Talking about Personal Stuffs:

• 🌱 I’m currently Learning Machine Learning and Cloud
• 💬 Ask me about anything, I am happy to help
• 📫 How to reach me: devsendatham@gmail.com
• 💻 Portfolio: devsendatham.com
• 🎓 Masters in computer science student in Chicago, IL
• 🧰 I build with: Python, Anaconda, Aws, VSCode, Unix ...
• ⚡ I enjoy photography, reading, playing soccer, and lifting weights :)

Results Driven computer science master’s student with professional work experience in Application Development and looking for internships in software engineering and Data Science.

Vistex (Sept 2023 – Dec 2023) Data Science Intern (Python, Tableau, Excel, Statistical Modeling)

• Utilized Python for in-depth data analysis.
• Generated informative data visualizations using Tableau.
• Employed statistical modeling methods for forecasting and data-driven recommendations.
• Ensured data integrity through effective dataset management and maintenance.

Illinois Science and Technology Coalition (Jun 2023 – Aug 2023) Data Science Intern (Python, Tableau, Excel)

• Assisted in the development of a new data analytics tool.
• Gathered variables from various public sources to create large datasets.
• Used Tableau to generate visual reports for dataset visualization.
• Created index insight reports for the fiscal year based on the data gathered.

Vuedata Technologies (Sept 2020 – Aug 2021) Software Engineer (Android Studio, Java, Kotlin, Tableau, postman, Jira)

• Developed Cross Platform Fitness Application for Android and iOS.
• Utilization of Firebase to add support of additional functionalities.
• Worked with UI/UX team to implement innovative designs, screens, and app architecture.
• Utilization of Git for version control and followed agile with Jira for implementing this project & Use of Postman to test API Calls
• Generating reports from the given application database and creating data visualization reports using Tableau.

Software Engineer – Intern (Android Studio, Java) (Jun 2020 – Aug 2020)

• Assisted senior developers with resolving critical bugs and UI issues.
• Learned and practiced effective ways of developing android applications from Senior Developers

• Programming languages: Python, R, Java, Kotlin, JavaScript
• Framework / Tools: Flask, MATLAB, Android Studio, Tableau, Postman, PowerBI, SPSS
• Databases: MySQL, Firebase, MongoDB
• ML Concepts: Classification, Regression, Clustering, Dimensionality Reduction, Statistical Analysis, Preprocessing
• ML Libraries: NumPy, Pandas, Scikit-learn, OpenCV, Matplotlib, Keras, TensorFlow, Computer Vision
• Soft Skills: Time Management, Communication, Problem Solving, Team Management, Proactive problem solving
• Certifications: Complete Machine Learning and Data Science Bootcamp, Machine learning Foundations: A case Study Approach, AI Programming with python Nanodegree

Predictive Modeling of Breast Cancer using Machine Learning (Nov 2023)

• Using Multiple Machine learning modeling methods for Breast Cancer
• Built Multiple Models like DTC, Random Forest, SVM and GBC with GBC Having highest Accuracy score of 0.913.

Data science salary prediction (Jun 2023)

• Built a decision tree model and a random forest model to predict salaries and both models achieved an accuracy of approximately 99.89% on the training data.

Author identification using stylometry and NLTK (November 2021)

• Achieved 92% accuracy after trying out numerous models: SVM, Logistic Regression, Multinomial Naïve Bayes

Master of Science (MS) – Computer Science, DePaul University (Expected Jun 2024)

• DePaul Data Science Group | Computer Science Organization
• Relevant Coursework: Applied Algorithms and data structures, Advanced Machine Learning, Big Data, Data Visualization, Data Analysis and Regression, Programming Machine Learning Applications.

Bachelor of Technology (BS) - Computer science and engineering, Hindustan University (June 2020)

• Google Cloud Facilitator | Hindustan Entrepreneurship & innovation center Member | kruptos Security Club
• Relevant Coursework: Design and analysis of algorithms, data structures, data warehousing and data mining, software testing cloud computing, web development, machine learning, mobile app dev.

• Have been awarded for AWS Scholarship for Python programming for AI Nanodegree at Udacity
• Award in ‘Excellent efficient project design’ category for electricity generation from vibrations project.
• Conducted workshops on Google Cloud and machine learning as part of the Google Developer student club core Team.

Let's connect and explore opportunities together! Feel free to reach out to me on LinkedIn.