Data Analyst Business Intelligence

TUSHULI AMOD PATIL

********@********.*** 217-***-**** www.linkedin.com/in/tushulipatil17/

EDUCATION

University of Illinois at Urbana-Champaign Aug 2023 - May 2025 Master of Science in Information Management GPA: 4.00/4.00 Related Coursework: Data, Statistical Models and Information, Data Warehousing and Business Intelligence, Information Consulting, Database Admin & Scaling, Database Design and Prototyping Savitribai Phule Pune University Aug 2019 - Jun 2023 Bachelor of Engineering in Electronics and Telecommunication GPA: 9.22/10.00 Related Coursework: Data Analytics, Database Management System, Project Management, Data Structures and Algorithms PROFESSIONAL EXPERIENCE

Principal Financial Group Pune, India

Trainee Engineer Intern Jan 2023 - Apr 2023

Analyzed infrastructure costs, usage patterns, performance metrics, and security using Python (Pandas, NumPy) to assess on-premises-to-cloud migration feasibility

Used Python (Matplotlib, Seaborn) to analyze historical downtime, disaster recovery metrics, and user satisfaction surveys, informing strategic decision-making for successful cloud migration

Integrated S3 (AWS) with API Gateway, resulting in a 54% reduction in access latency, establishing a secure application environment and enhancing overall system accessibility Fluorisense Pune, India

Data Science Intern Feb 2022 - May 2022

Integrated the 'Facedoc' Machine Learning model using Python and collaborated with a team to optimize an accurate model using VGGNet, ResNet, FisherFaces and EigenFaces

Developed this model for the Indian Police department, achieving an 85% accuracy rate in face recognition within moving vehicles

Enhanced the model's adaptability to varying angles, resulting in a 72% reduction in false negatives and contributing to a more reliable recognition system

Trainity Pune, India

Data Analyst Intern Aug 2021 - Oct 2021

Applied Python-based Exploratory Data Analysis (EDA) techniques to build a foundational understanding of risk analytics in banking. Utilized data insights to minimize lending risk and improve financial decision-making.

Discovered that 90% of prior canceled clients repaid loans, prompting a recommendation to implement a process for documenting cancellation reasons. Aiming to enhance future decisions and negotiations, creating opportunities for business improvement.

Identified that 88% of initially denied loan applicants eventually became repaying customers. Advocated for recording denial reasons to mitigate firm losses and explore alternative lending options. SKILLS

Languages: C++, Python, R, JavaScript, SAS

Business Intelligence: Tableau, Power BI, SQL, Neo4j, Cypher, MS Excel, MS Word, PowerPoint Open-source libraries: NumPy, Pandas, Matplotlib, Scikit-learn, SciPy, Seaborn, PySpark RELEVANT PROJECTS

Strategic Analysis of Predictive Features for Loan Default Reduction in Banking Nov 2023 – Dec 2023

Analyzed a dataset of 67,463 rows and 35 columns using Python and visualization tools

Employed various machine learning algorithms to predict loan defaulters, achieving 90.13% accuracy for the Logistic Regression model

Identified critical predictors of loan default, showcasing data preprocessing, EDA, and model evaluation skills Reducing Traffic Mortality in the USA Sep 2023 – Oct 2023

Analyzed road accidents dataset using drivers speeding, under alcohol influence and that has not previously been involved in an accident

Performed EDA and Clustering Techniques using Python and found accurate results up to 98%

Designed visually appealing dashboards to analyze and track data using Microsoft Power BI LEADERSHIP

TUSHULI AMOD PATIL

********@********.*** 217-***-**** www.linkedin.com/in/tushulipatil17/

SPPU -Head of Administrating Committee at Debsoc, Social media team head at the Pictoreal Club, Volunteer at Social Networking Forum.S

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