Summary
Overview
Work History
Education
Skills
Websites
Certification
Projects
Languages
Timeline
Generic

Charan Raju

Tempe,AZ

Summary

Aspiring Data Scientist with a strong background in AI/ML and computer engineering, seeking to leverage expertise in machine learning algorithms, data analysis, and cloud deployment to contribute to innovative projects in a dynamic organization. Eager to apply technical skills and collaborative experience to drive impactful solutions in a challenging role.

Overview

4
4
years of professional experience
1
1
Certification

Work History

AI/ML Intern

OneDrug Inc
Tempe, United States
06.2024 - Current
  • Project Overview: Building an AI-Assisted Mental Health Support dashboard for the Company’s website and mobile app
  • Computer Vision (CV): Building a real time emotion detection feature for the OneDrug’s website, which will assist the users to determine their current emotion.
  • Natural Language Processing (NLP): Utilizing advanced NLP techniques to analyze and interpret user language, tone, and emotional context, ensuring accurate understanding of user needs and emotions.
  • Machine Learning Algorithms: Applying machine learning algorithms to provide personalized recommendations, support, and interventions based on user inputs and historical data.
  • Personalized Feedback Systems: Developing real-time feedback systems that will offer users tailored coping strategies, mindfulness techniques, and resources based on their specific situations.

Data Science Intern

FOX Corporation
Tempe, United States
06.2023 - 11.2023
  • API Development and Integration: Designed and developed four critical Computer Vision APIs for face detection, emotion detection, and face embeddings using FastAPI, resulting in a 15% reduction in latency.
  • Cloud Deployment: Orchestrated the deployment of APIs on AWS Lambda, ensuring 99.5% uptime. Managed integration with AWS Sagemaker for model hosting and scalability.
  • Containerization and Microservices: Utilized Docker for containerization and Kubernetes for orchestration, streamlining the deployment process and enhancing system reliability.
  • Testing and Optimization: Conducted extensive testing using Postman, ensuring API robustness and efficiency. Implemented optimizations that improved processing speed and reduced computational load.
  • Collaboration and Documentation: Worked closely with cross-functional teams, including data scientists and frontend developers, to integrate APIs seamlessly. Documented API functionalities and deployment processes to facilitate knowledge sharing and maintenance.
  • Technology Stack: Leveraged PyTorch for model development, Docker for containerization, AWS Lambda and Sagemaker for deployment,FastAPI for API development, and Github for version control.

Programmer Analyst Trainee

Cognizant Technology Solutions
Bengaluru, India
08.2021 - 05.2022
  • Data Integrity and Query Optimization: Developed and optimized SQL queries to ensure data integrity and accuracy across various databases. Implemented complex joins, subqueries, and indexing strategies to enhance query performance.
  • Data Processing Enhancement: Led the transition from Talend to PySpark for data processing tasks, resulting in significant improvements in efficiency and processing speed. Designed and implemented ETL pipelines using PySpark to handle large-scale data transformations.
  • Automation and Reporting: Automated the generation of reports and dashboards using Power BI, providing actionable insights for stakeholders. Created data models, calculated measures, and interactive visualizations to support business decision-making.
  • Agile Methodologies: Utilized Agile methodologies to manage and deliver data analytics projects. Conducted sprint planning, daily stand-ups, and retrospective meetings to ensure timely project delivery and continuous improvement.
  • Technologies and Tools: Leveraged a range of tools and technologies including SQL, PySpark, Snowflake for data warehousing, Power BI for visualization, and Rally Agile for project management. Enhanced the data pipeline's reliability and performance through rigorous testing and optimization.

Intern

Cognizant Technology Solutions
Bengaluru, India
01.2021 - 05.2021
  • Technical Training and Skill Development: Completed training in DBMS, Java, Python, and data warehousing, gaining a strong foundation in core technologies. Applied these skills in practical scenarios to reinforce learning.
  • AWS Data Analytics Project: Led a team on an AWS data analytics project, which included designing data pipelines, setting up AWSservices, and performing data analysis. Achieved high evaluation scores for project performance and technical implementation.
  • Soft Skills and Collaboration: Developed strong communication and teamwork skills by collaborating with team members on project tasks.Delivered presentations and reports on project progress and outcomes.

Education

Master of Science - Computer Engineering

Arizona State University
Tempe, United States
05.2024

Bachelor of Engineering - Electronics and Communications

Dayananda Sagar College of Engineering
Bengaluru, India
05.2021

Skills

  • Python
  • R
  • C/C
  • Java
  • Oracle SQL
  • JavaScript
  • PyTorch
  • TensorFlow
  • Docker
  • Kubernetes
  • Tableau
  • AWS Services
  • Azure
  • Google Cloud
  • Git
  • PowerBI
  • Shell Scripting
  • Linux/Ubuntu
  • CI/CD principles
  • Computer Vision
  • NLP
  • FastAPI
  • Flask
  • Pandas
  • Numpy
  • Matplotlib
  • Snowflake
  • Machine learning
  • UI/UX design principles
  • A/B testing
  • Agile methodologies
  • SDLC processes

Certification

  • Oracle Database SQL Certified Associate 1Z0-071, Udemy
  • Object-oriented programming using C++, NIIT
  • Career Essentials in Generative AI, Microsoft and LinkedIn

Projects

  • Smart Classroom Assistant Using AWS: Developed a cost-efficient smart classroom assistant leveraging AWS Lambda for serverless computing, significantly reducing infrastructure costs by 40%.
  • Emotion Detection Using Haptics and Facial Expression: Developed a novel emotion detection technique combining visual perception and haptics, achieving a final model accuracy of 84.5% by integrating CNN and ANN models.
  • Voice Command Processing Microservice: Designed and implemented a scalable microservice for processing voice commands using Java, Spring Boot, and Elasticsearch.
  • Website UI Improvement and A/B Testing for Blinkee.com: Enhanced the user interface of Blinkee.com through iterative design improvements and A/B testing, resulting in a 40% reduction in task completion time.
  • Indian Sign Language Conversion Using Machine Learning: Created a real-time gesture recognition system for Indian Sign Language using TensorFlow, achieving a 93% accuracy rate.
  • Detection of Emotion from Texts Using Python: Developed a tool for emotion detection in textual data using sentiment analysis techniques, achieving an 89% accuracy rate.

Languages

English
Native/ Bilingual
Kannada
Native/ Bilingual
Telugu
Native/ Bilingual
Tamil
Native/ Bilingual
Hindi
Native/ Bilingual

Timeline

AI/ML Intern

OneDrug Inc
06.2024 - Current

Data Science Intern

FOX Corporation
06.2023 - 11.2023

Programmer Analyst Trainee

Cognizant Technology Solutions
08.2021 - 05.2022

Intern

Cognizant Technology Solutions
01.2021 - 05.2021

Master of Science - Computer Engineering

Arizona State University

Bachelor of Engineering - Electronics and Communications

Dayananda Sagar College of Engineering
Charan Raju