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About Me
Education
Skills
Hobbies
Experience
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About Me
Sharwani Dudam

Hi, I'm

Sharwani Dudam

Data & Business Analyst

A data enthusiast and recent M.S. Information Systems graduate who loves turning messy problems into clean, actionable insights. I've spent time in business consulting and research, so I know how to bridge the gap between numbers and real-world decisions.

Outside of work, I'm all about fashion, finding the perfect outfit for every occasion, and building the ultimate skincare routine. I'm currently on the hunt for my next opportunity in data science or analytics — and always up for a great conversation.

Education

Education

M.S. May 2026
🎓

Operations Management & Information Systems

Northern Illinois University

Data Analytics Business Intelligence Information Systems Operations
B.S.
💻

Computer Science

BV Raju Institute of Technology

Algorithms Data Structures Software Engineering Databases
Skills

Skills

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Languages

Python Pandas NumPy Scikit-learn Matplotlib SQL MongoDB
📊

Visualization

Power BI Tableau Excel Pivot Tables Data Modeling
🤖

ML & AI

NLP Sentiment Analysis Logistic Regression Random Forest TensorFlow PyTorch Model Evaluation
📈

Statistical Tools

R Statistical Analysis A/B Testing
⚙️

Tools & Platforms

SAP S/4HANA ETL Pipelines Data Quality Assurance Jupyter Notebook
🔁

Version Control & Methods

Git GitHub Agile Requirements Gathering Process Mapping
Experience

Experience

Total Quality Logistics

Business Strategy Consultant

📍 Lombard, IL
Jan 2026 – May 2026
  • Collaborated within a 6-member cross-functional team across 3 weekly strategy and client review meetings over a 5-month consulting engagement.
  • Delivered 2 formal presentations to 10 client managers and senior leadership, communicating analytical findings and strategic recommendations.
  • Evaluated 12 AI tools across employee retention, sales, customer service, and hiring — recommending 6 tools with implementation strategies for TQL leadership.
  • Developed a Gen Z-targeted social media strategy across Instagram, YouTube, and X, providing a data-driven content framework to expand TQL's brand presence.
  • Enhanced TQL's Freight for Disaster program by proposing domestic improvements and developing an international expansion framework.
  • Utilized Power BI, PowerPoint, Excel, and Word to conduct research, build visualizations, and deliver professional business deliverables.
Power BI Excel PowerPoint AI Strategy
IL-BRFSS Laboratory – Northern Illinois University

Research Assistant

📍 DeKalb, IL
Apr 2025 – May 2026
  • Conducted 100+ live telephone interviews with U.S. residents as part of the Illinois Behavioral Risk Factor Surveillance System (IL-BRFSS), the nation's largest continuously conducted health survey.
  • Collaborated within a 50+ member research team, dedicating 20–35 hours per week across academic and summer terms.
  • Collected, entered, and cleaned behavioral health survey data ensuring accuracy and consistency across records used by Illinois state and county health departments.
  • Built reports and dashboards using Power BI and Excel to visualize survey findings, supporting research supervisors in tracking behavioral health trends across Illinois communities.
Power BI Excel Data Cleaning Health Research
Projects

Projects

🔬

Glaucoma Detection Using Deep Learning

Python TensorFlow Keras ResNet-50
98.48%Accuracy
99.30%Sensitivity
97%AUC
  • Built an automated glaucoma detection system with a 5-member team using ResNet-50 transfer learning across 4 retinal image datasets (G1020, RIM-ONE, ORIGA, DRISHTI-GS).
  • Implemented full preprocessing pipeline including grayscale conversion, data augmentation, and model fine-tuning.
  • Presented model findings and deep learning methodology to an academic audience, communicating complex medical imaging results clearly.
💬

Emotion Detection in Text Using NLP

Python NLTK Scikit-learn Pandas Matplotlib
98%Accuracy
  • Built an NLP pipeline with a 4-member team to classify multiple emotions (happiness, sadness, anger, fear, surprise) from text sentences paired with emojis.
  • Trained and evaluated Naive Bayes, Logistic Regression, and Random Forest models on a large labeled dataset.
  • Presented findings and model methodology to the Dean and faculty, effectively communicating complex NLP techniques to a senior academic audience.
🎮

Interactive Arcade Game

Python Pygame Tkinter
  • Developed a fully functional arcade game as part of a 4-member team, implementing core gameplay mechanics with a real-time dynamic scoring system.
  • Built complete game features including multi-level progression, animations, background design, sound effects, and music.
  • Presented the project to a women in technology organization, showcasing the game as a first independent software development achievement.
Certifications

Certifications

🐍

Automate Boring Stuff with Python

Udemy
2024
📐

Learning Machine Learning (Calculus)

LinkedIn Learning
2023
📊

Data Analytics Job Simulation

Deloitte Australia · Forage
May 2026
💹

Quantitative Research Virtual Experience

JPMorgan Chase · Forage
June 2026
Hobbies

Hobbies

Life isn't all data and dashboards. Outside of work, I'm a fashion lover, food explorer, and photographer. I believe the same curiosity and attention to detail that makes me a great analyst also makes me really good at finding the perfect outfit, the best local spot, and the right filter for golden-hour shots.

Fashion
Food
City
Photography
Exploring
Contact Me

Contact Me

Have an opportunity, a question, or just want to say hi? Fill out the form below and I'll get back to you!

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