Ashutosh Kashid
Data Scientist & Full Stack Developer
Transforming data into actionable insights and building scalable solutions
About Me
Ashutosh Kashid
Data Scientist & Full Stack Developer
Graduate student at Syracuse University pursuing a Master's in Information Systems, with a strong foundation in full-stack development and data science. Experienced in building enterprise applications with Python, Django, and React, while leveraging machine learning and analytics to drive business insights. Passionate about creating impactful solutions that bridge technology and real-world challenges.
Education
Syracuse University
Expected May 2026Master of Science in Information Systems
Relevant Coursework:
DYPatil University
May 2024B.Tech in Computer Engineering | Minor: Data Science
Relevant Coursework:
Technical Skills
Languages
Frameworks & Libraries
Data & Analytics
Tools & Platforms
Specializations
Work Experience
Full Stack Developer
Splendor Security Services
- Architected and deployed a Client Service Management System using Python and Django, streamlining client data management and service tracking
- Improved operational efficiency by 40% through optimized workflows and automated processes
- Designed an Employee Attendance System that automated tracking and reporting, reducing manual intervention by 50%
- Enhanced data accuracy by 60% through systematic validation and error handling
Data Science Intern
ORNET Technologies
- Developed a text-matching web application using Python and Django to harmonize voter data across multiple sources
- Improved data precision by 40% through advanced string matching algorithms
- Automated reporting workflows and created interactive Power BI dashboards, reducing report generation time by 35%
- Delivered real-time analytics that saved 15+ manual hours per week and enabled data-driven executive decision-making
Featured Projects
Public Health Insights Dashboard
Comprehensive multi-page Tableau dashboard analyzing public health trends across behavioral health, chronic diseases, disability metrics, and health indicators.
- Built 4 interconnected dashboards from 3 Excel datasets containing 10,000+ records
- Created 10+ interactive visualizations including maps, treemaps, and trend analysis
- Improved analysis speed by 40% through optimized data structure and filtering
Driver Drowsiness Detection
Real-time computer vision system that monitors driver fatigue using facial landmark detection and triggers alerts to prevent accidents.
- Achieved 90% detection precision using OpenCV and Haar Cascades
- Integrated automated alarm mechanism for immediate alerting
- Reduced simulated accident risk by 60% in testing scenarios
YouTube Sentiment Analysis
Scalable sentiment analysis platform that processes social media comments to provide actionable insights on audience perception and engagement.
- Analyzed 10,000+ YouTube comments using Selenium and NLTK
- Classified sentiment with high accuracy (positive/negative/neutral)
- Stored insights in MySQL for historical trend analysis
Cancer Detection using Deep Learning
Deep learning model for early-stage cancer detection from medical imaging, leveraging CNNs and advanced preprocessing techniques.
- Developed CNN architectures using TensorFlow and Keras
- Improved model accuracy by 18% through data augmentation
- Achieved >85% accuracy in early-stage cancer detection
Car Rental Platform
Full-stack web application for car rental management with secure booking, payment processing, and responsive design.
- Built with Flask backend and PostgreSQL database
- Implemented REST APIs for seamless frontend-backend communication
- Achieved 100% cross-device compatibility with Bootstrap
Movie Recommendation System
Personalized movie recommendation engine using collaborative and content-based filtering with a modern React interface.
- Integrated IMDb datasets with 50,000+ movie records
- Improved recommendation accuracy by 22% through hybrid filtering
- Built Flask backend with React frontend for real-time recommendations
Certifications
Business Analytics
Harvard Business School
IT Automation with Python
Entrepreneurship Essentials
Harvard Business School
Certified Scrum Master (CSM)
Scrum Alliance
Leadership & Volunteering
Member, Student Union Council (Horizon Coordinator)
Ramrao Adik Institute of Technology
- Served on the Student Union Council, supporting campus initiatives and student welfare programs
- Led coordination of the annual Horizon cultural event with 2,000+ attendees
- Managed sponsorship outreach and acquisition, securing key partnerships and financial support
- Oversaw end-to-end event logistics, including security, hospitality, and venue coordination
- Directed and managed a 20+ member volunteer team to ensure smooth execution
- Coordinated accommodation and on-ground support for performing artists and guests
Community Volunteer
Vikas Prathistan & Nityanand Ashram
- Delivered cleanliness awareness sessions to 100+ community members
- Provided online education support to 50+ students during the pandemic
- Coordinated distribution of 200+ meals and clothing donations
- Engaged with residents to support community well-being and local outreach efforts
Publications
Customer Churn Prediction for the Telecom Industry
International Journal of Information Technology and Electrical Engineering (ITEE Journal)
Co-authored research paper
Get In Touch
I'm always open to discussing new opportunities, collaborations, or just having a chat about technology and innovation.
Contact Information
© 2026 Ashutosh Kashid.