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.
Database Project Analyst, Centre for Teaching & Learning (Part-time) 2023 - Present
Sr. Data Analyst/Scientist | Data Solution Architect | Alteryx Designer | 2022 - 2023
Data Solution Engineer | Data Analyst | Business Technology Analyst | Data Engineer | 2021 - 2022
Python Automation Consultant | ABAP-PI/PO | Elemica Consultant | 2019 - 2021
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.
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.
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.
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.
Developed & Managed Forecasting & Classification algorithms in the fields of Finance & Telecom using Azure, AWS Cloud data science platforms.
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.
After Developing solution, supported the end-users/product owners/advisory teams on Product Management, Performance Analytics and post production queries.
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.
Developed & Managed Alteryx workflows for Analytics, Automations, Data Quality & Testing of various Audit and other Finance business processes.