Ankit Prasad
Pune
Summary
Final-year B.Tech Computer Science & Engineering student specializing in AI, with hands-on experience in backend development, enterprise process automation, data engineering, and AI/ML systems. Currently working as an Operations Excellence Intern at Onity Group, developing Python-based ETL automation, SQL data pipelines, API integrations, and serverless AWS applications across 4+ business units to improve operational efficiency and reduce manual workflows.
Overview
1
1
Certification
2
2
years of professional experience
Work History
Operations Excellence Intern
Onity Group Inc.
Pune
04.2026 - Current
- Eliminated recurring manual reporting effort across multiple business units by automating data extraction, transformation, report generation, and email distribution, improving turnaround time and reducing human error.
- Automated end-to-end ETL reporting workflows across 4+ business units using Python, SQL, Pandas, and Outlook automation to extract, process, and distribute operational reports.
- Wrote and optimized SQL queries for high-volume operational data extraction, supporting reporting, analysis, and cross-functional business requirements.
- Integrated backend database systems with automated workflows to store, aggregate, and process operational and customer feedback data, streamlining data management.
- Deployed API-driven data pipeline to replace legacy workflow, eliminating redundant manual lists for recurring data loads.
- Developed Python automation to process raw CSV inputs and merge/append records into Act-On services through APIs, enhancing data consistency and minimizing manual intervention.
- Built and deployed a serverless CSAT feedback system using AWS Lambda and Python, enabling transactional email interactions to capture customer feedback and associate responses with operational metadata.
- Designed a 1-click customer feedback workflow using dynamic URLs embedded in transactional emails, simplifying feedback collection and enabling targeted operational analysis.
Backend Developer Intern
Coditation
Pune
12.2024 - 08.2025
- Built and maintained 6 REST APIs using Python to enhance backend service pipelines.
- Enhanced API data handling through comprehensive validation and testing processes.
- Designed and integrated databases to support core application functionality.
- Developed modular backend components across multiple projects.
- Coordinated development tasks as team lead, fostering collaboration among team members.
Full Stack Development Intern
Codec Technologies
07.2025 - 07.2025
- Developed an AI-powered blogging platform and an e-commerce application using the MERN stack.
- Developed backend APIs, integrated databases, and implemented CRUD functionality to streamline frontend-backend operations.
- Integrated OpenAI API to generate content and provide insights for enhanced user engagement.
- Executed Stripe checkout implementation and conducted API testing using Postman to ensure functionality.
Education
Bachelor of Technology - Computer Science & Engineering - AIA
MIT ADT University
Pune, India08-2027
Skills
- Python
- SQL
- Pandas
- ETL Pipelines
- Process automation
- Data automation processes
- Reporting automation
- Workflow improvement
- REST APIs
- API integration techniques
- Flask
- Microservices
- AWS Lambda
- Serverless Architecture
- Git
- GitHub
- Postman
- Docker
- Cloud computing
- Analytics
- Workflow improvement
- MongoDB
- MS SQL Server
- Workflow improvement
Certification
- AI Foundations for Everyone — IBM
- Introduction to Data Science — IBM
- Machine Learning with Python & Scikit-learn — IBM
- Design and Analysis of Algorithms — NPTEL
Projects
- Energy Consumption Optimization System, Developed an ML-based energy consumption prediction and optimization system using LSTM and XGBoost. Built an end-to-end ML pipeline covering data preprocessing, model training, evaluation, and recommendation generation. Evaluated models using SMAPE, MAPE, MAE, MSE, and confusion matrix-based analysis. Used simulated data with scope for future IoT integration.
- ML Hackathon 2025 — Amazon & Unstop, Worked with a 75,000-record shopping dataset containing text and image information. Generated text embeddings using Transformer models and image embeddings using ResNet and ViT. Combined multimodal embeddings and trained models using k-fold cross-validation. Evaluated model performance using SMAPE and SMAE.
- Smart Traffic Management System, Developed a traffic analysis system using YOLOv3, YOLOv5, and YOLOv7 for object detection and traffic analysis.
- AI Blogging Platform, Developed a MERN-based blogging platform with a Markdown content editor, backend APIs, database integration, and AI-powered content generation. Integrated OpenAI API functionality for content generation and insights.
- E-Commerce Website, Developed a MERN-based e-commerce application with CRUD operations, database connectivity, and Stripe checkout integration. Tested and validated backend APIs using Postman.
Achievements And Activities
- Team Lead during internship
- Runner-up at College Debate Competition
- Participated in Google Developer Student Clubs activities covering Google Cloud fundamentals, virtual machines, and cloud labs
- DSA practice in LeetCode
- Football, piano, PC gaming, and UX/UI design
Timeline
Operations Excellence Intern
Onity Group Inc.
04.2026 - Current
Full Stack Development Intern
Codec Technologies
07.2025 - 07.2025
Backend Developer Intern
Coditation
12.2024 - 08.2025
Bachelor of Technology - Computer Science & Engineering - AIA
MIT ADT University