Shubham Ingole

Spearheaded data-driven program development and reporting by supporting senior leadership with data quality assessments, MIS updates, and donor-aligned pitch decks and reports. Conducted statistical analysis and interpreted program data for monthly/annual reporting (MPRs, ARs), aligned with donor and HQ requirements.

Streamlined ETL processes by automating data extraction, transformation, and loading using Python and Apache Airflow, reducing processing time by 40% and improving system reliability. Designed and automated data pipelines for extraction, modeling, and structured loading into databases, enhancing data accessibility and accuracy.

Executed client-driven projects involving human image labeling and LiDAR sensor data annotation, tailored to AI training requirements. Conducted monitoring, evaluation, and auditing of the labeling process to ensure data accuracy and quality compliance.

Currently pursuing a Master of Science in Data Science, focusing on advanced data analysis techniques and methodologies. This program is enhancing my skills in leveraging data for strategic decision-making and business optimization.

Grade: 62%

Completed a Diploma in Mechanical Engineering, gaining practical knowledge and technical skills in the field. This program laid the groundwork for further studies and professional development in engineering.

Grade: 67%

Completed secondary education, achieving a solid academic foundation. This period focused on core subjects and prepared for higher education.

Grade: 7.2 / 10

Obtained a Bachelor's degree in Mechanical Engineering, developing strong problem-solving and analytical skills. This foundational education provided a systematic approach to complex challenges and technical understanding.

Grade: 3.8/4.0

Completed a Post Graduation in Data Science and Artificial Intelligence with a specialization in Data Engineering. This program provided a strong foundation in data modeling, pipeline automation, and advanced analytical techniques.