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Data Science Machine Learning

Location:
Seattle, WA
Posted:
January 19, 2025

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Resume:

ANN ELIZABETH ZACHARIAH

Seattle, USA ****************@*****.*** +1-206-***-****

linkedin.com/in/ann-zachariah1020 github.com/AnnZachariah SUMMARY

Graduate student in Computer Science specializing in Data Science with 2+ years of experience in quantitative analysis, building statistical models, and developing AI-driven solutions. Proficient in Python,SQL/noSQL databases and PowerBI, with hands-on experience in machine learning, user testing, and usability improvements. Known for strong written and verbal communication skills, analytical and problem-solving abilities, and a user-centered approach to interface design. Seeking opportunities to leverage technical expertise in impactful projects and enhance user experiences. PROFESSIONAL EXPERIENCE

Data Analytics Consultant

Ernst & Young, Mumbai, India August 2022 – September 2024

• Enhanced audit efficiency by 25% by debugging existing workflows, automating activities, and improving scalability for the global Symphony project.

• Developing, testing, and deployed enterprise data-driven applications using Flask, Angular, HTML, and MongoDB, ensuring accessibility and enhanced security to meet client needs.

• Crafted optimized SQL and Oracle queries to align with client requirements, improving query performance and ensuring alignment with legal and compliance requirements.

• Built scalable PySpark scripts for real-time data processing, improving client data handling.

• Automated workflows using Power Automate and modeled MongoDB databases to streamline data management. EDUCATION

Seattle University September 2024 – Expected September 2026 Master of Computer Science with Specialization in Data Science(CGPA: 3.56/4) St. Francis Institute of Technology, Mumbai, India August 2018 - May 2022 Graduated with Bachelor of Engineering in Computer Engineering with Distinction(CGPA: 9.16/10) Relevant courses: Relevant Courses: Big Data Analytics, Artificial Intelligence, Machine Learning (ML), Database Management System, Web Development PROJECTS

Power BI Dashboard for Sales Insights

• Incorporated data analysis techniques, specializing in time series analysis, to deliver values sales insights, accurate sales forecasting and interactive dashboard.

• Used DAX formulas for advanced calculations and built custom visuals for trend analysis.

• Technologies: Microsoft Excel, PowerBI

ATS Resume Validator

• Built a tool to validate resumes against job descriptions and suggest improvements using Streamlit..

• Automated keyword matching, gap analysis, and suggestions to improve ATS compliance.

• Technologies: Python, Streamlit

SMS Classifier

• Built an SMS Spam Classifier with Streamlit to categorize messages as "Spam" or "Not Spam."

• Preprocessed text using TF-IDF and trained a Multinomial Naive Bayes model for classification from a dataset.

• Technologies used: Python,NLTK, Scikit-learn, Streamlit Weather Application using Tkinter

• Developed a Weather Application using Tkinter to display real-time weather data for any city, utilizing OpenWeather API and Geopy for geolocation.

• Integrated local time display based on city’s timezone with TimezoneFinder and Pytz, ensuring accurate real-time information.

• Technologies used: Python, Tkinter.

COVID Companion

• Devised a web application that can judge the mental health condition provided by the user data and give suggestions to cope with the situation and treat as per the physician’s advice.

• Employed Data Mining and Data Modelling techniques such as K-means clustering, feature selection using PCA, etc. for the web development of the application.

• Technologies used: Python, Flask, HTML, CSS, JS, and MongoDB. COVID Fake News Detection System

• Designed a system using Machine Learning algorithms such as Logistic Regression, Random Forest Classifiers, and Support Vector Machine to identify whether a news article on the web portal is true or fake, based on the results from the trained model; algorithms yielded the best accuracy to the system.

• Integrated data extraction from various news portals, data cleaning, and data modelling.

• Technologies used: Python frameworks (BS4, Streamlit), HTML, and Bootstrap. Library Management System

• Built a system with frontend and backend technologies such as PHP, HTML, CSS, JS, Bootstrap and MySQL which operates the functioning of a library with complete database system; integrated book issue system for admin/librarian and features to calculate the amount of fine to be paid by a user who delay in submission of books.

• Operated database creation and management through creating user interface and database using MySQL designing language.

• Technologies used: PHP, HTML, CSS, JS, and MySQL. TECHNICAL SKILLS

• Programming Languages: Python, C++, R(basic), PySpark

• Frameworks & Tools: Flask, Streamlit, HTML, CSS, Bootstrap, Power Automate

• Databases: MongoDB, MySQL, Microsoft SQL Server

• Data Science & Analytics: Scikit-learn, NLTK, Data Mining, Machine Learning (ml), Data Analysis, Business Intelligence (Tableau, Power BI)

• Cloud Platforms: Microsoft Azure (Azure Fundamentals)

• Version Control & Practices: Git, Docker, Code Reviews

• Operating Systems: Linux, Windows

• Soft Skills: Collaboration, Communication Skills, Writing, Stakeholder Management

• Documentation & Productivity Tools: Microsoft Word, Microsoft Excel, Microsoft Outlook and Teams

• Leadership: Team mentoring, project management, Stakeholders Communication, Cross-functional teamwork, Event Planning and Execution

• Other Skills: Usability testing, user interface design, feedback analysis, consulting CERTIFICATIONS

• Microsoft Azure Fundamentals(AZ-900) – DataCamp Nov 2024

• Google Python Certification – Coursera June 2024

• Google Founations: Data Everywhere – Coursera June 2021

• Web Development Bootcamp – SFIT, Mumbai Dec 2020 EXTRACURRICUALR ACTIVITIES

• Participated in leadership programs focused on event coordination and public speaking.

• Conducted workshops to raise awareness about sustainable practices.

• Organized recycling drives in undergraduate college to promote waste management.



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