Ashutosh Kashid
Data Analyst | Reporting & Operations
Transforming raw data into actionable insights through KPI dashboards, automated reporting, and business intelligence solutions
About Me
Ashutosh Kashid
Data Analyst | Reporting & Operations
Graduate student at Syracuse University pursuing a Master's in Information Systems, with hands-on experience in stakeholder requirements gathering, KPI definition, and operational reporting automation. Skilled in building interactive dashboards, streamlining data workflows, and delivering insights that drive efficiency and informed decision-making. Passionate about leveraging data to solve real-world business challenges.
Education
Syracuse University
Expected May 2026Master of Science in Information Systems
Relevant Coursework:
DYPatil University
April 2024B.E. in Computer Engineering | Minor: Data Science
Relevant Coursework:
Technical Skills
Languages
Frameworks & Libraries
Data & Analytics
Tools & Platforms
Specializations
Work Experience
Analyst (Reporting & Operations)
Splendor Security Services
- Gathered stakeholder requirements, defined KPIs and business rules to improve service-tracking visibility, driving a 40% efficiency gain
- Automated recurring operational reporting with data validation and exception reporting, cutting manual effort by 50% and improving accuracy by 60%
- Delivered weekly KPI dashboards and summaries with trend insights to support faster decisions and issue follow-ups
Software Development Intern (Data Analytics / Automation)
ORNET Technologies
- Developed and launched a text-matching web application built on Python and Django to harmonize voter data across Excel sheets and databases, improving data precision by 40%
- Streamlined reporting workflows by automating manual reports and migrating into an interactive Power BI dashboard, reducing report generation time by 35%
- Drove insight-driven decision making for executives by delivering real-time insights, saving 15+ manual hours per week and increasing reporting accuracy
Featured Projects
Public Health Insights Dashboard
Engineered a multi-page Tableau dashboard with 4 dashboards (Behavioral Health, Chronic Diseases, Disability, Health Trends), built from 3 Excel datasets (10K+ records) after ETL (data cleaning and transformation), enabling better business intelligence and decision-making.
- Built 4 interconnected dashboards from 3 Excel datasets containing 10,000+ records
- Created 10+ interactive visualizations including maps, treemaps, bubble charts, line graphs, and pie charts
- Optimized analysis speed by 40% through efficient data structure and filtering
YouTube Sentiment Analysis
Analyzed 10,000+ social media comments using Python (Selenium, NLTK), R, and REST APIs; classified sentiment (positive/negative/neutral) and stored insights in MySQL to support audience perception analysis.
- 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
Movie Recommendation System
Designed a personalized recommendation engine built in Python, Pandas, SQL, TensorFlow and React, integrating IMDb datasets (movies, ratings, genres) to analyze 50K+ records and generate actionable business insights.
- Integrated IMDb datasets with 50,000+ movie records
- Achieved a 22% lift in recommendation accuracy through collaborative and content-based filtering
- Built Flask backend with React frontend for real-time recommendations
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
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
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, Vol. 13, Issue 2, April 2024
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.