Satya Shandilya
@satyashandilya
I build data pipelines and machine learning applications that turn large datasets into actionable insights.
What I'm looking for
I've built end-to-end data and machine learning projects, including customer segmentation across 540,000+ transactional records and a multilingual OCR web application that converts image-based documents into searchable English and Hindi text.
As a Technology and Data Volunteer at SPAR, I developed data-driven software tools, automated workflows, and structured data collection systems. During an AI and Data Science internship with AICTE-Edunet Foundation, I engineered predictive models and preprocessing pipelines, applied statistical evaluation, and collaborated on scalable AI workflows through IBM SkillsBuild.
I work primarily with Python, SQL, Pandas, scikit-learn, AWS, and Streamlit to build practical analytics, ETL, monitoring, and ML solutions.
Experience
Work history, roles, and key accomplishments
Technology and Data Volunteer
Society for Participatory Action and Reflection (SPAR)
Jun 2025 - Aug 2025 (2 months)
Developed data-driven software tools and automated workflows, driving improvements in operational efficiency. Designed data collection systems with efficient storage structures and query optimization strategies.
AI & Data Science Intern
AICTE-Edunet Foundation
Jun 2025 - Jul 2025 (1 month)
Engineered predictive ML models and robust data preprocessing pipelines for real-world datasets. Applied statistical analysis and model evaluation techniques within the IBM SkillsBuild ecosystem.
Software Engineering Participant
Fortune 500 Job Simulations (Forage)
Jun 2024 - Present (2 years 2 months)
Developed data processing algorithms and visual analytics for financial market feeds at JPMorgan Chase. Engineered solutions for cryptography, info-security, and quantitative data processing at Goldman Sachs.
Education
Degrees, certifications, and relevant coursework
ITER, SOA University
Bachelor of Technology, Computer Science and Engineering
Grade: 8.5/10 CGPA
Pursuing a Bachelor of Technology in Computer Science and Engineering with a current CGPA of 8.5/10.
DPS, Ranchi
High School Diploma, General Studies
Grade: 87.17%
Completed Class 12th with 87.17%.
DPS, Ranchi
Secondary School Certificate, General Studies
Grade: 93%
Completed Class 10th with 93%.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
Skills
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