Data Science Computer

AISHANI S. PATIL

Mobile: +1-216-***-**** Email – *****.*******@*****.*** Linked In - Aishani Patil GitHub ID - Aisha-AI-Dev EDUCATION

Case Western Reserve University (Cleveland, Ohio) Aug 2024 - May 2026 M.S. in Computer Science (AI Focus)

Relevant Coursework: LLM, Statistical NLP, Probabilistic graphical models. MGM Jawaharlal Nehru Engineering College (Maharashtra, India) July 2015 – June 2019 B.E. in Electronics and Telecommunication

TECHNICAL SKILLS

• Programming Languages: Python, R, C/C++/Embedded C, SQL (Postgre), MATLAB.

• Cloud & MLOps: Azure (ML & Data Services), GCP, Docker, Git/GitHub, CI/CD for ML, Model Deployment & Monitoring.

• Libraries: Scikit-learn, PyTorch, TensorFlow, Prophet, BNLearn, Seaborn, SpaCy, NLTK, PPS

• Techniques: ML, Deep Learning, NLP, Time Series Analysis, Feature Engineering, Model Optimization and Deployment, Exploratory Data Analysis, Data Visualization, Predictive Analysis, Transformers, Statistical Hypothesis Testing. WORK EXPERIENCE

Case Western Reserve University (Cleveland, Ohio) Aug 2024 – Present o Graduate Research/Teaching Assistant (Predictive Modeling)

• Developing NLP models to analyze data privacy policies, improving comprehensibility via web scraping and ML.

• Working on Project CRUX to develop an NLP-based search algorithm for a Neo4j knowledge graph of XRD data. Kyndryl India Pvt. Ltd. (formerly IBM) (Maharashtra, India) Jan 2020 – Aug 2024 o Senior Associate, Data Science and AI (May 2022 – Aug 2024)

• Led the development of AI-driven data platforms to optimize revenue within the CIO Data Science & AI team.

• Designed forecasting models and optimization algorithms for revenue prediction and management, improving accuracy by 35%, and aiding in fiscal budget planning for 3,000+ global clients with 4M+ customer records.

• Developed models for customer segmentation, lifetime value prediction, and delinquency risk assessment.

• Designed an NLP-powered PowerBI analytics platform that automated NPS tracking and Impact Score calculation using sentiment analysis (Python/SpaCy), replacing a third-party SaaS solution and delivering significant cost savings.

• Led SDLC (design to deployment) using Agile methodologies. Collaborated with engineers to deploy scalable solutions.

• Built a model to predict payment timelines/churn risk from historical data, closing data gaps and improving accuracy. o Data Scientist (May 2021 – May 2022)

• Automated invoice processing using AI (NLP/text extraction), and deployed a Flask web app, cutting processing time by 95% ($1M+ annual savings) and ensuring scalability.

• Managed large-scale data migration from IBM to Azure, ensuring compliance with new data standards.

• Built a real-time global data reconciliation & alert system, integrating chatbots and messaging, boosting issue resolution by 20%.

• Determined asset valuation and ownership through financial data analysis for accurate financial reporting. o Associate Trainee Engineer (Jan 2020 – May 2021)

• Designed and implemented mainframe solutions (using JCL) aligned with client business objectives. Leveraged data analytics to identify process improvement opportunities in high-volume transaction environments.

• Automated mainframe processes (e.g., IPL, system health monitoring) to reduce manual effort by 40%. RESEARCH PROJECTS

• Emergence of Arithmetic Capabilities in small-scale from-scratch Transformer Models: Trained transformer model from scratch using PyTorch, achieving state-of-the-art performance on arithmetic tasks.

• Hybrid Retrieval System for Enhanced RAG: Designed a novel hybrid retrieval framework integrating semantic search and dense vector indexing to improve contextual relevance and optimize language model outputs in RAG systems

• Recommender system: Designed and optimized KNN, SVD, and DNN models for movie recommendations and personalized selection, improving accuracy through hyperparameter tuning and RMSE/MAE evaluation. ACTIVITIES AND CERTIFICATIONS

• IEEE Students' Council Joint Secretary (2018-2019); Founding Member (Jinicakes Startup)

• Microsoft Certified (Azure Fundamentals); IBM Cognitive Practitioner; IBM Data Science Foundation Certified

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