Sanjeev Penupala

❖ Tools - MATLAB, JavaScript, QUnit, FuncUnit ❖ Enhanced Simulink with a preview feature that empowers users to visualize design space parameters via pairwise plots and tables before running simulations, speeding parameter testing time up to 50%. ❖ Introduced a parameter grouping functionality in the Multiple Simulations UI in Simulink, simplifying the process of configuring batch simulation runs and cutting parameter setup time by 60%. ❖ Led rigorous testing, employing mocking and unit test frameworks to establish 15+ test cases to ensure code resilience and reliability.

❖ Tools - Python, Facebook Prophet, Azure Databricks ❖ Pioneered an end-to-end (data collection, pre-processing, model generation) ML financial forecasting system utilizing Facebook Prophet to estimate cloud computing costs, improving projections for the annual budget. ❖ Designed 12 predictive models to categorize costs and identify areas of overspending across cloud environments. ❖ Presented stakeholders with an interactive Databricks dashboard, analyzing historical trends and empowering data-driven decisions based on 1000+ data points across all predictive models.

A 5-phase project centered on Data Analytics and Information Retrieval in the Legal domain. Phase 1 focused on a supervised learning classification task to identify argumentation in legal corpora. ❖ Tools - Python, pandas, Matplotlib, scikit-learn, Doccano ❖ Crafted a 2-layer ML classifier system to identify 5 unique argumentation patterns within legal case transcripts, achieving accuracy rates of 94% and 78%, respectively (on relatively balanced datasets). ❖ Augmented data cleaning scripts to identify and remove 700+ conflicting labels from the labeled dataset for subsequent re-labeling, to improve overall classifier accuracy. ❖ Refined annotation guidelines for data labeling, increasing annotator agreement by 40% for improved data consistency. ❖ Authored an unpublished research paper that comprehensively documents all stages of the research project, showcasing my contributions and insights.

❖ Conducted engaging martial arts classes weekly for diverse student cohorts of up to 60 individuals spanning ages 4 to 50, emphasizing holistic development encompassing physical prowess and mental discipline. ❖ Collaborated closely with DISC-trained instructors to customize lesson plans, effectively catering to varied learning styles and optimizing student engagement and progression. ❖ Spearheaded monthly workshops dedicated to refining board-breaking techniques, offering personalized 1-on-1 coaching sessions to address individual learning needs. ❖ Managed daily administrative tasks, including student registration, equipment inventory, and scheduling, ensuring streamlined operations and timely communication with students and parents.

❖ Academic Excellence Scholarship (AES) ❖ Dean’s List (Top 10%): Fall 2018, Spring 2019 ❖ Magna Cum Laude

❖ STEM concentration ❖ AP Scholar (8+ AP Classes)