Year of Experience as Graduate Teaching Assistant
Ruchitha Gajawada
Beaumont,TX
Summary
Computer science graduate with hands-on project experience in Power BI, SQL, Excel, and machine learning, complemented by a successful tenure as a Graduate Teaching Assistant. Brings practical skills in data analysis, proficient in statistical techniques and data visualization, excels in deriving actionable insights from complex datasets. Demonstrates adept research abilities and a knack for implementing data-driven strategies, well-equipped to contribute to organizational success. Eager to apply project-based expertise and academic background to drive data-driven decision-making in a challenging Data Analyst role.
Overview
1
1
5
5
Certification
3
3
Projects
Work History
EMAIL SPAM DETECTION USING CLASSIFICATION
01.2024 - 03.2024
- Implemented machine learning model for email spam classification, leveraging NLP techniques on labeled datasets and conducting EDA for email characteristics analysis
- Utilized NLTK for text preprocessing
- Utilized sklearn library to build and evaluate multiple classification algorithms including Gaussian Naive Bayes, Multinomial Naive Bayes, and Bernoulli Naive Bayes
- Implemented Voting Classifier ensemble model to combine predictions of multiple base classifiers for improved performance
- Deployed final machine learning model using Streamlit for interactive web-based classification of spam emails
- Achieved accuracy of 97.0019% and precision of 100% on test dataset.
INTEGRATED RETAIL ANALYTICS DASHBOARD
09.2023 - 11.2023
- Developed robust retail insights dashboard in Power BI, harnessing sales data spanning 2017 to 2019 from distinct tables
- Executed thorough data transformations via Power Query Editor in Power BI, encompassing diverse tasks such as data cleaning, column segregation, type conversion, header alignment, error rectification, null value management, query concatenation, and merging
- Established pivotal connections in Data Modeling tab of Power BI, facilitating seamless data amalgamation and analysis
- By visualizing sales trends, product performance, and store profitability, dashboard furnishes comprehensive overview of retail operations, empowering strategic decision-making processes
CAFEMETRICS: ANALYZING COFFEE SHOP SALES FOR INFO
03.2023 - 04.2023
- Thoroughly cleaned and prepared coffee shop sales data
- Additionally, created supplementary columns to capture essential details
- Utilized pivot tables to aggregate and summarize coffee shop sales data, allowing for easy exploration of trends across product categories, types, and order sizes
- Integrated generated visualizations into comprehensive dashboard, providing stakeholders with centralized platform to access and interpret coffee shop sales insights.
Education
Master’s - Computer science
LAMAR UNIVERSITY
Beaumont, TX05.2024
Bachelors - Electronics and communication Engineering
GNITS UNIVERSITY
India07.2022
Skills
- Python
- SQL, Power BI, Excel,
- Data Analysis, Data Visualization,
- Machine Learning, Statistical Analysis,
- Natural Language Processing ( NLP),
- Git, Streamlit
- Leadership
- Team Management
- Communication
Certification
- IBM Data Science Specialization.
- SQL Basic Certificate HackerRank
- SQL Intermediate Certificate HackerRank
- Certification in Machine Learning from INSOFE
- Certification in Data Science Project Management: Scoping, Auditing, and Analysis from INSOFE
Languages
Accomplishments
- Coordinator, IETE Club, GNITS, 2019-2022
- House Captain, Sri Chaitanya School, 2015
Timeline
EMAIL SPAM DETECTION USING CLASSIFICATION
01.2024 - 03.2024
INTEGRATED RETAIL ANALYTICS DASHBOARD
09.2023 - 11.2023
CAFEMETRICS: ANALYZING COFFEE SHOP SALES FOR INFO
03.2023 - 04.2023
Master’s - Computer science
LAMAR UNIVERSITY
Bachelors - Electronics and communication Engineering
GNITS UNIVERSITY
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