Data Analytics Machine Learning

Archit Chawla US Citizen • Atlanta, GA Cell : 770-***-****

Email: ************@*****.*** LinkedIn: www.linkedin.com/in/achawla415

Analytical and results-oriented Data Scientist with a solid foundation in data analytics and machine learning, eager to contribute to data-driven decisions. Proficient in Python, R, SQL, and utilizing tools such as Power BI and Snowflake for data manipulation, analysis, and visualization. Proven ability to implement data analysis to uncover insights and trends in large datasets. Seeking a position in data analytics where I can leverage my skills and contribute my technical expertise in big data management and analytics.

Education and Honors

MSIS – Master of Science in Information Systems – Big Data Analytics Georgia State University – Graduated Fall 2024

BBA – Bachelor of Science in Computer and Information Science Georgia State University – Graduated Spring 2023

Technical Skills

Python, PySpark, SQL, Snowflake, Power BI, Tableau, MongoDB, NLP, Linux, Ubuntu, AWS, GCP, GKE, Docker, Jupyter, GitHub, Databricks

Additional Skills

Android App Development with Java and Kotlin

Familiarity with Project Management Practices, Systems Analysis, and Marketing Management, Mendix Rapid Developer Certification

Work Experience:

Cox Automotive (5/24 - 8/24)

Data Science NLP and SA Intern:

oEmployee Survey Analysis: Conducted Sentiment Analysis on internal employee surveys. Processed data with Python in Power BI and visualized the results with various visual tools, including charts and word clouds.

oDealer Survey Analysis: Conducted comprehensive Sentiment Analysis on Dealer Surveys using SQL in Snowflake and Python with BERT in Google Colab.

Equifax (1/23 - 12/23)

Data Engineer:

oTableau: Utilized Tableau to create dashboards visualizing growth metrics and derive sales trends.

oGoogle BigQuery: Enhanced data integrity by implementing row-level security and generated a pivotal Data Quality Report. Further optimized data visualization and security through advanced integration with Tableau.

Fulton County (8/22 - 12/22)

Cybersecurity internship – Worked on a Cybersecurity and Network research project on NIST for Fulton County.

Project Experience

Customer Service Chatbot – Fall 2024

Developed a customer service chatbot in Python to evaluate interactions between customers and service agents using RoBERTa for quantitative analysis and Flan-T5 for qualitative analysis. Designed and implemented an end-to-end pipeline, including deploying models on Hugging Face and integrating with an AWS-based Cloud UI.

Coffee NLP and ML Analysis – Fall 2024

Utilized a variety of libraries and tools to conduct comprehensive NLP and ML Analysis on a text review coffee dataset using Python. Conducted comprehensive data visualization and classification analyses to classify coffee prices and ratings.

Restaurant Locations Database – Fall 2024

Collaborated with a team to create a complex SQL database in BigQuery and interactive Tableau Dashboard to find the best location for a company to open new restaurants in.

Waterloo Difficulty Analysis – Spring 2024

Developed a PySpark-based ML model to evaluate the correlation between course difficulty and student satisfaction for the University of Waterloo, using Sentiment Analysis tools like TextBlob and VADER. Implemented Logistic Regression, SVM, Random Forest, and GBM to analyze impact on student perceptions.

Blog Authorship Analysis – Spring 2024

Created an NLP model in R with H2O to predict blog authors’ jobs from textual data, employing feature engineering and ML techniques including Random Forest and GBM to access data from Hugging Face and present results in R Markdown.

Airline Customer Data Analysis – Spring 2024

Applied machine learning algorithms, Grid Search, and K-Fold Cross-Validation to analyze and predict customer satisfaction and loyalty based on in-flight experience data. Visualized results using Jupyter Notebook and facilitated collaboration by integrating the project with GitHub.

GDP Indicators Analysis – Spring 2024

Conducted comprehensive analysis of economic and health indicators across countries over 50 years, utilizing GDP and life expectancy. Implemented Fuzzy Match for dataset integration and produced various plots to explore correlations. Developed a Time Series model for forecasting GDP.

Insulin Locater App, Georgia State University – Fall 2021

Participated in a team project to conceptualize an app aimed at helping users locate insulin nearby. Contributed to research of app features. Presented a comprehensive portfolio presentation.

Extra-Curriculars

Toastmasters (1/23-): An active member of my local Toastmaster Club, learning and refining communication and interpersonal skills as well as gaining valuable experience in social networking.

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