Time Delivery Data

NAVEEN REDDY GARLAPATI

+1-667-***-**** **********@*****.*** linkedin.com/in/naveen-reddy-garlapati https://github.com/naveen02589

EDUCATION

University of Maryland Baltimore County, Maryland Graduating May, 2024 Master’s in Data Science GPA - 4/4

National Institute of Technology, Andhra Pradesh May, 2019 Bachelor of Technology in Computer Science and Engineering GPA – 7.71/10 TECHNICAL SKILLS

Programming Languages C++, Python, SQL, Data structures, Algorithms, Object Oriented Programming Web Technologies HTML, CSS, Java script, JQuery

Machine Learning Algorithms Linear/Logistic Regression, SVM, Decision Trees, Random Forest, XGBoost, K-Means, PCA, Time series models, NLP(Natural Language Processing) Deep Learning CNN, BERT, Topic Modelling

Packages Scikit-Learn, Numpy, Scipy, Pandas, Matplotlib, Seaborn, NLTK, Open CV Frameworks Django, Flask

Databases & Big Data Framework MySQL, Oracle, SQL Server, Apache spark, Hadoop, MongoDB Platforms & Tools Jupyter notebook, Git, Weka, Rapidminer, Spyder IDE, Pycharm IDE, DialogFlow Operating Systems Linux, Windows

WORK EXPERIENCE

Accenture Bangalore, India: Advanced Application Engineering Senior Analyst Aug 19, 2019 – Aug 21, 2022 Worked as part of AI team, driving value to the clients by automating the complex workflows.

Responsibility includes Data preprocessing, Feature selection, Handling class Imbalance(if any), Model building, model optimization, data analytics and recommendations.

Architected and implemented ETL data pipelines to automate the purchase requisition to purchase order process, resulting in increased efficiency and reduced processing time.

Utilized Azure Form Recognizer to develop a content extractor for validating quotations against purchase requests, resulted in a 75% reduction in manual effort required to create purchase orders.

Designed, developed, and implemented Machine Learning models, including on-time delivery and price prediction, to improve supplier selection process and optimize inventory management for purchase order placement.

Analyzed historical purchase order data to identify catalog recommendations and opportunities for improvement, which contributed to 30% increase in revenue by reducing spend leakage.

Developed predictive maintenance algorithms using NLP and deep learning techniques, such as key phrase summarization and question answering using BERT transformer model.

Utilized NLP techniques, including Word2Vec and TF-IDF vectorizers, to extract text features and perform Catalog similarity matching. Additionally, employed POS tagging and NER models to extract entities, resulting in improved text analytics and classification.

Have hands on designing data storage using django REST API framework as well as developing Rest API’s for CRUD operations.

Blockchain Project - Indian Institute of Technology, Madras: Intern May 1, 2018 – July 6, 2018

Developed a peer to peer lending Application -Decentralized platform for unsecured loans using ethereum blockchain technology.

Proposed a Credit Score method to overcome risk of defaults and worked on loan risk management.

Environment: Ethereum Smart contract, d3.js, metamask ACADEMIC PROJECTS

Anomaly Detection in live video surveillance December 15, 2018 – April 20, 2019 This project is to detect anomalies like robbery, murder etc. in real time videos and notify the authorities concerned. Used Multiple Instance Learning (MIL) Ranking Model to predict segment level anomaly score, and CNN 3D for extracting spatial and temporal features of the video.

Environment: python, tensorflow

Prediction of Missing Items in Shopping Cart July 10, 2017 – November 25, 2017 Designed a software which predicts missing items based on the rules generated from previous data, offers available along with user-based prediction and recommends the missing items to customer Environment: Java, Weka, SQL, Association Mining, Classification

Contact this candidate