Surya Teja Email & Phone Number

Columbia, South Carolina, United States

• Responsible for setting up technical and functional requirements, data pipelines, data preparation, design, development, modelling, testing and deployment of advanced models in the AWS cloud.
• Conducted exhaustive study on various available Transformers models and estimated costing, system load, model performance, cost to performance metrics to decide on the best model that would yield the best results in.
• Exported data from Snowflake to S3 and created on-demand tables using AWS Lambda Functions and AWS Glue using Python and PySpark.
• Designed and implemented ETL pipelines on S3 files on data lake using AWS Glue.
• Leveraged Pandas, NumPy and other preprocessing libraries for Data Cleaning and Feature Engineering to incorporate the same into the pipeline component of the NLP workflow.
• Worked with 7TB of Unstructured Data for a classification problem and built NLP Pipelines which includes preprocessing, modeling and testing components.

New York, United States

• Estimated Kickstarter project consistency at 7% based on project description by Conducting a Similarity Analysis in python.
• Applied Text Pre-Processing Techniques on the data and did a similarity analysis on two of the key evaluation features which shows the project goals consistency on Kickstarter.
• Estimated that 36% of reddit content was regarding health issues in 2020 in python using NLP Techniques like LDA, TF-IDF etc.
• Applied text pre-processing techniques on the data and did Topic Modelling Analysis which gave a clear picture of the nature of content posted on reddit.
• Developed automated scripts to Scrape Kickstarter and Reddit Text data and build a corpus.
• Saved the web scraped data to GCS, and built ETL process to automated the data loading process.

Tampa, Florida, United States

• Responsible for building the data warehouse, data pipelines, data preparation, design, development, modelling, testing, deployment and integration with dashboarding tool in the Google Cloud.
• Developed automated scripts to scrape SEC 10k and YouTube data and build the data warehouse for companies in IT domain.
• Saved the data to GCS, created tables and saved to BigQuery and built ETL process to automated the data loading process.
• Employed multi core processing and leveraged GPU to reduce latency while scarping data and save to the cloud and built Data Pipelines in Airflow in GCP.
• Experience in building and architecting Multiple Data Pipelines, end to end ETL process for Data Ingestion and Transformations in GCP and coordinate tasks among the team.
• Developed python code for different tasks, dependencies, SLA watcher and time sensor for each job for workflow management and automation using Airflow tool.

Tampa, Florida, United States

• Extracted data from multiple source systems S3, Redshift, RDS and Created Multiple Tables/Databases in Glue Catalog by creating Glue Crawlers.
• Used AWS Data Pipeline for Data Extraction, Transformation and Loading from homogeneous or heterogeneous data sources and built various graphs for business decision-making using Python matplot library.
• Responsible for gathering requirements, analysis, design, development, model building, testing and deploying model in AWS Cloud Environment.
• Used AWS Glue Catalog with crawler to get the data from S3 and perform SQL query operations and JSON schema to Define Table and Column Mapping from S3 data to Redshift.
• In Tableau development environment, Supported Customer Service designing ETL Jobs, Dashboards utilizing data from Redshift.
• Wrote scripts for Schema Validation, Transformations and Logging and connected the same to a dashboarding tool.

Hyderabad, Telangana, India

• Translate functional and technical requirements into detail Specifications running on AWS using services EC2, ECS, RDS Aurora MySQL, SQS, SNS, KMS, Athena.
• Involved in gathering business requirements, logical modeling, database design, data sourcing and data transformation, data loading, SQL, and performance tuning.
• Structured multiple projects in Object Oriented Programming in python, developed dashboards in Tableau and executed cloud instances.
• Created Stored Procedures, Views and User Defined Functions to support the front-end application.
• Experience in developing Spark applications using Spark-SQL in Databricks for data extraction, transformation, and aggregation from multiple file formats.
• Preprocessed Data using pandas dataframes for generating throughput capacity, product to zip mappings based on inventory breadth constraints, initial inventory, and other flow related data.

Hyderabad, Telangana, India

• Used various AWS Services including S3, EC2, AWS Glue, Athena, RedShift, EMR, MS, Kinesis etc.
• Extracted data from multiple source systems S3, Redshift, RDS and Created Multiple Tables/Databases in Glue Catalog by creating Glue Crawlers.
• Used AWS Data Pipeline for Data Extraction, Transformation and Loading from homogeneous or heterogeneous data sources and built various graphs for business decision-making using Python matplot library.
• Saved Over $90,000 in Costs by utilizing Lean-Agile methods and by leveraging data achieved a 15.3% reduction in rollout times.
• Exported data from Redshift to S3 using AWS Glue Jobs, Pyspark Context, boto3 and repartition procedures to convert to parquet format using create dynamic frames.
• Visualized the data using Seaborn and Matplotlib to understand the relation between features and analyzed the statistical distribution of data.

Master Of Science - Ms, Business Analytics And Information Systems

Bachelor Of Technology - Btech, Mechanical Engineering