Feb 2023 – Jun 2023 · 4 mos · Bengaluru, Karnataka, India · Remote

• > Contributed to the creation of a project demo by developing APIs using AWS Lambda, API Gateway, and RDS. Managed the PostgreSQL database and designed the database schema for the project. Transferred the entire project to a Django backend, integrating an ML model and deploying it on EC2. Resulted in a seamless and efficient project demo with enhanced functionality and improved performance.
• > Developed APIs for the FishDataCollection app using Django Rest Framework. Deployed the application on production using Gunicorn and Nginx on Amazon EC2. Ensured the scalability and reliability of the APIs, enabling seamless data collection and processing. Resulted in a production-ready application with optimized performance and enhanced user experience.
• > Debugged the backend part of the Mobile API project, resolving functionality issues. Developed a new version of the project, incorporating advanced features and functionalities, Integrated new ML models into the project and deployed it on EC2 for improved performance and accuracy. Resulted in a fully functional and updated Mobile API with enhanced ML capabilities.
• > Contributed to the Data team project by creating a deep learning model for predicting the freshness of fishes. Utilized machine learning techniques and implemented the model to analyze and classify fish freshness. Collaborated with the team to ensure accurate data collection and model training. Resulted in a reliable and efficient deep learning model for fish freshness prediction.

Jun 2022 – Aug 2022 · 2 mos · Chennai, Tamil Nadu, India · Remote

• Received training in the three pillars of data science: Mathematics, Business, and Technology.
• Worked on credit risk modeling, developing and fine-tuning credit scorecard models. Employed advanced statistical techniques and machine learning algorithms to drive accurate predictions. Resulted in improved credit risk assessment and informed decision-making.
• Accelerated team progress by efficiently scraping and preprocessing data from multiple webpages. Developed automated scripts and tools to streamline the data acquisition process. Conducted data cleaning and transformation to ensure data quality and integrity. Collaborated with the data science team to analyze and interpret the preprocessed data. Resulted in significant time savings and improved data availability for analysis.

Mar 2022 – Aug 2022 · 5 mos · Bhopal, Madhya Pradesh, India · Remote

• Preprocessed radar data and laid down the foundation of rainfall prediction project by extracting base parameters from the radar files and deriving dependent parameters

Mar 2022 – May 2022 · 2 mos · Bengaluru, Karnataka, India · Remote

• Developed APIs on AWS Lambda using Python and SQL for a client project. Created tables on AWS RDS to efficiently manage and store project data. Collaborated with the team to ensure seamless data integration and smooth functionality of APIs. Resulted in reliable and efficient APIs and streamlined data management for the client project.
• Improved an NLP model by incorporating transformers to detect keyword synonyms. Employed advanced techniques to enhance the accuracy of the NLP model by 10-20%. Conducted rigorous testing and evaluation to validate the improved model's performance. Resulted in a more accurate and reliable NLP model with improved keyword detection capabilities.

Nov 2021 – Dec 2021 · 1 mo · Remote

Jun 2021 – Aug 2021 · 2 mos

• Worked on a Web Scraping project to scrape quotes of famous personalities from a website.
• Created a .ipynb notebook having Advanced Visualizations made using Plotly as a helpful guide to help others who want to work with this tool.
• Extracted data through disease API which shows the record of corona cases all across the world.

Dec 2020 – Jan 2021 · 1 mo

• Guided New interns and solved their queries regarding different tasks.

Nov 2020 – Nov 2020 · 0 mo

• Tasks I did:
• > Made 2 animated videos to promote the company's initiative.
• > Promoted on Quora, LinkedIn, You Tube
• > Evaluated the Tasks of my Peers.

Sep 2019 – Oct 2020 · 1 yr 1 mo · New Delhi, Delhi, India

• > Worked with corporate team to bring leads from the companies by cold calling and writing emails to almost 30+ companies and got successful to bring leads from two companies.
• > Attended workshops related to Finance and Stock Market.