Business Intelligence Supply Chain

CHARAN SRINIVAS REDDY PERIPYDI MUNI

+1-989-***-**** *************@*****.*** linkedin.com/in/charan-srinivas-a16964327 CAREER SUMMARY

Results-driven and analytical professional with over 3 years of experience in supply chain leadership, logistics management, and project/program management across diverse industries. Proven ability to lead cross-functional teams and streamline complex operations using advanced data analytics, business intelligence tools, and cloud technologies. Skilled in developing scalable solutions with Python, SQL, GCP, Power BI, and ETL pipelines to drive data-informed decisions and operational excellence. Known for strong communication, leadership, and critical thinking abilities in fast- paced, deadline-driven environments.

AREAS OF EXPERTISE

Programming & Data: Python, SQL, BigQuery, ETL Development, Data Modeling, Shell Scripting

Cloud & Databases: Google Cloud Platform (GCP), Cloud Functions, Cloud Run, Firestore, MySQL, PostgreSQL

BI & Visualization: Power BI, Tableau, Google Data Studio, Excel PivotTables & Dashboards

Data Tools: Pandas, NumPy, Scikit-learn, Matplotlib, Jupyter, Git

Project Management: Agile/Scrum, JIRA, Confluence, Stakeholder Management, Risk Mitigation

Soft Skills: Analytical Thinking, Communication, Team Leadership, Adaptability, Decision Making PROFESSIONAL EXPERIENCE

Noesys Inc., Mt. Pleasant, MI (Remote) Sep 2024 - Present Web Analyst

• Built and maintained automated dashboards in Power BI and Tableau to monitor inventory turnover, supplier lead times, and delivery performance—resulting in a 15% reduction in delayed shipments.

• Developed and optimized ETL pipelines using Python and GCP to process and load daily logistics data, reducing manual intervention by 40%.

• Designed data models and managed Google BigQuery datasets to support business intelligence and operational reporting.

• Conducted root-cause analysis for delayed shipments and implemented data-driven solutions that improved on- time delivery rate by 18%.

• Partnered with cross-functional teams to establish key logistics KPIs and tracked performance across warehouse and transportation networks.

Young Minds Technology, Tirupati, India Nov 2021 - May 2022 Python Developer Intern

• Developed Python-based scripts to automate data ingestion and reporting for supply chain transaction logs, decreasing manual workload by 50%.

• Designed and deployed small-scale RESTful APIs using Flask to support logistics application prototypes.

• Collaborated with the data engineering team to clean and prepare datasets for analysis using Pandas and SQL, improving data accuracy by 20%.

• Supported QA and UAT phases by simulating edge cases in logistics process flows and validating system output. India Falcon Imports, Remote (Hybrid) Jun 2019 - Jul 2021 Python Developer Intern Data Operations Assistant

• Monitored inbound/outbound shipments and managed vendor communications to ensure on-time delivery across 3 distribution centers.

• Created Excel-based dashboards and automated reports to track container status, customs clearance, and warehousing KPIs.

• Performed data reconciliation between ERP and logistics systems, identifying discrepancies that saved over

$25,000 annually in late fee penalties.

• Supported the procurement team by analyzing historical data to improve supplier negotiations and reduce costs by 8%.

• Contributed to implementation of barcode scanning systems and standardized warehouse inventory workflows. TECHNICAL PROJECTS

• Automated File Sorter - Developed a Python and Linux CLI utility to automatically organize files by extension; scheduled execution using crontab for continuous file system management.

• Server Activity Logger - Created a Bash and psutil-based script to log CPU and RAM usage, generating weekly performance summaries via email notifications for system health tracking.

• API Uptime Monitor - Deployed a FastAPI microservice on Ubuntu EC2, integrated with AWS CloudWatch to monitor API uptime and send alerts upon failure or latency thresholds.

• GCP Cloud Storage Automation - Built a Python and gsutil script for automated log file uploads to Google Cloud Storage, scheduled using cron to ensure regular data backups.

• Ride Share Management System - Designed a full-stack application using Python, Tkinter, and SQL to manage users, bookings, and routes for a mock ride-sharing platform.

• E-Vehicle Dynamic Charging Planner - Implemented a Python-based optimization algorithm to calculate ideal charging schedules for electric vehicles, minimizing time and energy costs.

• Soil Nutrient Detection via IoT - Engineered a real-time IoT system using Python and sensors to monitor soil quality and nutrient levels for precision agriculture applications.

• Snowflake Data Dashboard - Built ETL pipelines in Snowflake and integrated with Tableau to create interactive dashboards for business intelligence and strategic decision-making.

• Web Scraping Chatbot - Developed a Python-based chatbot that scrapes content from URLs and uses the GPT-4 API to answer contextual questions based on extracted data.

• What We Should Drink (Humor Site) - Created a lightweight, interactive front-end web application using JavaScript and CSS, designed for entertainment and humor with playful user engagement. EDUCATION

• Masters of Science in Information Systems GPA-3.8 Aug 2022 – May 2024 Central Michigan University, MI, USA

• Bachelor of Engineering in Electronics and Communication Engineering CGPA-7.79 Sep 2017 – Sep 2021 Anna University, Tamil Nadu, India

CERTIFICATIONS

• Google Cloud Professional Database Engineer

• Red Hat Certified System Administrator (RHCSA)

• Certifications in Python, C, and R Programming

• Business English Certification

• CompTIA A+ (In Progress)

• CompTIA Network+ (In Progress)

• Cisco Certified (Training Underway)

VIRTUAL JOB SIMULATIONS & EXPERIENCES

• Electronic Arts – Software Engineering Virtual Experience - Proposed a new game feature, created class diagrams, and optimized legacy data structures using C++ for performance efficiency.

• Walmart USA – Advanced Software Engineering - Designed a heap-based data structure in Java and built UML and ER diagrams to model backend systems for shipping and retail management.

• Verizon – Cloud Platform Job Simulation - Conducted command-line security audits, researched cloud-native best practices, and proposed strategies for secure deployment in hybrid cloud environments.

• PepsiCo U.S. – Data Science Virtual Internship - Developed Python and SQL dashboards to analyze consumer trends, market segmentation, and regional sales data; delivered visual insights via interactive reports.

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