Summary
Overview
Work History
Education
Skills
Timeline
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Soma Chandra Sekhar Attaluri

Vancouver,BC

Summary

  • Implemented NLP algorithms to intelligently interpret symbols from textual information, enabling real-time display on the Head-Up Display (HUD) for seamless integration of road signs and alerts in an Advanced Driving Assistant System.
  • Leveraged NLP in ADAS to enhance human-vehicle interaction, enabling hands-free control through voice recognition for navigation, communication, and in-car functionalities.
  • Conducted a cybersecurity project using recurrent neural network models on the CICIDS 2018 dataset, contributing to intrusion detection and enhancing security measures.
  • Earned a Master's degree in Cybersecurity, providing a solid foundation in security principles, threat analysis, and risk management, with direct applications in data science and machine learning.
  • Led initiatives to examine driving behavior, suggesting measures for safety and efficiency improvements, and building models for classifying driver behavior based on internal sensor data.

Overview

2
2
years of professional experience

Work History

Research Engineer

Hyundai Mobis
07.2019 - 12.2021
  • work on implementing of voice recognition in Audio4Value infotainment system used in Hyudai premium cars which involves training models on vast datasets of spoken language, utilizing techniques such as Automatic Speech Recognition (ASR) for transcribing audio into text.
  • performed data preprocessing on Driver Behavior Analysis Dataset using pandas and numpy.
  • analyzed and interpreted complex automotive data to uncover trends patterns and get some actionable insights.
  • Implemented and proposed a novel technique for collecting critical vehicle performance data, leveraging the OBD-II diagnostics protocol to gather real-time information through the car's communication port.
  • Utilized sensors integrated into vehicles to gather a diverse set of operational data, including speed, motor RPM, paddle position, and more than 50 other parameters, eliminating the need for additional sensors.
  • Applied machine learning techniques, specifically SVM, AdaBoost, and Random Forest, to classify driver behavior into ten categories, including fuel consumption, steering stability, velocity stability, and braking patterns.
  • Conducted in-depth analysis and visualization of driving behavior using line plots and correlation matrices, comparing performance across various drivers.
  • With the solutions obtained from Data collected and analyzed from brakes ,suspension systems and CAN is used in programming of ECU's.

Education

Short Term Course - Data Analysis

NPOWER
Vancouver, BC
12.2023

Master of Science - Cyber Security

New York Institute of Technology
Vancouver, BC
05.2023

Bachelor of Science - Electrical Engineering

Gayathri Vidya Parishad
Visakhapatnam,india
04.2019

Skills

Languages: Python, Java, SQL, C
Python Packages: Pandas, Numpy, Torch, Tensorflow, Keras, Transformers, Scikit-Learn, PySpark, Matplotlib, Plotly,Dash, Tox, FastAPI
Version Control and Collaboration: Git, Jira
Cloud Services: Azure
Machine Learning and Deep Learning Algorithms:

Decision Trees, Random Forest, XGBoost, CNNs, RNNs, GANs,LSTM
NLP Techniques: Word Embeddings, Sentiment Analysis, Text Generation, Transformer Models, Langchain
Databases: Microsoft SQL Server, MySQL, SQLite

Timeline

Research Engineer

Hyundai Mobis
07.2019 - 12.2021

Short Term Course - Data Analysis

NPOWER

Master of Science - Cyber Security

New York Institute of Technology

Bachelor of Science - Electrical Engineering

Gayathri Vidya Parishad

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Soma Chandra Sekhar Attaluri