HIMANSHU NAIDU

MS Data Science, University of Washington, Seattle.

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About

I am a Masters student of Data Science at the University of Washington, Seattle.

Currently, I am working at the Taskar Center for Accessible Technology, engaged in multiple fields, not limited to Computer Vision, Information Retrieval and Data Science, applying these skills to various domains such as fact verification, transportation equity and accessibility.

Previously, I worked as a Full-Stack developer at Societe Generale and ServiceNow, where I also contributed to Mobile App Development as the Agile Scrum Master. I thus have hands-on experience in taking products from inception to production in various environments.

The diverse experiences I've had throughout my journey have provided me with a solid foundation in data science, machine learning, data engineering, and software development.

Let’s connect and explore how we can collaborate to create something amazing!

Experience

Graduate Research Assistant

Sep 2023 - Present

The Taskar Center for Accessible Technology, Seattle, WA, USA

Sep 2023 - Present

  • Led a team of 5 developers to develop iOSPointMapper, an accessibility-focused application, leveraging GIS, LiDAR and Computer Vision, to enhance sidewalk mapping for individuals with disabilities.
  • Utilized a Convolutional Neural Network (CNN) model in PyTorch, with a precision score (mAP) of 70, enabling on-device semantic segmentation for key accessibility points of interest.
  • Tools: Swift, PyTorch, Firebase, Convolutional Neural Network, Deep Learning, Agile Framework

Data Science Intern

Jun 2024 - Aug 2024

eScience Institute, Seattle, WA, USA

Jun 2024 - Aug 2024

  • Spearheaded the development of a comprehensive Python package to facilitate advanced analyses of transit fare card (ORCA) data, enabling transit agencies to better understand transit usage patterns among diverse demographic groups.
  • Developed heuristic and machine learning algorithms (e.g., ARIMA), along with in-depth Geospatial analysis, to identify areas in with gaps in low-income ridership, consequently guiding targeted distribution of low-income fare cards.
  • Engaged with King County Metro, providing insights on better serving low-income populations.
  • Tools: PostgreSQL, PostGIS, Python, Statsmodels, GeoPandas, Shapely, Networkx, Tableau, Statistical Testing, Regression

Software Engineer

Dec 2021 - Jul 2023

ServiceNow, Hyderabad, India

Dec 2021 - Jul 2023

  • Optimized resource planning and allocation for 3600 large-scale enterprises, through design and development of the Resource Management application using JavaScript and Web components.
  • Addressed over 40 customer support cases related to Resource Management and Timecard Management, leading to cost savings of over $2 million for customers (e.g., $110,000 for Medica)
  • Accomplished the successful delivery of 3 high-quality mobile apps by leading the Mobile App Development team for SPM org.
  • Tools: Javascript, React, Node.js, PostgreSQL, MongoDB, HTML, CSS, Angular 7, GPT-3
  • Awards: Llama Award, March, 2023, for leading the Mobile App Development team

Intern

May 2018 - Jul 2018

Embel Technologies Private Limited, Pune, India

May 2018 - Jul 2018

  • Reduced inventory management time by over 15%, and improved personalized marketing experience for supermarket clientele, by implementing a data analytics plugin for the Java supermarket application.
  • Streamlined administrative processes for school management by developing an Android application.
  • Tools: Java, SQL, Android Studio, Firebase

Tutor

May 2016 - Jul 2017

JB Tutorials, Pune, India

May 2016 - Jul 2017

  • Taught Science and Maths to students of Grades 8, 9, and 10 (CBSE and SSC boards of India).
  • Leveraged graphic design skills on Photoshop for marketing and promotions.
  • Tools: Photoshop

Education

University of Washington

Jun 2024 - Aug 2024

Master of Science in Data Science

  • CGPA: 3.98
  • Courses: Introduction to Statistics and Probability, Data Visualization, Applied Statistics and Experimental Design, Machine Learning, Statistical Machine Learning, Machine Learning for Big Data, Human-Centered Data Science, Scalable Data Systems and Algorithms

Vellore Institute of Technology

Jun 2015 - Jun 2019

Bachelor of Technology in Computer Science and Engineering

  • CGPA: 3.98
  • Courses: Data Structures and Algorithms, Database Management Systems, Operating Systems, Computer Networks, Software Engineering, Artificial Intelligence, Machine Learning, Image Processing, Data Mining, Calculus for Engineers, Applied Linear Algebra
  • Co-curricular: Outreach Head of Anokha NGO, Core-Committee Member of VIT Trekking Club

Sinhagad Spring Dale Public School

Jun 2003 - Jun 2015

High School

  • CGPA: 9.8

Key Skills

Programming Languages

Python, Javascript, Java, SQL, HTML/CSS

Others: R, Swift, Bash, C++

Database Management

PostgreSQL, MySQL, MongoDB, Firebase, Knowledge Graphs

Cloud Computing

AWS EC2, AWS S3, ServiceNow Platform

Others: AWS Neptune, Azure OpenAI Service

Data Science

Data Analysis, Data Wrangling, Data Visualization, Statistical Analysis, Hypothesis Testing, A/B Testing

Machine Learning

Regression, Unsupervised Learning, Deep Learning, Natural Language Processing, Large Language Models, Computer Vision, Recommender Systems

Libraries: PyTorch, TensorFlow, Keras, Scikit-learn, Statsmodels, PySpark

Others: HuggingFace Transformers, OpenCV

Data Visualization

Tableau, Matplotlib, Seaborn, Plotly

Software Development

React, Nest.js, Node.js, Express, Swift UI

Others: Web Components, Flask, Android Studio (Java)

ServiceNow Development

Glide Scripting, Seismic Framework, Jelly Scripting

Projects: Resource Management, Time Card Management, Strategic Portfolio Management

Others

Tools: Git, Docker, Jenkins, Agile

Skills: Project Management, Stakeholder Engagement

Publications

ClaimVer: Explainable Claim-Level Verification and Evidence Attribution of Text Through Knowledge Graphs

2024

Conference on Empirical Methods in Natural Language Processing (EMNLP) Findings

Preetam Prabhu Srikar Dammu, Himanshu Naidu, Mouly Dewan, YoungMin Kim, Tanya Roosta, Aman Chadha, Chirag Shah

AI-based wavelet and stacked deep learning architecture for detecting coronavirus (COVID-19) from chest X-ray images

2023

Computers and Electrical Engineering

Rajkumar Soundrapandiyan, Himanshu Naidu, Marimuthu Karuppiah, M. Maheswari, Ramesh Chandra Poonia

DOI: https://doi.org/10.1016/j.compeleceng.2023.108711

A Fast and Efficient Convolutional Neural Network for Fruit Recognition and Classification

2021

Recent Trends in Image Processing and Pattern Recognition (RTIP2R)

Himanshu Naidu, Rajkumar Soundrapandiyan, K.C. Santosh, P.V.S.S.R Chandra Mouli

DOI: https://doi.org/10.1007/978-981-16-0507-9_13

A Model for an Efficient Paramedic System in Towns and Cities

2018

Journal of Computational and Theoretical Nanoscience

Himanshu Naidu, Arpit Srivastava, R Manjula, S Rajkumar

DOI: doi:10.1166/jctn.2018.7564

Projects

Seattle Crime Hotspot Analysis

Seattle Crime Hotspot Analysis

Machine Learning, Data Analysis

  • Identified smaller, high-density crime areas overlooked by traditional approaches by conducting clustering analysis using HDBSCAN and 5 other clustering algorithms.
  • Analyzed the stability and evolution of the identified micro-clusters across census tracts by developing and applying an algorithm leveraging Wasserstein distance and Linear Sum Assignment.
Customer Churn Analysis

Customer Churn Analysis

Data Analysis

  • Validated the association of various feature sets with churn by conducting hypothesis tests, leading to more informed decision-making in predictive modeling.
  • Reduced the feature set by 6 for predictive modeling, through Lasso Regression and developed a Logistic regression model accordingly.
In-Depth Analysis of US Road Accidents

In-Depth Analysis of US Road Accidents

Data Visualization

  • Developed a national statistics dashboard and an interactive map to present and visualize US road accidents from 2016 to 2023.
Magium

Magium

Software Development

  • An open-source recreation of Magium, a choose-your-own-adventure game created by the late author Christian Mihailescu
GRE Verbal Tester

GRE Verbal Tester

Software Development

  • Developed a GRE verbal tester to help students improve their GRE verbal reasoning skills.
  • Improved own GRE score by 13 points (from 322 to 335) by practicing with the verbal tester.
Content-Based Image Retrieval

Content-Based Image Retrieval

Machine Learning, Image Processing

  • Implemented several content-based image retrieval (CBIR) algorithms based on traditional ML, from scratch in Java.
  • Algorithms: Discrete Wavelet Transforms, Genetic Algorithm, K-Means Clustering, Local Binary Patterns, Micro-Structure Descriptor

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