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Shantanu Gupta
1. SHANTANU GUPTA
Tempe, Arizona 85281 | 612 991 9234
shantanu10193@gmail.com | github.com/shantanu-93 | linkedin.com/in/shantanugupta7
BRIEF OVERVIEW
Highly motivated professional with 5 years of relevant industry experience in Data Analysis, Cloud Computing and Web
Development. Actively looking for internship opportunities in Machine Learning and Data Science roles.
ACADEMIA
Master of Science in Computer Engineering Aug 2019 – May 2021
Arizona State University, Tempe AZ GPA: 3.33/4.0
Bachelor of Technology in Information Technology Aug 2010 – May 2014
Harcourt Butler Technical University, Kanpur India GPA: 3.5/4.0
TECHNICAL SKILLS
Programming: Java, Python, SQL, JavaScript
Tools/Frameworks: AWS EC2/S3, Hadoop, Spark, Git, Elastic, Logstash, Kibana, Kafka, REST, ActiveMQ, Swagger, Flask
ML Libraries: TensorFlow, Keras, scikit-learn, OpenCV, Pandas, NumPy, matplotlib
PROJECTS
Fitness Tracking from Sensory Data Fall 2019
- Feature extraction and analysis of sensory data from fitness trackers to recognize and monitor the day-to-day human
activities such as walking, eating, sleeping using Machine Learning algorithms (PCA and Logistic Regression).
- A study showed a 60% improvement in users successfully meeting daily fitness objectives.
Pattern Recognition in Hand Images Fall 2019
- Created image recognition software achieving 95% accuracy implementing algorithms for data cleaning, feature
extraction and dimensionality reduction for efficient similarity searches using PCA/LDA techniques.
- Implemented Machine Learning algorithms for clustering (K-Means and DBSCAN) and classification (SVM and k-NN).
Comparison study of Email Spam detection techniques Fall 2019
- Surveyed techniques to detect email spam using probabilistic and non-probabilistic models with 95% precision.
- Prototyped and analyzed accuracy and performance of Logistic Regression and Support Vector Machines models.
Handwritten Digit Recognition Spring 2020
- Implemented programs to recognize handwritten digits from images with 98% precision in TensorFlow and Keras.
- Experimented with Logistic Regression, Multilayer Perceptron and Convolutional Neural Network for optimal precision.
PROFESSIONAL ACCOMPLISHMENTS
Data Intelligence and Cloud Developer, ASU Smart City Cloud Innovation Center Feb 2020–Present
Scottsdale AZ
- Utilizing AWS cloud services to build prototypes for smart city initiatives in a collaboration between ASU & AWS.
- Building a central information management system for Tempe city council listing shelter resources and local jobs.
- Brainstorming a city Graffiti Abatement project analyzing recordings from Waste Management vehicle cameras for
automatic graffiti detection and geotagging for further action.
Senior Associate Technology, Publicis Sapient Jun 2018–Jul 2019
Minneapolis MN
- Curbed major losses to the company in the range of $100K per week on online orders by fixing complex, long pending
production issues by identifying patterns in faulty orders.
- Prototyping Proof of Concepts for modern headless architecture application leading to a successful global launch in
more than 80 countries.
- Helped save business owners 4 hours per day by creating a data visualization application aggregating data from various
SAP modules to make informed decisions regarding inventory needs and revenue forecasting.
Associate Technology, Publicis Sapient Aug 2014–May 2018
Noida India
- Reduced wait time on website from minutes to seconds by designing a database index scan of more than 15M records
in Couchbase Server. Boosted performance of the e-commerce platform with SQL optimization.
- Reduced call volume by 40% for customer care division for shipment queries by integrating FedEx Service into checkout
process to estimate delivery times and online tracking of order deliveries from portal using RESTful web services.
- Enhanced business process by developing a module for back order management from online portal for business admins
and sales reps. Helped users track open orders data online instead of backend SAP management system.