Data Analytics Information Systems

Akhilesh Rajeshwar Balapurkar ********@***.***

**** **** **** *** ******, Tempe, Arizona, 85281 +1-480-***-**** https://www.linkedin.com/in/akhilesh-balapurkar SUMMARY

Experienced IT professional with expertise in Information Management, Enterprise Processes, and Strategic IT. Adept at leveraging Data Analytics, Machine Learning, AI, and Big Data Analytics to drive business value and informed decision-making EDUCATION

W. P. Carey School of Business at Arizona State University Aug 2023 – July 2024 Masters in Information Systems Management (GPA 3.96) Tempe, Arizona Shri Ramdeobaba College of Engineering and Management Aug 2016 – July 2020 Bachelor of Science in Electronics and Communication (GPA 3.44) Nagpur, Maharashtra, India PROFESSIONAL EXPERIENCE

Data Analyst June 2024 – Present

Learning Engineering Institute at Arizona State University Tempe, Arizona, United States

• Acted as a functional SME, collaborating with teachers and technical staff to prioritize needs and improve communication, while spearheading data analytics initiatives for the Writing Assessment Tool, leading to a 30% increase in scoring efficiency

• Defined process maps, user stories, BRD and tracked KPIs to identify key inefficiencies and developing of improvement strategies that resulted in a 41% reduction in process cycle time and a 29% increase in resource utilization efficiency Application Development Analyst June 2022 – June 2023 Accenture Solutions Private Limited Pune, Maharashtra, India

• Developed 70+ advanced SQL queries, stored procedures, views, and CTEs to generate BI data reports and deployments

• Successfully translated 50+ business requirements into technical solutions, leading diverse teams through agile SDLC while leveraging ETL, data warehousing, and MDM, exhibiting commitment to continuous improvement and innovation

• Analyzed complex and diverse healthcare data to extract actionable insights and trends, utilizing a statistical approach and BPMN, leading to a notable 42% reduction in reported defects and a 22% increase in data-driven decision-making efficiency

• Leveraged an AI bot to develop a software solution, reducing 40% of manual search efforts in the client’s Confluence

• Cultivated a utility to generate fake-legitimate cases for user acceptance and A/B testing reducing manual testing efforts by 80%

• Mentored junior engineers on CI/CD principles and practices, fostering a culture of automation and continuous deployment Associate Software Engineer Feb 2021 – June 2022

Accenture Solutions Private Limited Pune, Maharashtra, India

• Achieved a 45% reduction in process time and a 35% improvement in quality by optimizing queries and enhancing solutions for a healthcare system, while ensuring database compliance with ACID principles, resulting in streamlined project deliverables

• Engineered REST APIs utilizing Azure Cloud Security Fundamentals and Database Administration Security to obtain secure patient and EMR JSON bodies, eliminating 65% risk of SQL injection (SQLi) and Cross-site Scripting (XSS)

• Implemented root cause analysis and change management to address bottlenecks, enhancing workflow and productivity by 38%, resulting in a fast-track promotion and earning the Accenture ACE award within a year SAP MM Functional Intern Jan 2020 – July 2020

Tata Consultancy Services (TCS) Nagpur, Maharashtra, India

• Optimized SAP ERP and Salesforce CRM for Supply Chain and Material Management to execute a robust data management system making use of Interactive communication and conference, gaining collaborative engagement amongst peers and managers by 33% PROJECT EXPERIENCE

Social Media Sentiment Analysis Apr 2024 – May 2024

• Led a project extracting, cleaning, and analyzing 20,000+ Reddit posts using Excel (Pivot Tables), NLP, and advanced sentiment analysis (BERT, RoBERTa), resulting in actionable insights that informed targeted marketing strategies and improved Starlink’s service quality, increasing customer satisfaction by 20% Credit Card Default Prediction Jan 2024 – Mar 2024

• Constructed a machine learning predictive model to forecast the likelihood of account defaults by implementing Random Forest classification and regression, resulting in a 33% reduction in default rates and a 41% improvement in revenue forecasting accuracy Airbnb NYC Revenue Optimisation Oct 2023 – Dec 2023

• Demonstrated visualizations in Tableau to compare metrics such as total listings, average prices, and host popularity, providing actionable insights and identifying optimal city areas, increasing owner revenue by 25% SKILLS & ACTIVITIES

• Computer Skills: Tableau, Azure DevOps, Power BI, MS Excel & PowerPoint, Confluence, SSMS, SSIS, MongoDB, D365

• Technical Skills: Python, .NET, Agile, C#, Postman, Docker, Kubernetes, GitHub, Data Manipulation, Lean Six Sigma, OBA

• Certifications: MS Azure(AZ-900), Power Platform(PL-900), Data(DP-900), Google Analytics, OCI Associate, ISC2 CC

• Co-Curricular: Four Peaks Oktoberfest, IEEE Student Chapter, ASU ISA & MMA, Scholars for Tribals, CRPF India

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