Mohana Siddhartha Chivukula
623-***-**** •****************.*********@*****.*** • linkedin.com/in/siddharthachivukula/ SUMMARY
Graduate student in Computer Science with strong programming skills and experience in data engineering, software development, and AI-driven solutions. Passionate about solving real-world problems through innovative technology and seeking a Summer 2025 internship.
EDUCATION
Master of Science Computer Science Aug 2024 - May 2026 Arizona State University, Tempe, AZ 4/4 GPA
Bachelor of Technology Computer Science and Engineering Aug 2020 - May 2024 Shiv Nadar University, Delhi NCR, India 7.61/10 GPA TECHNICAL SKILLS
Programming: Python, C, C++, Java, Kotlin, SQL, JavaScript, Numpy, Pandas, Scikit-learn, TensorFlow, Flask Web Dev, Databases: React, Tailwind CSS, HTML, CSS, Node.js, RealmDB, MySQL, MongoDB, Snowflake Others: Android Studio, Git, Advanced Excel, Latex-Overleaf, Jira-Confluence, IICS, Agile, Waterfall Certifications: ThoughtSpot and Tellius professional certifications, Full Stack Web Dev, Python for Data Science PROFESSIONAL EXPERIENCE
ZS Associates, Gurugram, India: Business Technology Solutions Associate Intern – Full Time Jan 2024 – July 2024
● Developed 4 multi-layered data warehouse schemas (staging, data warehouse, and data mart layers) to consolidate fragmented data, enabling scalable data storage and advanced analytics (SQL, Snowflake, IICS, Excel).
● Performed data harmonization across multiple vendor sources by standardizing field names, formats, and lengths, ensuring seamless integration and accurate data analysis (Excel).
● Conducted manual data analysis on 70+ pharma dataset tables during migration, ensuring historical data retention and compliance with updated schema requirements using Excel, SQL, and Snowflake.
● Awarded "Dashing Debut" for outstanding performance as a new team member (H1’24 Rewards & Recognition). EXTRA CURRICULAR & CERTIFICATIONS
Goldman Sachs Software Engineering Virtual Experience Program on Forage Feb 2025
● Completed a Goldman Sachs governance analyst job simulation, assessing IT security and identifying outdated password hashing algorithms using Hashcat.
● Proposed security enhancements and recommended extended password length and a dedicated hashing algorithm. PROJECTS
Context Aware, Class Project, (Kotlin, CameraX, RealmDB, Android Development) Fall 2024
● Developed a context-aware Android application leveraging built-in phone sensors and features.
● Utilized the CameraX API to record a 45-second video with the flash enabled and implemented a custom function to calculate heart rate by analyzing color variations in the video frames.
● Employed the linear accelerometer sensor to measure respiratory rate by detecting chest movements during breathing.
● Incorporated a symptom rating system, allowing users to rate symptoms, with data stored in a local database. Optimizers in Deep Models, Research Project, (Vision Transformers, Python, Tensorflow, CIFAR 10, CIFAR 100) Fall 2023
● Conducted research under Prof. Snehasis Mukherjee and Prof. Shiv Ram Dubey on optimizing vision transformers
● Analyzed optimizers (Adam, Radam, Adabelief, AdamW, SGD) to evaluate accuracy across image recognition.
● Achieved 92.96% accuracy on CIFAR 10 and 71.26% on CIFAR 100 using ViT with AdamW.
● Proposed enhancements to fine tune optimizers, incorporating weight decay and data augmentation for better results. StockVision, Class Project, (Python, Flask, React, Tailwind CSS) Spring 2023
● Developed a web app for real-time stock analysis, precise historical trends, and AI-driven 7-day price forecasts for NASDAQ/NSE stocks, empowering users with data-driven investment decisions.
● Integrated live stock prices using yahoo finance API and AI driven sentiment analysis to forecast market trends.