Saachi Ghanshyam Shinde
Computer Science Graduate, Specialized in Artificial Intelligence and Machine Learning
Summary
An accomplished professional in Computer Science with hands-on experience in Artificial Intelligence, Machine Learning and Data Science. Driven by a passion for innovation and a proven track record of success, I bring a disciplined approach, strong organizational skills, and a strategic mindset to solving complex challenges. Committed to learning and applying latest technologies to drive impactful solutions.
Education
• iNurture, Nagindas Khandwala College
2021 – 2024
Bachelors of Computer Science (Honors), Specialization in Artificial Intelligence and Machine Learning
Topped with CGPA: 10.0
• D.G. Ruparel College of Arts, Science and Commerce
2018 – 2020
Class 12th, Higher Secondary School Certificate (HSC)
Scored Percentage: 75.23%
• Bombay Cambridge International School, Andheri (W)
2008 – 2018
Class 10th, International General Certificate of Secondary Education (IGCSE)
Ranked 3rd in School with Percentage: 91.7%
Experience
Smart Decision Advisory Services
June 2024 - Present
‣ Data Analytics and AI Intern
Remote, Singapore Based
- Data Analytics & AI Strategist: Served as a key contributor in the data team, leveraging advanced data analytics and AI technologies to drive strategic initiatives and optimize decision-making.
- Neo4j Graph Database Architect: Expertly designed and managed complex data models within Neo4j, utilizing its native graph architecture for efficient relationship mapping and data retrieval. Optimized Cypher queries to maximize Neo4j’s handling of large-scale, interconnected data.
- Graph-Based Algorithm Development: Developed and implemented advanced graph algorithms, including tree-based traversal methods, to compute key metrics, analyze complex data structures, and uncover hidden insights within graph databases.
- AI Integration & Prompt Engineering: Applied cutting-edge AI techniques, including prompt engineering, to seamlessly integrate Neo4j graph data for enhancing predictive analytics and driving deeper data-driven insights.
- Integration & Optimization: Helped in coordinating scalable data pipelines by integrating Neo4j with JavaScript and Azure Functions, automating workflows for real-time data processing, and significantly improving system efficiency and scalability.
- Cross-Functional Collaboration: Partnered with cross-functional Full-Stack development and Automation teams to implement AI-enhanced graph database solutions, ensuring smooth integration with existing systems and alignment with strategic business objectives.
Technical Skills
#1
•
Python
•
Java
#2
•
AWS
•
Git & GitHub
#3
•
C/C++
•
HTML/CSS
#4
•
SQL
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CQL
#5
•
JavaScript
•
Word & Excel
AI & ML Skills
#1
•
TensorFlow
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Keras
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Scikit-Learn
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PyTorch
#2
•
Numpy
•
Pandas
•
Matplotlib
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Seaborn
#3
•
Neo4j
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OpenCV
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NLTK
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Flask
#4
•
HF Transformers
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AI API's
•
Prolog
•
and more.
Comprehensive Knowledge
#1
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Advanced Machine Learning
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Deep Learning
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Artificial Neural Networks
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Digital Image Processing
#2
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Natural Language Processing
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Recommender Systems
•
Data Visualization
#3
•
Big Data Analytics
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Cloud Technology
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Robotic Process Automation
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Graph DB & Cypher Queries
Certifications & Courses
#1
•
Data Science and ML from Basic to Advanced on Udemy
•
Introduction to Computer Vision with Python on Udemy
#2
•
Intro to Deep Learning by Kaggle
•
AI for Indi 2.0 by GUVI
•
ESG Experience by TCS Forage
#3
•
Oracle Cloud Infrastructure 2023 Certified Foundations Associate
•
Oracle Cloud Data Management 2023 Certified Foundations Associate