About Me
- I'm Rahul Sridhar, a Computer Science graduate with a specialization in Machine Learning and Data Science
- My interests lie in applied Machine Learning (Supervised and Unsupervised), Deep Learning (Neural Networks), and other techniques entailed in Data Science to tackle real-world business problems using data
- Feel free to contact me at rahul.rsridhar@gmail.com or connect with me on LinkedIn
Education:
- M.S. in Computer Science from the University of California, Irvine (Sep 2016 - Dec 2017)
- B.E. in Computer Science from Anna University, India (Aug 2010 - Apr 2014)
- Staff Data Scientist / Senior Manager I, Data Science at Walmart Labs (Sep 2021 - present)
- Senior Data Scientist at Walmart Labs (Aug 2019 - Sep 2021)
- Data Scientist at Walmart Labs (Jun 2018 - Aug 2019)
- Data Scientist Intern at Conversica (Feb - May 2018)
- Computation Student Intern at the Lawrence Livermore National Laboratory (Jun - Sep 2017)
- Decision Scientist at Mu Sigma, India (Aug 2014 - Apr 2016)
- Graduate Teaching Assistant for two undergraduate Informatics courses at the University of California, Irvine (Apr – Jun 2017, Sep – Dec 2017)
- INF 132: Projects in Human Computer Interaction
- INF 161: Social Analysis of Computerization
- Received the “Impact Award“ at Mu Sigma for showing utmost ownership, dependability and grit in all endeavors and always going the extra mile to do the best for the engagement
- Awarded the “Best Outgoing Student” out of 150 students of my undergraduate Computer Science department
- Completed the "Mu Sigma Decision Scientist – Beginner" Certification
- Elected School Pupil Leader for a student population of close to 1,600 students
- Coursera Certifications:
- Five courses in Andrew Ng’s Deep Learning specialization (TensorFlow, Keras, Convolutional Neural Networks, Fully Connected Neural Networks, Recurrent Neural Networks/Sequence Models, Transfer Learning)
- Introduction to Recommender Systems
- R Programming
- The Data Scientist’s Toolbox
For more details about the projects I have worked on, click here.