Machine Learning Data Scientist

VIJAY BOPPANA, Ph.D.

614-***-**** *******.*@******.*** Dr. Vijay Boppana, Ph.D. LinkedIn

PROFESSIONAL SUMMARY

Dynamic and accomplished professional with 8 years of teaching experience in academic settings, coupled with a robust background encompassing more than 10 years of research expertise. Demonstrated passion for data science and analysis, cloud computing, as well as AI & ML. Proven track record of effectively conveying complex concepts to diverse audiences, fostering an engaging and inclusive learning environment. Adept at integrating real-world application into academic curricula and staying abreast of the latest advancements in the fields of data science, cloud technology, and AI/ML. Eager to leverage this unique blend of educational and research experience in contributing to innovative projects and initiatives.

PROFESSIONAL EXPERIENCE

Data Scientist / Machine Learning Engineer

Milvian Group (Bellevue, WA) Jul 24 – Dec 24

Machine Learning Engineer / Data Scientist

Project Description: Designed and deployed scalable machine learning systems to optimize workflows, enhance sustainability, and improve decision-making across client and internal projects.

Implemented advanced machine learning techniques to enhance process efficiency and reduce costs.

Utilized AWS services, including SageMaker, Lambda, Step Functions, Glue, RDS (PostgreSQL), and S3, to build scalable ML solutions and robust data pipelines.

Developed occupancy prediction systems with automated training and batch inference, leveraging time-series forecasting methods for accurate predictions.

Applied advanced modeling techniques to refine multi-site forecasting and enhance system scalability.

Built CI/CD pipelines using AWS CDK and automated workflows with EventBridge and Step Functions to improve deployment efficiency.

Visualized analytical insights with Matplotlib, Seaborn, and plotly, fostering data-driven decision-making and cross-functional collaboration.

Machine Learning DevOps Engineer

SVAARY (Houston, TX) Jul 23 – Jun 24

MLOps for Computer Vision application (current): Designing End-to-End automated pipeline. Custom Chatbot Design:

AI Research Scientist (Computer Vision)

Heady Research Institute (San Jose, CA) Jun 23 – Aug 23 Pet Supervision Project (R&D):

Custom Algorithm Designer (HW/SW)

NasterQuest (Dayton, OH) Oct 22 – Aug 23

Multi-Constraint Scheduling Algorithm Design (R&D): FFT optimization by hidden pattern discovery (R&D): Adjunct Faculty / Graduate Teaching/Research Assistant Wright State University (Dayton, OH) 2013 - 2022

Taught and graded for over 500 students across 12+ courses (2014–2021) and contributed to research on efficient signed multiplier design and hardware Trojan detection, including documentation, presentations, and publication. Assistant Systems Engineer

Tata Consultancy Services (TCS) (Hyderabad, India) Dec 11 – Nov 12 Java Application Design with Model-View-Control (MVC) Architecture:

Project requirements gathered. Identified use cases, the classes required to support use cases, and the relationships between classes. Created class diagrams and refined them into an MVC UML class diagram. Created ERD to represent the Database schema.

Model (Database) created for data storage and queries (CRUD operations) using Oracle R-DBMS.

View (client-side) (UI or Front-End) created for the web application using HTML, CSS, and JavaScript

Controller between model and view layers is created in Java. Used Eclipse IDE for the complete web application development.

PROJECTS

Association of Multiple Features in an Image (Multi-class object detection) Jan 21 – Apr 21 Discovering the largest Mersenne prime number using parallel programming APIs. Jan 21 – Apr 21 Safe Trip (Team Project – COVID tracking app – Risk Score Prediction) Aug 20 – Dec 2 Travelling Salesman Problem (TSP) Aug 20 – Dec 20

PCA-SIFT: A more distinctive presentation for local image descriptors. Aug 20 – Dec 20 EDUCATION

Wright State University, Dayton, Ohio, Ph.D. in Electrical Engineering Wright State University, Dayton, Ohio, M.S. in Computer Engineering Wright State University, Dayton, Ohio, M.S. in Electrical Engineering TECHNICAL SKILLS

Programming Languages: Python, SQL, Shell Scripting, Bash Scripting ML Frameworks: Scikit-learn, TensorFlow, PyTorch, Keras Cloud platforms: AWS (SageMaker, EC2, S3, Lambda, RDS, Timestream DB, Dynamo DB, Glue, EventBridge, Step Functions)

Data Visualization: AWS (QuickSight, Glue DataBrew, SageMaker Studio), Matplotlib, Seaborn, Plotly Analytical tools: Jupyter Notebooks, PyCharm, MATLAB Databases: Oracle, MySQL, PostgreSQL, NoSQL

Big Data Technologies: Spark, Databricks

Statistical Methods: Hypothesis Testing, PCA, Regularization, Confidence Intervals, Statistical Significance Deep Learning Skills: R-CNN, ResNet50, Object Detection, Feature-Based Object Detection, Segmentation Techniques, Descriptor Matching Optimization

Parallel Computing: SLURM (sbatch), OpenMP, MPI, HPC, Supercomputer Interaction, Job Scheduling CI/CD Tools: Jenkins, Docker, Kubernetes, AWS CDK

Project Management Tools: Jira, Confluence, Bitbucket Operating Systems: Windows, LINUX, Ubuntu, WSL

CERTIFICATIONS

AWS Certified Machine Learning – Specialty Nov 2024 – Nov 2027

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