Sep 2023 – Aug 2024 · 11 mos · On-site

• Implemented EMI Pay Propensity Score system, boosting monthly recovery rates by 20% and slashing manual calls by 50%, optimising recovery for 10-11K students each month.
• Utilized PySpark within Google Cloud Dataproc cluster to efficiently process and analyze large-scale datasets, enabling streamlined extraction of insights and generation of monthly performance reports for a student base of approximately 2 million.
• Led transformative project for UPCS exam prep, gathering diverse domain nouns using NLP and Spacy, leveraging GPT-4 for tailored student support, benefiting over 7 lakh students.
• Implemented a "Karma Points" system to boost student engagement, incorporating metrics like content consumption , questions attempted and test accuracy, resulting in a 60% increase in participation. Introduced weekly cash prizes based on total points gained to further incentivize performance.

Feb 2023 – Sep 2023 · 7 mos · On-site

• Experienced in building and maintaining ETL pipelines on Apache Airflow framework in Python, supporting up to 9 Lakh daily active users.
• Proven ability to handle monitoring tasks, production issues, and debugging Airflow Dag runs.
• Expertise in Pandas to process data from MongoDB and extract actionable insights.
• Automated internal task flows led to a 40% reduction in issues raised and an 80% reduction in TAT.
• Created the EMI recovery flow, resulting in a 50-60% reduction in operational costs and a 100-120% increase in EMI recovery.
• Created a Mandate signing flow that has significantly enhanced our success rate, elevating the count from 88% to an impressive 95% Mandate signing achievement.
• Developed and implemented a suite of App Script automations that streamlined content and marketing operations.

Jun 2022 – Jul 2022 · 1 mo · Chandigarh, India · On-site

• Received comprehensive training on various aspects of Data Science under the guidance of experienced mentors at NITTTR, Chandigarh.
• Explored diverse topics in Data Science, including data preprocessing, exploratory data analysis, machine learning algorithms, and data visualization techniques.
• Engaged in hands-on project work, to apply Data Science concepts and methodologies.
• Developed a strong foundation in Data Science principles and acquired valuable skills that can be applied to future projects and professional endeavors.