Machine Learning Data Science

DEVASHREE KIRAN PAWAR

Tucson +1-520-***-**** **************@*******.*** DevashreePawar https://github.com/DevashreePawar EDUCATION

University of Arizona

Master of Science, Data Science (STEM Designated)May 2026 Coursework- Foundations of Data Science, Data Analysis and Visualization, Database Development and Management, Data Mining. GPA: 4.0 University of Mumbai

Bachelor of Engineering, Artificial Intelligence and Data Science May 2024 Coursework: Artificial Intelligence, Deep Learning, Big Data Analytics, Machine Learning. GPA: 3.74 PROFESSIONAL EXPERIENCE

Machine Learning Intern, Care Risk Solution Pvt. Ltd, Mumbai, India May 2023 - July 2023

● Developed and optimized machine learning models to analyze banking data, addressing key data management and risk assessment challenges.

● Performed large-scale data mining and wrangling, improving data processing efficiency by 20% through advanced transformation techniques.

● Enhanced pattern recognition accuracy by 15% in customer transactions using feature engineering and model validation.

● Implemented predictive analytics for fraud detection and anomaly identification, improving risk assessment in financial transactions.

● Built interactive visualizations using Tableau and Power BI, providing actionable insights to support risk analysis and regulatory compliance. Data Analytics & Automation Intern, Bhundal Infotech, Mumbai, India December 2022 - January 2023

● Designed and automated end-to-end Robotic Process Automation (RPA) workflows, boosting operational efficiency by 20%.

● Developed and deployed RPA bots for data extraction, validation, and storage, enhancing data accuracy by 15%.

● Collaborated with business users to gather requirements and translate them into streamlined automation solutions.

● Optimized SQL queries to improve database interactions, ensuring faster and more reliable data retrieval.

● Created UiPath automation flows, reducing manual intervention in repetitive tasks and enhancing workflow consistency. ACADEMIC PROJECT/EXPERIENCE

Decoding E-commerce Trends and Insights September 2024 - December 2024

(Data Visualization, Data Analysis, R programming, Git Version control)

● Performed Exploratory Data Analysis (EDA) using R (tidyverse, ggplot2) to uncover customer engagement patterns across multiple sales channels.

● Applied regression analysis and time series forecasting to predict a 20% increase in fall technology and furniture sales in the Eastern region.

● Developed statistical models in RStudio, optimizing 20% discount rates to drive a 35% sales increase while maintaining profitability.

● Created advanced data visualizations (heatmaps, 3D scatter plots, Power BI dashboards) to transform complex data into actionable insights.

● Implemented Git version control for analysis tracking and ensured reproducibility across team members, improving collaboration.

● Collaborated with cross-functional teams, integrating analytical insights into marketing strategies, and showcasing strong communication and problem-solving skills.

● Check out the project here.

Understanding Financial Instability: A Predictive Model for Bankruptcy Risk September 2024 - December 2024

(Exploratory Data Analysis, Data preprocessing, Data Modelling, Machine Learning, Python Programming, Git Version control)

● Developed a high-accuracy (96.02%) bankruptcy prediction model using Python (Scikit-learn, Pandas, NumPy), processing 6,819 records with 96 attributes.

● Implemented SMOTE for data balancing and applied feature engineering techniques to enhance minority-class (3% bankruptcy rate) prediction.

● Optimized model using hypothesis testing and A/B testing, achieving strong evaluation metrics (F1-score ~95%, ROC-AUC ~96%).

● Utilized SQL and MSSQL for data extraction and preprocessing, ensuring high-quality data management throughout the analysis pipeline.

● Deployed the model using Azure cloud services with MLOps, automating workflows for retraining and evaluation.

● Documented technical specifications and methodologies using VSCode, showcasing analytical thinking and technical documentation skills.

● Check out the project here.

Voice-to-text Synthesis: An NLP-driven Note Generation from Audio Recordings July 2023 - May 2024

(NLP, TensorFlow, Python, Machine Learning, Git Version control)

● Developed an NLP solution using Python and PyTorch to automate note generation from audio recordings, enhancing workflow efficiency.

● Applied deep learning techniques (RNNs) to process and convert 100+ hours of audio data into structured text format.

● Performed extensive data wrangling and text preprocessing, improving model accuracy and reducing manual processing time by 40%.

● Implemented security concepts to protect sensitive audio data, laying the groundwork for future vulnerability scanning integration.

● Created automated testing workflows using Git and Azure DevOps, ensuring continuous model improvement and reliability.

● Led cross-functional coordination between developers and end-users, demonstrating team collaboration and problem-solving skills.

● Check out the project here.

SKILLS

● Programming Languages and tools: SQL, NoSQL, Python (Numpy, Pandas, Scikit-learn, PyTorch, Tensorflow, Keras), R (tidyverse, ggplot2, caret), RStudio, Power BI, Azure, MSSQL, Git(version control) Excel, VSCode, and Google Cloud Platform (GCP).

● Data Science & Analytics: Data Mining, Data Visualization, Data Wrangling, Data Warehousing, Machine Learning, NLP, Deep Learning (CNN, RNN and GANs), Feature Engineering.

● Security & Automation: Cloud computing using Azure and MLOps. Agile, Data Quality Management, Automation Workflows, and Security Concepts(keen on learning).

● Statistical and Quantitative Analysis: Regression Analysis, Hypothesis Testing, A/B Testing, Exploratory Data Analysis (EDA), and Time Series Forecasting.

● Soft Skills: Strong communication skills, team collaboration, cross-functional coordination, analytical thinking, technical documentation, and problem-solving skills. CERTIFICATIONS AND ACTIVITIES

● Certifications & Training: UiPath RPA Developer Advanced Certification, Python Coursera certification, Industry-Focused Training Workshop.

● Activities: Creative head with National Student Data Corp (NSDC), Technical and Student Body Head with Training and Placement Cell (PAT), Public Relations (PR), and Publicity Head with Sports Committee and Student volunteer at UA WILD in STEAM.

● Interests: Mathematics, Statistics, Data Science and Analytics, Classical Dance (Kathak), Event Management, Digital Marketing, and Social Media Management.

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