Front-End Stack Developer

SAI NANDITHA GARLAPATI

New Haven, CT ***** 203-***-**** ********************@*****.***

Motivated and detail-oriented Full-Stack Developer with a strong foundation in front-end and back-end technologies. Skilled in designing and building responsive web applications, with a passion for learning new technologies and solving complex problems. Dedicated to writing clean, efficient code and collaborating in team environments.

Front-End: HTML, CSS, JavaScript, React.js, Bootstrap Back-End: Node.js, Express.js, Python, Java

Databases: MySQL, Firebase

Version Control: Git, GitHub

Port Authority Passenger and Bus Predictions (August 2023 – December 2023)

Conducted in-depth analysis of Port Authority datasets to identify key insights and travel patterns using R Studio.

Performed Exploratory Data Analysis (EDA) in Power BI to identify peak travel times and weekday departures.

Delivered data-driven recommendations to optimize scheduling and resource allocation, improving operational efficiency.

Developed and maintained a web-based application for real-time data visualization, allowing stakeholders to access travel predictions and insights.

Integrated backend services with the front-end interface to display real-time predictions of travel demand and peak travel times.

Implemented a robust database structure to store and query large volumes of passenger data efficiently.

Inventory Management Analysis of Walmart (January 2024 – May 2024)

Evaluated Walmart's inventory management strategies, focusing on stock replenishment, demand forecasting, and supply chain efficiency.

Analyzed the effectiveness of Walmart’s just-in-time (JIT) inventory system and its supplier integration, leveraging statistical methods.

Built predictive models in R to forecast product demand and recommended strategies for inventory optimization.

Built a full-stack inventory management dashboard that integrates forecasting models and provides real-time inventory updates.

Developed APIs to connect the front-end dashboard with backend databases for seamless updates on product stock levels.

Analysis of U.S. Food Imports: Trends, Sales, and Patterns (August 2024 – December 2024)

Prepared and cleaned large datasets in Microsoft Excel to ensure accuracy and consistency for analysis.

Designed interactive dashboards in Power BI, visualizing key trends, regional import hubs, and SUMMARY

SKILLS

PROJECTS

top trading partner rankings.

Communicated findings effectively through engaging visualizations and detailed written reports, enabling stakeholders to identify growth opportunities and optimize import strategies.

Developed secure authentication and authorization protocols to restrict access to sensitive trade data.

Integrated APIs to pull real-time data from external sources and update dashboards with the latest trends and import patterns.

Certified Entry-Level Python Programmer (PCEP-30-02) – Maximiliano Firtman

Data Science Foundations: Data Mining in R – Barton Poulson Master of Science, Business Analytics (3.8/4.0) 05/2025 University of New Haven, CT.

Bachelor of Science, Computer Science 05/2022

ISTS Women’s Engineering College, Rajahmundry, Andhra Pradesh. CERTIFICATIONS AND ACHIEVEMENTS

EDUCATION AND TRAINING

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