I'm an aspiring Data Scientist who wishes to solve world's problems by means of data.
I am a passionate Data Science Researcher. I specialize in transforming complex data into actionable insights using Python, R, and SQL. My projects span predictive modeling, data mining, and big data technologies, with a focus on real-world applications in e-commerce, finance, and healthcare. Passionate about leveraging data to drive business growth, I am eager to apply my skills in a dynamic, collaborative environment.
University of West Florida Pensacola, FL
Research Assistant Feb 2023 (Present)
• Led multidisciplinary research initiatives in Generative AI, Real-time Fitness Monitoring, and Synthetic Data Analysis, presenting
at esteemed academic forums.
• Employed advanced generative AI techniques like GANs, VAEs, Gaussian Copula, and SDV to address data scarcity challenges
and generate high-quality synthetic datasets.
• Collaborated closely with faculty mentors and co-authors, contributing to research proposal development, manuscript
preparation, and the application of R, Python, and advanced statistical techniques for data analysis.
Teaching Assistant May 2023 - May 2024
• Supported professors in conducting research projects while efficiently managing tasks such as grading, exam proctoring, and
workshop facilitation.
• Contributed to the development of an engaging learning atmosphere, fostering student participation and comprehension.
• Played a pivotal role in student's academic success by providing assistance and guidance as needed.
Wipro Limited Hyderabad, India
Internship Dec 2021 - June 2022
• Assisted senior developers in designing and developing web applications using .NET technologies.
• Participated in the full software development lifecycle, from requirements gathering to deployment.
• Collaborated with cross-functional teams to ensure seamless integration of frontend and backend components.
Gyan Astra IT Solutions Hyderabad, India
Internship Nov 2019 - June 2020
• Completed structured Python learning modules under the guidance of experienced mentors.
• Developed and implemented a library books management system using Python, incorporating cataloging, borrowing,
and returning functionalities.
• Participated in project planning, requirements gathering, and testing phases to ensure system’s functionality and reliability.
Languages: Python, R, C, SAS, HTML, MATLAB
Machine Learning: Logistic Regression, Naive Bayes, Decision Tree, Random Forest, KNN, Linear Regression, SVM, K-means
Databases: MySQL, MSSQL Server
Libraries: Scikit-learn, Keras, TensorFlow, Numpy, Pandas, NLTK, Matplotlib, ggplot2
Tools: Git, PowerBI, Tableau, AWS, Excel, VScode, ggplot2, seaborn.
You can download my resume by clicking the button below.
Download Resume
I've contributed to a variety of published papers and projects, ranging from foundational studies to advanced machine learning applications.
Want to chat? Just shoot me a message with a direct question.