Jun 2024 – Aug 2024 · 2 mos · Los Angeles, California, United States · Remote

Jun 2023 – Aug 2023 · 2 mos · Austin, Texas, United States · Remote

• Constructed a Logistic Regression predictive classifier Machine Learning model from scratch for 3 Million opportunities, utilizing SQL, ETL, and data modeling techniques, to predict customer retention post-7-day trial with an increased accuracy of 12%.
• · Executed insightful Exploratory Data Analysis (EDA), implementing effective data strategies to elevate data quality and lay a robust foundation for predictive modeling.

Jan 2023 – May 2024 · 1 yr 4 mos · Tempe, Arizona, United States · On-site

• Grader - Intermediate Database Management System (IFT 300)
• ASU, USA (Spring 2023 - Present)
• 1. Assisted the professor in grading assignments, quizzes, and exams for a class of 67 students enrolled in IFT 300 - Intermediate Database Management System
• 2. Reviewed and graded student work using a standardized rubric, providing feedback and guidance as needed
• 3. Conducted online office hours to provide additional support and answer student questions related to course material and assignments
• 4. Collaborated with the professor to ensure consistency in grading and to provide support for struggling students
• 5. Utilized Blackboard and Microsoft Excel to manage and organize student grades and feedback
• 6. Demonstrated an understanding of advanced database concepts, such as SQL, data modeling, and database design
• 7. Communicated effectively with students and faculty, providing constructive feedback and encouraging a positive learning environment.

Jun 2019 – Jul 2022 · 3 yrs 1 mo

• 1. Designed, developed, and maintained ETL pipelines capable of efficiently handling gigabytes and terabytes of data, ensuring seamless data transformation, loading, and validation.
• 2. Leveraged Apache Spark to enhance data processing efficiency, reducing processing times by 25% and enabling complex data analysis.
• 3. Utilized NoSQL Cassandra for robust data storage and retrieval, contributing to scalable data solutions and optimizing database performance.
• 4. Demonstrated a strong aptitude for Data Engineering, consistently delivering scalable solutions for intricate data challenges.
• 5. Spearheaded the development of a highly effective Data Validation module, streamlining processes and reducing manual efforts by over 75%, ensuring data accuracy and security.
• 6. Automated resource provisioning using Terraform, resulting in significant monthly cost savings of approximately $60K for the company.
• 7. Created and managed Jenkins jobs for automating CICD processes, encompassing containerized deployment, real-time processing frameworks, and batch jobs.
• 8. Spearheaded the overhaul of developer-centric deployment methods into a streamlined CICD framework, enhancing operational efficiency by 45%.
• 9. Orchestrated the automated deployment pipeline for the DBT documentation, using Docker, to Google Cloud Run. This streamlined the delivery of the DBT docs to the cloud for a seamless user experience.
• 10. Pioneered a parameter-based translation script in Python to efficiently translate DBT documents into multiple languages, expanding the tool's accessibility and usability.
• Skills:
• Data Pipelines · Shell Scripting · Data Visualization · Data Modeling · Data Warehousing · Database Systems · Python · Apache Spark · NoSQL Cassandra · ETL · Terraform · AWS · GCP · Java · ETL Pipelines · DynamoDB

Aug 2016 – Sep 2016 · 1 mo · Pune, Maharashtra, India

• Organized and Co-ordinated Technical Competition Events at Pune Institute of Computer Technology.
• The Event was more focused on Competitive C++ programming amongst the college Students.