Power Bi Machine Learning

Chandra Bose Boyapati

Email: *****************@*****.*** LinkedIn: www.linkedin.com/in/chandra-bose-boyapati Mobile: +1-314-***-**** Location: United States

PROFESSIONAL SUMMARY

Experienced professional with 2+ years of expertise in data management, statistical analysis, and data visualization. Skilled in Python, SQL, Power BI, and Tableau, with a strong background in cloud-based data storage and retrieval operations. Skilled at utilizing data insights to drive business decisions, improve operations, and enhance data reliability. Excels at collaborating with cross-functional teams to develop data-driven solutions.

TECHNICAL SKILLS

•Programming & Scripting: Python, SQL, Java, JavaScript, TypeScript

•Data Analysis & Machine Learning: Pandas, NumPy, Matplotlib, Scikit-Learn, Alteryx

•Databases & Data Warehousing: MySQL, SQL Server, MongoDB, AWS DynamoDB

•Data Visualization: Tableau, Power BI

•Cloud & DevOps: AWS (EC2, S3, Lambda, DynamoDB), Docker, Kubernetes

•Web & API Development: React, React Native, Node.js, Express, RESTful APIs, JWT Authentication

•Engineering & Design Tools: Catia V5, Fusion 360, Ansys, AutoCAD

PROFESSIONAL EXPERIENCE

System Engineer

Tata Consultancy Services July 2022 – July 2023 India

Enhanced Service-Oriented Architecture (SOA) solutions, increasing data retrieval efficiency by 20%.

MuleSoft workflows were created and refined to automate file operations and do away with human interaction.

Structured and implemented Java-based integration nodes to resolve database conflicts, ensuring accurate storage for thousands of files monthly.

Pioneered comprehensive technical documentation encompassing system setup procedures and troubleshooting guides, decreasing system downtime by 15% and improving engineer onboarding time by 20%.

Led troubleshooting and root cause analysis for integration issues, resulting in faster resolution and greater system stability.

Data Engineer

Sahasra Industries, India January 2021 – May 2022

Statistical analysis was performed in R to increase manufacturing process efficiency and quality control.

Identified key failure patterns in historical maintenance records, reducing equipment downtime by 30%.

Automated data cleaning and preprocessing workflows, saving 15+ hours per week for analytics teams.

•Improved manufacturing efficiency by monitoring component defect rates and using predictive maintenance procedures.

EDUCATION

Master of Science in Information Systems (3.74)

Saint Louis University (SLU), USA August 2023 – May 2025

Bachelor of Technology in Mechanical Engineering

Narasaraopeta Engineering College, India June 2018 – June 2022

PROJECTS

Big Data Analytics for CRM

Saint Louis University September 2024

•Analyzed large-scale retail customer data using SQL and Python, improving CRM retention strategies and reducing customer churn by 15%.

•Identified top three factors impacting conversion rates, leading to data-driven campaign improvements.

•Enhanced customer engagement metrics by 10% through targeted predictive analytics and segmentation modeling.

Virtual Campus Recreation in Minecraft

Saint Louis University March 2024

Constructed and executed a detailed 3D representation of the Saint Louis University campus using Minecraft, attracting over 200 views on social media platforms, boosting visibility and interest in digital design initiatives by 40%.

Leveraged AWS EC2 to host the Minecraft server, ensuring stable performance and access for multiple users.

Utilized AWS S3 to streamline storage and ensure regular backups of world files and player data, optimizing resource management.

Created five real-time interactive dashboards using player interaction data in AWS DynamoDB, visualizing trends to inform event planners on optimal event scheduling and activity sequencing choices.

GEOPATH: Geo Career Path Exploration Platform

Project Developer

Saint Louis University Ongoing March 2024

•Developing a web platform for exploring geo-related career roles, salary expectations, and top hiring companies.

•Made a detailed dashboard in Figma to improve user experience (UX) and user interface (UI).

•Developed and refined a SQL database for managing and storing geo-career information, such as corporate insights, jobs, and salary.

•Generated Power BI Real-Time Data Visualizations that displayed trending salaries, business data, and career information.

•To increase user engagement, an interactive and responsive website interface was designed utilizing HTML, CSS, and JavaScript (React.js).

•Python-based backend processing was put into place for smooth front-end integration and effective data management.

•Implemented the platform on AWS EC2, ensuring scalable performance, while leveraging AWS S3 for efficient storage and Optimized backup workflows, ensuring secure storage world files and user data.

•Making use of GitHub for version control, guaranteeing cooperation and monitoring project updates and code modifications.

GitHub Link: https://github.com/bose-bot

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