Rishita Bansal

Software Engineer

Delhi, India2 yrs experience

AI EnabledAI ML Practitioner

Key Highlights

Developed scalable data lake solutions at Amazon.
Hands-on experience in machine learning and data science.
Strong proficiency in Python and AWS tools.

Stackforce AI infers this person is a Data Science and Machine Learning specialist with strong AWS and Python expertise.

Contact

Skills

Core Skills

Software EngineeringAws Cloud ServicesData ScienceMachine Learning

Other Skills

AWS GlueAWS LambdaAmazon KinesisAmazon QuickSightAmazon RedshiftAmazon S3Analytical SkillsAnalyticsCascading Style Sheets (CSS)CommunicationDanceData AnalysisData CleaningData EntryData Lakes

About

🌟 Hey there! I’m Rishita Bansal, a fourth-year B.Tech student specializing in Computer Science with a focus on Artificial Intelligence and Machine Learning at VIT. My journey in tech has been driven by a passion for AI/ML, leading me to develop innovative solutions like PdfQuery and work on projects such as Loan Approval Predictor and Adult Census Income Prediction. 💻 Proficient in Python, data structures, algorithms, Power BI, and web development, I've deployed AI-powered tools and created user-friendly web apps. I’m eager to apply my skills in data science and AI/ML through internships and collaborative projects. 🚀 Let’s connect! I’m keen on networking with professionals and peers to exchange knowledge and grow together. 💃🏻 Beyond tech, I’m passionate about dance and sports, which keep me energized and inspired. I also enjoy writing about Data Science, AI/ML, and technology on Medium. Thanks for stopping by—I look forward to connecting and sharing insights with you!

Experience

2 yrs

Total Experience

8 mos

Average Tenure

9 mos

Current Experience

Barclays

BA4 Software Engineer

Sep 2025 – Present · 9 mos · Pune, Maharashtra, India · On-site

Amazon

Software Engineer

Jan 2025 – Jun 2025 · 5 mos · Gurugram, Haryana, India · On-site

During my internship at Amazon with the Seller Tech Services team, I independently owned and delivered a high-impact internal data lake solution. This project aimed to streamline data access and processing across teams. Key highlights include:
End-to-End Ownership:
Architected and developed a scalable internal data lake solution from scratch, ensuring high availability and efficiency.
AWS Cloud Services Integration:
Utilized AWS tools like Glue, S3, and Lambda to build automated, cost-efficient data ingestion and transformation pipelines.
Backend Development:
Wrote clean, maintainable Python code for backend automation and integrations with other internal APIs and services.
Collaboration & Demo:
Worked closely with product managers and engineers across teams, and successfully delivered a live demo to the director and senior leadership.
This experience significantly improved my software engineering skills, taught me how to ship production-level backend systems, and gave me a deeper understanding of scalable system design within a tech giant.

AWS GlueAmazon S3AWS LambdaPythonData LakesSoftware Engineering+1

Truestate

Data Science Intern

Sep 2024 – Nov 2024 · 2 mos · Bengaluru, Karnataka, India · On-site

In my internship, I honed my data science and machine learning skills while working with real estate data on projects that directly impacted livability and urban planning. Key accomplishments included:
Geo-spatial Data Management:
Analyzed and processed OpenStreetMap (OSM) and GeoJSON data, gaining experience in location-based data integration, which informed a variety of real estate insights.
Data Collection and Web Scraping:
Gathered essential datasets by web scraping RERA websites, Google, and other sources, handling the complexities of large-scale data collection to support in-depth analyses.
Machine Learning Model Development:
Developed and fine-tuned multiple machine learning models, leveraging predictive analytics for real estate applications.
This internship has deepened my knowledge of the real estate sector and strengthened my technical and analytical capabilities.

Geo-spatial Data ManagementWeb ScrapingMachine LearningData Science

Omdena

Junior Machine Learning Engineer Intern

Feb 2023 – Mar 2023 · 1 mo · Delhi · Remote

As a Junior Machine Learning Engineer, I participated in a community project called MONITOR WATER QUALITY IN the BHOPAL REGION USING GOOGLE EARTH ENGINE.
Implemented advanced data cleaning techniques to streamline a dataset of 10,000 records, reducing data errors by
25% and increasing the accuracy of subsequent analyses.
Summed up insights in a Jupiter notebook with interactive graphs and visualizations.
Contributed to the community project with a team of more than 20 data scientists and learned many things.

Data CleaningData VisualizationMachine Learning