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Senior Machine Learning Engineer / Data Scientist

Heicoders Academy

Instructor

Gojek

Data Scientist

Data Analyst

Kuprion Inc

R&D Assistant

Fave

Growth Planner

Nanyang Technological University

Research Assistant

Xfers

Marketing Analyst

🤖 I use analytics, machine learning and deep learning to fight spam content at work. Classic ML algorithms, time series analysis, natural language processing, or computer vision are just some examples of the techniques I’ve used.

🧑‍🏭 I like learning and teaching things! I'm a chemical engineer turned data scientist. I self-learnt pretty much everything to move into tech. I'm now pursuing my Master's in Computer Science, teaching at a data science bootcamp, and sharing data science knowledge online.

Let’s connect. 
Personal site: https://www.travistang.com
Email: travistang.vh@gmail.com

Travis Tang

TechStar Group

Data Engineer

Tata Consultancy Services

•	Utilized SQL and PySpark for data manipulation, aggregation, and transformation, ensuring data accuracy and quality.
•	Collaborated with the Admin team to automate, access to users through data sharing concept, monitor ELT pipelines, ensuring consistent and reliable data processing.
•	Variables in DBT allowed to parameterize SQL code, making it more dynamic and reusable across different contexts.
•	The DBT dependency graph visually represented the relationships between different DBT models and their dependencies.
•	Processed and involved executing the SQL statements in your DBT models to transform the data. The compilation phase involves parsing, analyzing and building dependency graph of DBT project.
•	Bug fixing, gathering requirements and designing new solutions.
•	ELT pipelines in and out of data warehouse using combination of python and snowflakes snow SQL, writing SQL queries against snowflake. 
•	Analyzing existing data across multiple different source systems and designing data model for the new Data Mart.
•	Designing transformation logic to standardize data in Data Mart, Data Mapping between source and target system.
•	Created and maintained documentation for data pipelines, ensuring clarity in design, implementation, and troubleshooting processes.
•	Experienced in using IT Service desk, JIRA and Remedy Application tool for updating the incidents, service, change and problem tickets to track the issues.
•	Utilized SQL to create complex queries for data transformation and validation, ensuring data accuracy and quality.
•	Implemented ELT processes using various tools, to extract, transform, and load data from heterogeneous sources into a target.
•	Working closely with team, the business and the development team to deliver high quality solutions.
•	Prepare release notes on weekly basis for deployment. Work on Change request (CR's) from Business users. 
•	Participate in the Standup, MOM (Minutes of meeting), UAT Signoff and weekly project review meetings.

IT Analyst

Cinntra Info Tech Solutions Pvt. Limited-Leading & Premium SAP & Oracle Implementation Partner

•    	Supporting day to day technical issues of the Business users. Troubleshooting production issues, identify root cause and migrate fixes.
•	Worked with Bronze (Raw), Silver (Cleanse) and Gold (Final output) layers in Delta Lake to perform the duplications and business logics in Databricks.
•	Contributing quality ideas and work for an organization where there is a sample scope to grow for an individual as well as organization growth in Software Development.
•	Collaborate with team of OLAP process, Data Architecture, Business Intelligence and best practices.
•	Implemented ETL/ELT processes to extract, transform, and load data from heterogeneous sources into a target, using SCD, CDC and Incremental/Bulk loads.

Software Developer

Mindsoft IT Solutions PVT.LTD

Associate Software Engineer

☁️ Cloud                                --> Microsoft Azure
👨 Data Lake {Storage}          --> Azure ADLS and Delta Lake/Delta Tables
🤖 ETL/ELT Pipeline                --> Azure Databricks (Apache Spark) and DBT Cloud 📚
💻 Cloud Database                --> Snowflake❄ [Data warehouse 🗄️]
📊 BI/Visualization                 --> OBIEE (Oracle Business Intelligence)
⚙️ Programming Languages --> Python🐍 & SQL🛢

Analyzing, designing, transforming data using Snowflake Cloud (Datawarehouse), DBT (Data Build Tool) Cloud and SQL with ETL/ELT process. worked with Azure Databricks with Apache Spark and Python. A team player and a highly motivated individual willing to learn new technologies and methods related to data analysis. Able to adapt to different work culture and always ready to accept new challenges.

	Contributing quality ideas and work for an organization where there is a sample scope to grow for an individual as well as organization growth in Software Development.
	Strong experienced in the Analysis, design, development, testing and implementation of business solutions and Data Lake/Datamart/Datawarehouse design. 
	Part of the implementation project, responsible for developing the new Data mart will act as a centralized repository for the whole of Target and source systems
	Designed, developed, and maintained ELT pipelines for processing and transforming data from source into a target. Collaborated with data architects to design and implement data models and schemas suitable for big data processing.
	Experienced in Data Modeling using Star & Snowflake Schema, Fact and Dimension tables. 
	Data Modelling, performance tuning, Data analysis and data cleansing and supporting day to day technical issues of the Business users. 
	Troubleshooting production issues, identify root cause and migrate fixes.
	Worked with Bronze (Raw), Silver (Cleanse) and Gold (Final output) layers in Delta Lake to perform the duplications and business logics in Databricks.
	Supporting day to day technical issues of the Business users. Troubleshooting production issues, identify root cause and migrate fixes.
	Contributing quality ideas and work for an organization where there is a sample scope to grow for an individual as well as organization growth in Software Development.
	Strong communication, collaboration and interpersonal skills with proficiency in grasping new technical concepts quickly.
	Experience in Snowflake (Datawarehouse), Implemented ELT processes, ingestion, transformations, and loading data from data lake and data warehouse.

Ravi Teja Padala

taplio

The Battle

Travis Tang

Ravi Teja Padala

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