Hello, I'm
Ritvik Gupta
Experienced ML Engineer and Data Scientist with 2+ years of expertise in building production-ready machine learning systems, developing AI solutions, and implementing scalable data pipelines. Specialized in deep learning, MLOps, cloud-native AI applications, and end-to-end ML system architecture using Python, PySpark, TensorFlow, and AWS.
Professional Timeline
My journey in Data Science & AI
Data Science Fellow
The Chicago Education Advocacy Cooperative
June 2025 - PresentBuilding automated dashboards and predictive forecasting models using Python and statistical techniques. Delivering actionable insights through comprehensive analysis of multi-source datasets.
Graduate Teaching Assistant
Boston University - Faculty of Computing & Data Sciences
Aug 2024 - May 2025Led workshops and mentoring sessions for 80+ students in Python-based data engineering and machine learning applications. Contributed to curriculum design with real-world datasets.
Intern
ENGAGEathon
May 2024 - Aug 2024Automated and standardized data pipelines from 9 sources using Python and Django, reducing manual reporting time by 60% and improving data reliability.
Teaching Assistant
Boston University
Jan 2024 - Dec 2024Mentored students in machine learning, web extraction, and code optimization. Focused on Python-based data pipelines and model evaluation.
Master's in Applied Data Analytics
Boston University
2023 - 2025Advanced studies in data analytics, machine learning, and statistical modeling. Focus on scalable data systems and AI applications.
Bachelor of Technology
SRM Institute of Science & Technology
2019 - 2023Computer Science and Engineering with focus on software development, algorithms, and data structures.
Python Developer Intern
Enhanced Communications & Technologies
Mar 2021 - May 2021Developed cloud-integrated AI chatbot and message automation tool. Improved internal communication workflows through automation.
Education
My academic background
Master’s in Applied Data Analytics
Boston University 2023 - 2025
Bachelor of Technology in Computer Science and Engineering
SRM Institute of Science & Technology 2019 - 2023Work Experience
My professional journey
Data Science Fellow
- Developed automated dashboards and forecasting models in Python to support business planning
- Analyzed complex datasets from multiple sources to uncover trends and key insights
- Provided data-backed recommendations that improved efficiency, guided budget decisions, and informed policies
Graduate Teaching Assistant
- Led workshops and mentored 80+ students on Python, data engineering, and machine learning applications
- Helped design curriculum using real-world datasets and hands-on coding assessments
Intern
- Built and standardized data pipelines from 9 sources using Python and Django
- Cut manual reporting time by 60% while improving data accuracy and reliability for stakeholders
Teaching Assistant
- Mentored students in machine learning, web data extraction, and efficient coding practices
- Guided students through technical challenges while helping them strengthen practical problem-solving skills
Python Developer Intern
- Built a cloud-integrated AI chatbot and automated messaging tool
- Streamlined internal communication by enabling scheduled and automated messaging
Technical Skills
My technical expertise
Programming Languages
ML/AI Frameworks
Data Engineering
MLOps & Cloud
ML & AI Projects
Production-ready machine learning and AI solutions
Algorithmic Stock Market Prediction System
Built an end-to-end ML pipeline for stock price prediction using time-series analysis, ARIMA models, and feature engineering. Achieved 85% accuracy in directional movement prediction with real-time data processing from Yahoo Finance API. Implemented risk management strategies and backtesting framework.
Enterprise-Scale Recommendation Engine
Designed and deployed a hybrid recommendation system combining collaborative filtering (ALS), content-based filtering (FAISS), and clustering (KMeans) algorithms. Built on PySpark for distributed processing, deployed on AWS EMR with S3 data lake. Handles millions of user interactions with sub-second response times.
AI-Powered VC Funding Success Predictor
Developed a comprehensive ML pipeline analyzing venture capital funding patterns using advanced NLP techniques with FLAN-T5 model. Built predictive models to identify startup success factors, achieving 78% accuracy in predicting funding outcomes. Analyzed 50,000+ funding records with feature engineering and ensemble methods.
Real-Time Face Mask Detection System
Developed a computer vision solution using VGG19 CNN architecture for real-time face mask detection. Achieved 94% accuracy on diverse datasets with data augmentation and transfer learning techniques. Deployed as a web application with live video streaming capabilities for public health monitoring during COVID-19.
University Payment System
Designed and developed a secure payment system for university transactions, integrating student accounts, fee management, and real-time payment tracking using Python and MySQL.
End-to-End Healthcare Analysis
Comprehensive healthcare data analysis with multiple preprocessing stages, model development, deployment, and analysis using R and Python.
Research Publications
My academic contributions
Publications
Analyzing sector performance and investment strategies: A decade of FTSE data
Performed in-depth financial analysis on a decade of FTSE market data, uncovering sector trends and informing data-driven investment strategies.
View Publication →Face Mask Detection using Deep Learning CNN Architecture
Applied deep learning to public health safety, highlighting relevance to healthcare analytics.
View Publication →Payment System for University
Designed secure data systems, underscoring compliance and process integrity.
View Publication →