Transportation Engineer

Raghupathi Kandiboina

515-***-**** *************@*****.*** Ames, IA

Professional Summary

A highly motivated and experienced transportation engineer with four years of experience in traffic safety analysis and big data analytics. Proven ability to leverage connected vehicle datasets exceeding 2.5 trillion data points on Amazon Web Services

(AWS) for intelligent transportation systems (ITS) applications and traffic management solutions. Skilled in performing traffic impact studies, crash analysis, parking studies, and bicycle and pedestrian facility evaluations. Strong background in statistical modeling, machine learning, and deep learning for transportation analytics, contributing to data-driven decision-making. Experience includes developing roadway traffic plans, contributing to ITS plans, and a proven track record in research and publications. Eager to leverage technical expertise and contribute to innovative transportation solutions within public traffic and autonomous vehicle domains. Passed the Fundamentals of Engineering (FE) exam and actively pursuing a PE license. Actively involved in business development and networking with clients and peers in the industry. Technical Skills

• Cloud Computing: Big data processing on Apache Spark on AWS (Glue, EMR, S3, Athena, MSK), Familiar with Big query

• Programming Languages: Python (pandas, numpy, geopandas, boto3, scikit-learn, pytorch etc.), R (tidyverse, statsr, dplyr, glmnet, caret, lm, polca, changepoints), SQL (Spatial queries), Pyspark, MATLAB

• Visualization: Tableau, ArcGIS, Python (Matplotlib, Seaborn), R (ggplot)

• Analytical Tools: ArcGIS Pro (Spatial Analysis), AutoCAD, MS Office, STAAD Pro Familiar with PostgreSQL

• Simulation: VISSIM (Traffic), SimCreator & SimVista (Driving Simulator), Synchro

• Transportation Domain: Crash data analysis, Highway Capacity Manual (HCM), Work Zone Safety, Traffic Operations, TSMO, CV Data Fusion, Signal Timing, Traffic fatalities reduction, Pedestrian accessibility, Mobility analysis Education

Iowa State University Ames, IA Expected Graduation May 2025 Doctor of Philosophy (Ph.D.) in Civil Engineering (Transportation Analytics), minor in statistics GPA: 3.81/4.00 Indian Institute of Technology (IIT) Bombay Mumbai, India Graduated August 2017 Master of Technology (M.Tech.) in Transportation Systems Engineering CGPI: 9.54/10.00 (3.82/4.00) University College of Engineering (JNTUK) Kakinada, India Graduated May 2015 Bachelor of Technology (B.Tech.) in Civil Engineering Score: 75.92/100.00 (3.05/4.00) Work Experience

Assistant Professor (Visiting) Wentworth Institute of Technology Boston Jan 2025 – Present

• Professional Teaching to undergraduate students on multiple civil engineering courses (Civil Engineering Materials, Highway Engineering Lab, and Applied Engineering Analysis). Supervising students on engineering design projects Pre-Doctoral Research Associate Institute for Transportation Ames, IA July 2024 – December 2024

• Developing ITS applications for Iowa DOT for traffic management and operations using multiple datasets.

• Leading proposal writing and research on five transportation projects, including crash detection and traffic safety studies Transportation Data Analyst (Graduate Research Assistant) Institute for Transportation Ames, IA August 2021 – July 2024 Real-Time Analytics of Transportation Data Lab:

• Managed data warehousing for large-scale connected vehicle data (2.5 trillion data points, 15 TB), using PySpark and AWS tools (S3, EMR, Glue), optimizing storage and saving over $3,000 per month for two years (40%)

• Performed statistical and machine learning modeling on large-scale transportation data for ITS applications.

• Extracting and processing sensor feeds from Wavetronix radars, loop detectors and other road side units

• Created interactive Tableau live dashboards to gain insights into traffic anomalies and crash predictions

• Applied NLP modeling to clean crash data narrations, for cleaning and removing PII (Personally Identifiable Information)

• Virtual detection of crashes using connected vehicle data in Iowa: Developed a crash detection framework utilizing 40 million data points per minute, achieving 90% accuracy. Applied feature engineering and statistical models (regression, latent class models, Changepoint detection, random forest, decision trees) to improve traffic management efficiency

• Fatal crash reduction taskforce: Conducted exploratory analysis of fatal crashes in Iowa, integrating data from connected vehicles, weather, traffic reports, cameras, and other sources to identify and address key factors contributing to fatalities. Assistant Professor (Transportation) College of Engineering and Technology Bhubaneswar, India October 2018 - Aug 2021

• Developed and executed student training programs on Artificial Intelligence and Machine Learning. Supervised graduate projects on traffic safety. Handled university level courses in traffic and transportation engineering Consultations IIT Bombay Mumbai, India 2016

• Assisted in data collection and cleaning and processing of large-scale safety and drunk & drive studies under Bloomberg Initiative on Global Road Safety (BIGRS) and Johns Hopkins International Research laboratory

• Contributed to travel time delay studies for Mumbai metro line-2

• Experimental design and analysis for speed-bump influence on driver using a driving simulator (15-kilometer virtual scenario) Honors and Awards

• Research Excellence Award, Registrar, Iowa State University - 2025

• Graduate and Professional Student Senate (GPSS) – Research Award, ISU -2025

• Excellence in Leadership Award, Engineering Student Council, ISU – 2024

• Jan-Kibbe Scholarship for excellence in transportation academics MoVITE – 2023

• Thomas J. Seburn Student Paper Award for research, MoVITE – 2023

• Rank 791/101429 (99.22 percentile) in Graduate Aptitude Test in Engineering-Civil Engineering, GATE-2015

• Dr. PL Pathi Award, Topper in Third Year, BTech – 2015 Leadership & Activities

President, Event Coordinator Transportation Student Association ISU, Ames, IA August 2022 – Present

• Lead the student chapter of Institute of Transportation Engineers (ITE), Organizing technical workshops (Tableau, ArcGIS, Python etc.) and field trips (Various traffic management centers) in collaboration with student and professional organizations.

• Won two - “Most Improved” awards among universities in the Midwest (Missouri Valley District ITE - MoVITE). Planning Committee Member Student Leadership Summit ISU, Ames, IA January 2023 – June 2023

• Planned and executed Student Leadership Summit 2023 at Cedar Rapids for six states of MoVITE district Presiding Officer General Elections of India 2019 Odisha, India April 2019

• Successfully conducted voting at a polling station with 400 voters with all due procedures, Coordinated 12 polling officers. Cadet National Cadet Corps (NCC) Andhra Pradesh, India August 2007 – May 2013

• Leadership, discipline, and national-level team coordination experience. Noted Publications

• Kandiboina, R., Ravichandra-Mouli, V., Basulto-Elias, G., Knickerbocker, S., Hawkins, N., & Sharma, A. (2023). A Real Time Freeway Crash Detection Framework using Connected Vehicle Waypoint Data. Transportation Research Record, 0(0). https://doi.org/10.1177/03611981241281740

• Kandiboina, R., Knickerbocker, S., Bhagat, S., Hawkins, N., & Sharma, A. (2023). Exploring the Efficacy of Large-Scale Connected Vehicle Data in Real-Time Traffic Applications. Transportation Research Record, 0(0). https://doi.org/10.1177/03611981231191512

Professional Associations

• Institute of Transportation Engineers (ITE)

• Association of Transportation Professionals of Indian Origin (ATPIO)

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