Kalyan Veluri

• Result oriented Cloud Data Engineer / Scientist with Stakeholder focus in niche and robust solutions for Cloud Migrations, Data Lake, Machine Learning Models, and BI applications across Marketing, Telecom and Gaming clients
• In depth technical and business knowledge from 5 years of professional progressive experience in the IT and Data Engineering (Structured and Unstructured/ Big Data) delivery consulting space
• Built ground-up Data Lake, Data warehousing and Machine Learning solutions leveraging various Frameworks (Hadoop, Spark, Docker, PyTorch, Tensorflow), Cloud services (AWS S3, Data Pipeline, Glue, EMR, Athena, Lambda and others) and programming languages (SQL, Python, Shell Scripting, Java)
• Extensive knowledge on Amazon Web Services (AWS) EC2, S3, Elastic Map Reduce (EMR) and also on Redshift, Identity and Access Management (IAM).
• Designed and developed solutions for On-Premise Enterprise Data Warehouse and Business Intelligence Solutions leveraging databases (Oracle, SQL Server, PostgreSQL) and tools (Informatica, Power BI, Tableau, and others)
• Proficient in SQL, PL/SQL programming skills like Triggers, Stored Procedures, Functions, Packages etc. in developing applications.
• Experience on Cloud Databases and Data warehouses (Confidential Redshift/RDS)
• Hands on experience on AWS cloud services (VPC, EC2, S3, RDS, Redshirt, Data Pipeline, EMR, RDS, SNS, SQS)
• Developed Spark code using Python/Scala and Spark-SQL for faster testing and processing of data.
• Experience with developing and maintaining applications written for Amazon Simple Storage, AWS Elastic Map Reduce, and AWS Cloud Watch.
• Experience in writing Down-Stream and up-Stream Pipelines using Python.
• Good exposure of automation of ETL process using Python and Shell script.
• Adept with Agile/Scrum, SDLC methodologies

American Sign Language 

• Detecting American Sign Language in real-time is implemented using convolutional neural network.
• Used ASL letter database of hand gestures from Kaggle. Used ReLU activation function and Adam optimizer.
• Using cv2, I was able to utilize the webcam on my laptop to capture frames and send them through the model to predict what class each frame was.

Facial Expression Recognition Challenge

• In this project, we will predict expression using data from csv file.
• Used the Facial Expression dataset from Kaggle by using Kaggle API and save in my google drive.
• Train and tested the dataset Using SVM, decision Tree and KNN classification algorithms to find the f1_score for each model.
• Perform grid search to find the best hyperparameters for different algorithms Display the f1-score for each model using data visualization

Business intelligence and Visualization

• Building a Business Analytic Data Mining Model using Microsoft BI Data Mining tool and OLAP Cubes.
• Used Adventure Work database that are already created to design and build DW Cubes for BI Project.
• Used Visual Studio SSDT to build and deploy the cube to SQL Server and Microsoft SQL Server Management Studio for Writing MDX queries to retrieve data.
• Visualized the data which is retrieved from Each MDX queries or Data Mining Results.

Web Log Parser (Python, Flask, AWS)

• Created a web application using python where the parser read the time log data files and determine the time author spent on each file.
• Used AWS as the cloud platform and Flask API to develop the web application.

Intentionally vulnerable web-application 

• This project is a web application developed though PHP, MySQL and JavaScript which is made vulnerable intentionally.
• There are many students with the attacking skills who don't know where to test or practice.
• This project gives a platform to practice those skills legally and gives better understanding of securing the web application.

AWS Certified Data Analytics – Specialty