Artificial Intelligence, Data Analysis

Rashi Wase

Hoboken, NJ, ***** *********@*****.*** 551-***-**** LinkedIn

EDUCATION

MS in Applied Artificial Intelligence Stevens Institute of Technology Hoboken, NJ GPA: 3.96 May 2024 Honors: Valedictorian, Graduate Scholarship of $10,000 for exemplary academic performance Relevant Courses: Applied ML, Big Data Analytics, Deep Learning, Pattern Recognition & Classification, Multivariate Data Analysis B. Tech in Computer Engineering Vishwakarma Institute of Technology Pune, India CGPA: 8.01 June 2022 Relevant Courses: Data Structures and Algorithms, OOP, Database Management Systems, Natural Language Processing SKILLS

• Programming languages: Python, R, SQL, C++, Java, C, HTML, CSS, JavaScript, MATLAB

• Frameworks & libraries: TensorFlow, Keras, PyTorch, Scikit-learn, OpenCV, Pandas, Numpy, Seaborn, Flask

• Software & Tools: Visual Studio, Anaconda, Jupyter Notebook, Colab, R studio, Microsoft Suite (Excel, Word, PowerPoint), AWS

• Database, ETL & Visualisation tools: MySQL, Oracle 11g, MongoDB, Informatica, IICS, Tableau, Power BI

• Strengths: Detail-oriented, communicative, analytical thinker, adaptable, persistent, proactive, continuous learner, leadership EXPERIENCE

Data Science Intern Baha Industries Corp. dba Open Systems Technologies, Inc. New York, NY September 2024 - Present

• Deployed scalable resume filtering AI system using Python, Flask, MongoDB, Pinecone improving candidate matching efficiency

• Researched and applied scalable database and algorithms, optimizing AWS-hosted architecture, reducing processing time by 30% AI Engineering Intern Sphere Solutions Remote, Hoboken, NJ January 2024 – October 2024

• Developed YOLO for car damage detection with precise segmentation and damage localization through Computer Vision techniques

• Supervised and performed image annotations using tools like Supervisely, Label Studio, and CVAT, alongside data augmentation and model training optimization with TensorFlow and PyTorch, ensuring high-quality datasets

• Collaborated with cross-functional teams to define and refine requirements for AI-driven features, ensuring high-quality annotations and dataset organization that improved workflow efficiency by 15% Data Analyst Intern WelSpot LLC Remote, Hoboken, NJ June 2023 - August 2023

• Documented database architecture and AI model workflows, enhancing cross-team alignment and improving data accessibility for product development

• Boosted serialized data comprehension by performing entity resolution leading to 20% increase in loan decisioning accuracy

• Optimized predictive model accuracy by 15% by mapping data for 7 key loan factors and identifying underlying elements Data Integration Intern, Artificial Intelligence and Analytics Cognizant Pune, India February 2022 - July 2022

• Designed a data analysis system applying data warehousing, ETL, database design, big data fundamentals, increasing data processing efficiency by 30%

• Employed IICS to import source and target files, executing mappings, transformations, and workflows for 5 functional requirements

• Led a group of 50 members as cohort representative, revamping team cohesion and project efficiency Research Intern, Machine Learning and NLP SpadeWorx Software Services Pune, India June 2019 - July 2019

• Conducted sentiment analysis on product website reviews, deriving actionable insights and boosting customer feedback accuracy

• Implemented text summarization through NLTK and Spacy, retaining key information and improving data processing speed by 15%

• Assessed 4 datasets with SVM, KNN, decision trees, linear and logistic regression, achieving an 88% accuracy rate ACADEMIC PROJECTS

Speech-Driven Emotion Recognition for Enhanced Movie Recommendations

• Created a speech data classification system utilizing LSTM and GRU neural networks, attaining 97.25% accuracy

• Processed and analyzed 12,000 audio samples with MFCCs, spectrograms, waveform analyses, and data augmentation, ensuring comprehensive model training

• Analyzed and refined emotion-based recommendations, elevating user experience and model performance Eye Fundus Image Classification using Deep Learning

• Built a CNN-based image classifier for cataract prediction, securing over 85% test accuracy

• Processed and analyzed 6392 diagnostic records with Pandas and OpenCV, enhancing model accuracy by 15%

• Created and visualized classification reports and confusion matrices with Matplotlib and OpenCV Home Loan Default Detection

• Evaluated creditworthiness of loan applicants in the consumer finance industry for 39,000 records and 112 features

• Conducted extensive exploratory data analysis (EDA) to uncover key insights about the customer base

• Applied ML models including logistic regression, SVM, decision trees, random forests, XGBoost, ANN for predictive analytics

• Achieved validation performance exceeding 97% on metrics such as accuracy, sensitivity, f1 score, and precision ACTIVITIES AND AWARDS

Stevens Institute of Technology - Commencement Speaker, Class of 2024, Secretary - Stevens Graduate Women in Business, Graduate Peer Leader and Mentor - Guided 1200+ students, organized campus tours, and oversaw sessions with academic mentors fostering academic excellence & personal growth Awards: Outstanding Graduate Student Leader, Duck Pride Award, Home Away from Home Award Vishwakarma Institute of Technology - IEEE Pune Section - Member Event Planning and Execution Committee - Manager, Social Welfare and Development Committee Volunteer

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