Ankush Tonde
Fairfax,VA
Summary
An energetic, motivated candidate with two years of demonstrated industry experience, specializing in the development and management of ETL pipelines and the creation of website analytics dashboards for an insurance domain client, is seeking a data analytics intern position.
Overview
2
2
years of professional experience
Work History
Data Engineer & Analyst
Tata Consultancy Services
Hyderabad, Telangana, India
09.2021 - 08.2023
- Worked with USAA, an insurance company serving U.S. military members, veterans, and their families.
Collaborated on ETL tasks, focusing on data integrity and pipeline stability.
Led performance tuning efforts that enhanced data loading into Snowflake, resulting in a 68% speed improvement.
Reviewed code to align with TCS data engineering standards, ensuring error-free work delivery.
Ensured data loading into Snowflake using Control-M for meeting business needs, covering monthly, daily, and weekly pipelines.
Collaborated with the business team to meet dashboard requirements, maintaining adherence to design principles.
While much effort was dedicated to dashboard creation and client interactions for improvements, data checks were also conducted to ensure compliance with business requirements, thus preventing redundancy or misrepresentation in the dashboards.
Education
Master of Science - Data Analytics Engineering
George Mason University
Fairfax, VA05.2025
Bachelor of Science - Mechanical Engineering
Anurag Group of Institutions
Hyderabad, Telangana, India07.2021
Skills
- Good analytical skills
- Presentation and communication skills
- Informatica (ETL Tool),Control-M, GitHub
- SQL, Data warehouse: Snowflake
- Programming languages C, Python
- Visualization skills: Numpy, Seaborn, Matplotlib, Pandas, Tableau
Projects
Have done project on analysing Comcast telecom data, which involves identifying areas for improvement in regards to the complaints. I have also done an end-to-end project on an application which predicts the resale house price using machine learning algorithms. It includes right from cleaning the data to making it a user web application by stream lit library of python which is backed up by machine learning algorithms. I have also done analyses on data collected from Spotify, which included collecting each song’s frequency tone, pitch, speechiness, musicalness, popularity, danceability, energy and tempo and have done analyses to find out which songs tend be popular and what are the features which make it popular.
Timeline
Data Engineer & Analyst
Tata Consultancy Services
09.2021 - 08.2023
Master of Science - Data Analytics Engineering
George Mason University
Bachelor of Science - Mechanical Engineering
Anurag Group of Institutions