will learn how to handle big data, use advanced statistical methods, and develop machine learning algorithms. Graduates of the program will be well-prepared for careers in fields such as business intelligence, data analysis, and data science.

Responsibilities

Analytics Roles Played

Sr. Data Analyst

Involved in multiple projects across different domains such as Finance, Pharma, Telecom & Gaming in the field of Data and Business Analytics. Served several core teams on Insights for Reporting.

Data Scientist

Developed & Managed Forecasting & Classification algorithms in the fields of Finance & Telecom using Azure, AWS Cloud data science platforms.

Report Build Engineer

Developed, Supported & Managed multitude of reports ranging from Finance Teams to CXO & CFO teams. Part of Core team developing the Requirement Document for end users.

Product Management

After Developing solution, supported the end-users/product owners/advisory teams on Product Management, Performance Analytics and post production queries.

Data Solution Engineer

Played a key role during initiation of projects to decide on which technology and tools have to be utilized while aiming for a longer term self-serviceable and reliant solutions.

Alteryx Workflow Developer

Developed & Managed Alteryx workflows for Analytics, Automations, Data Quality & Testing of various Audit and other Finance business processes.

Projects

Capstones

  • All
  • Publications
  • Analytics & Data Science
  • Dashboarding
  • Blockchain & Others

Testinomials

What they have to Say

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