Machine Learning Data Science

DHWANIL MORI

Arlington, VA • *.****@***.*** • +1-202-***-**** • github.com/Dhwanil25 • linkedin.com/in/dhwanil-mori/ EDUCATION

The George Washington University, Columbian College of Arts and Science Washington, DC Master of Science, Data Science expected May 2026

Honors: GW Global Leaders Award.

• Coursework: Introduction to Data Science, Data Mining, Data Warehousing, Machine Learning, Cloud Computing, Visualization of Complex Data

Gujarat Technological University Ahmedabad, India

Bachelors of Science, Computer Science (AI/ML) Jun 2020- May 2024

• Coursework: Data Structures and Algorithms; Artificial Intelligence; Machine Learning Essentials; Big Data Analysis; AI in Healthcare and FinTech; Image Processing; Database Management Systems; NLP; DL TECHNICAL SKILLS

Languages: Python, R, SQL

Developer Tools: Power BI, Tableau, Microsoft Excel, Jupyter Notebook, RStudio, TensorFlow, PyCharm, Neo4j, MySQL, MSSQL, VS Code, Hadoop, Spark, GitHub, AWS Cloud

Libraries: Numpy, SciPy, Seaborn, Pandas, TensorFlow, PyTorch, Sci-kit Learn, Keras, Matplotlib RELEVANT WORK EXPERIENCE

Let Set Go Development & Testing Ahmedabad, India

Data Science Intern Python Jan 2024 - April 2024

• Analyzed user feedback using sentiment analysis to identify recurring issues such as login crashes, slow load times, and navigation challenges

• Built a predictive model for a client to estimate app crash likelihood using user behavior (session duration, feature usage) and device metrics (RAM, CPU, OS version, network strength) Oasis Infobyte Remote

Data Science Intern Python, Excel August 2023 - September 2023

• Analyzed large datasets to identify customer trends and regional sales patterns for strategic client decisions

• Applied regression and time series models to forecast business outcomes

• Built data pipelines for cleaning, transforming, and visualizing data to ensure insight quality Infolabz IT Services Pvt. Ltd Ahmedabad, India

Machine Learning Intern Python, Excel, Matplotlib, Seaborn, NumPy, Pandas July 2023 - August 2023

• Led a project on customer behavior analysis by cleaning and structuring a complex dataset of interactions, including page views, time spent on site, and purchase history. Engineered relevant features and implemented a classification algorithm to accurately predict customer churn

• Helped the company enhance engagement through personalized marketing campaigns and proactive customer support outreach

TECHNICAL PROJECTS

Water Quality Monitoring System (Personal) January 2025 - March 2025

• Built an end-to-end ML pipeline using 10,000+ real-world water samples from Kutch to predict water quality

• Used Python (Pandas, Scikit-learn, Matplotlib) to analyze trends, identify contamination hotspots and seasonal quality variations, and generate insights for proactive environmental monitoring Economic Events Impact Analysis ( Letsetgo) January 2024 – April 2024

• Utilized web scraping tools to collect 1,000+ market news articles and stored them in a structured MySQL database for efficient analysis

• Developed machine learning models to generate concise 150-word summaries and performed sentiment analysis to extract trends such as sector sentiment shifts, event-driven reactions, and macroeconomic concerns

• Delivered actionable insights on investor sentiment and market volatility, supporting faster decision-making for traders and analysts

Lane Detection System (Personal/ Collab with GTU Professor Farnaz Banu) March 2023 - June 2023

• Designed and implemented a real-time lane detection system leveraging vehicle camera data and image preprocessing

(grayscale, Gaussian blur, Canny edge). Attained 95% detection accuracy, enhancing driver safety and responsiveness

• Applied Hough Transform and linear regression to accurately detect and smooth lane lines, accomplishing 95% detection accuracy on 50,000+ real-world frames. Boosted road boundary visualization supports robust autonomous driving capabilities

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