Revan Puranik - System Analyst

Summary

Dedicated and analytical professional with hands-on experience in harnessing data-driven insights to drive strategic business decisions. Proficient in translating complex data into actionable recommendations to drive business growth and optimize decision-making. Talent for identifying trends, patterns, and opportunities within vast datasets. Strong communicator with the ability to collaborate effectively with cross-functional teams. Committed to leveraging data as a strategic asset to deliver a meaningful impact and facilitate data-informed decision-making.

Overview

2

years of professional experience

1

Certification

Work history

System Analyst

Infosys Pvt Ltd

Bengaluru

2020.02 - 2022.03

Led the data-driven decision-making process by managing the development and maintenance of the 'Microsoft Certification Service' web application, utilized globally for assessing Microsoft application proficiency and offering certifications
Designed and conducted comprehensive unit testing, employing DEVOPS tools to ensure flawless production deployments, highlighting a strong foundation in software engineering and process optimization
Directed significant enhancements to MSSQL tables and stored procedures to boost database efficiency, demonstrating strong skills in data manipulation and optimization
Provided swift user support and resolved issues within the certification portal, fostering positive user experiences through data analysis and customer feedback evaluation
Managed and promptly addressed AZURE service issues, ensuring uninterrupted system functionality, reflecting capabilities in cloud-based data services and system reliability
Utilized Tableau for creating insightful, dynamic reports and dashboards to track and visualize the performance metrics of the 'Microsoft Certification Service' application, enhancing data-driven decision-making and stakeholder communication.

Education

Master of Science - MSc Business Analytics

University of Surrey

United Kingdom

09/2022 - 09/2023

B.E in Electronics & Communication Engineering -

St Joseph Engineering College

India

07/2015 - 06/2019

Skills

Programming Languages - Python, R, C, C, HTML

Softwares - Advanced MS Excel, MS Access, MS PowerPoint, MS Word, Postman, SAP S4/Hana, SPSS Modeler, SPSS Statistics, STATA

Cloud Platform - Azure Devops

Platforms/Industries - Linux (Ubuntu), Windows, MacOS, Product Life Cycle Management, Supply Chain Management, Machine Learning

Methodologies - Business Process Modeling, Data Visualization, Business Process Improvement, Scrum, CRISP-DM

Academic Projects

Dissertation: Consumer Acceptance of IoT Technologies in Retail

Conducted in-depth research analyzing consumer attitudes towards IoT in retail environments, focusing on technological beneﬁts versus privacyconcerns.
Utilized CRISP-DM framework for data analysis, employing Ordinal Logistic Regression and OLS Regression to derive insights from survey data.
Proposed strategies to enhance IoT adoption by balancing convenience and privacy, emphasizing trust-building and the integrationof human-technology interactions.

Statistics and Econometrics Project

Developed a comprehensive OLS linear regression model to interpret relationships within a real-world dataset, enhancing understanding ofeconometric principles and statistical analysis.

Operation Analytics Project: Optimizing Forensic Processes for West Yorkshire Police

Led a pioneering project implementing Rapid DNA technology, signiﬁcantly reducing DNA result turnaround to 24 hours andstreamlining criminal identiﬁcation.
Used Simul8 for process simulation, optimizing operational efﬁciency and guiding the deployment strategy for forensic machinery,contributing to improved law enforcement effectiveness.

Data Analysis Project: Caravan Insurance Policy

Executed advanced data mining using R and SPSS Modeler, applying clustering algorithms and decision trees to analyze caravan insurancedatasets.
Translated data ﬁndings into actionable insights through compelling visualizations in Power BI, facilitating informed decision-making andstrategic planning.

Marketing Analytics Project

Performed cluster analysis on global population data to uncover distinct segments, informing targeted marketing strategies andenhancing campaign effectiveness.

Business Process Management: SAP S/4 HANA

Conducted detailed case studies on production planning and control within Coca Cola's ERP systems, assessing SAP HANA's impact andproviding insights for future ERP implementations.