Balarama Krishna Pothamsetty
Boston, MA-***** 857-***-**** ***********.*@************.***
Linked in: https://www.linkedin.com/in/balaram-krishna-pothamsetty-158a555a/
ETL DEVELOPER:
Around 7+ years of professional experience working as a ETL Developer, Data Analyst with diverse industry verticals like banking and telecommunications.
Education:
Northeastern University – Master’s in Analytics, Boston, MA
Courses: AWS, Big data, Probs and Stats, Visual Data Analytics, Data Mining, Predictive Analysis
Vellore Institute of Technology: Computer Science
Courses: Sql, Java, Oops, OS, Design Patterns, AI, Data Mining.
Technical Knowledge:
Programming Language: Python(pandas,numpy), R, SQL, Pl/SQL, Shell Scripting, Unix, SFTP/HTTP. OBIEE Administration
Tools : Tableau, AWS, R-Studio, Cloudera, Data Bricks, AutoSys, Informatica Power-center, GCP, Alteryx.
Data Base : MySQL, Teradata, Vertica, Hive, MongoDB, Big data Analysis, GCP
Professional Experience:
ETL Developer, Tata Consultancy Services, Hyderabad, India – Client AT&T September 2016 - June2018
Developed and migrated the legacy system using ETL transformations.
Code peer review and testing.
Experienced working in Agile Environment.
Collaborated with DA’s and Business Mangers in requirement gathering, defining project scope and delegating work.
Engineered critical Ad-hoc requirements and provided efficient solution delivery within the SLA.
Developed a performance improvement model for risk free deployments that reduced release time by 60%.
Awarded certificate of recognition for outstanding contributions in project implementation.
Data Analyst, Bank of America- Hyderabad, India sJune 2018 - September 2020
Interpreting data, analyzing results using statistical techniques.
Developing and implementing data analyses, data collection systems and other strategies that optimize statistical efficiency and quality.
Acquiring data from primary or secondary data sources and maintaining databases.
Developed Visualizations using Tableau, R.
Worked with management to prioritize business and information needs.
Academic Projects:
United States Road Accident Analysis 2020: AWS Cloud Jan 2021 - Present
The goal of this project is to analyze and understand the various big data tools and their applications on large real-world datasets and how to analyze and gather useful insights using these tools. To do the necessary analysis, I have used AWS services such as S3, Athena, Glue, SageMaker, QuickSight.
FIFA 2019: Tableau Desktop September 2020 – December 2020
Created visualizations using Tableau Desktop to analyze the player statistics.
Used predictive models to get the best analyzing factors.
Created visualizations in data bricks, AWS.
Loan Lending: Tableau, R March 2020 – August 2020
This project is structured on a business module to support organizations in loan business.
Classification models and determining the best model with highest accuracy against the prediction attribute.
Used Logistic Regression, Random Forest, KNN Classification model, Support Vector Machine Model.
Internship/Co-op:
Defense Research and Development Jan 2016 – May 2016
Intern trainee – Developed a module to calculate the inclinations of missiles.
Certifications:
Microsoft Certified Professional.
Azure administration Essentials.
Achievements:
Won First Prize in “OPEN HOUSE PROJECT EXHIBITION” conducted by SITE department in 2012.