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Saarini Ritesh

@saariniritesh

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Technical Solutions Consultant building Python/AI-driven automation to streamline enterprise workflows.

India

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What I'm looking for

I’m looking for a role where I can build Python/AI-driven automation to optimize support workflows, implement knowledge retrieval, and improve operational efficiency—while growing deeper in backend development and machine learning applications.

I’m a Technical Solutions Consultant focused on building automation and AI-driven solutions that improve support workflows and operational efficiency. At Hewlett Packard Enterprise, I developed automation solutions using Python, Selenium, and JavaScript to streamline enterprise workflows, including auto-migration and validation of 398+ enterprise knowledge articles, while working extensively with Linux, APIs, databases, and virtualization platforms.

I also bring hands-on analytics and backend experience from my internship and development work. I applied Python, SQL, and machine learning techniques at PwC to generate actionable insights and built/evaluated predictive models, and at Curiosify I built backend services and database workflows using Firebase and Firestore—supporting scalable data management and feature integration.

Experience

Work history, roles, and key accomplishments

Analytics Insights Intern

PwC

Feb 2024 - Jun 2024 (4 months)

Applied Python and SQL with machine learning to analyze structured datasets, perform EDA, data cleaning, and feature engineering, and build/evaluate predictive models to generate actionable business insights.

Python SQL Machine Learning predictive modeling Data Cleaning Feature Engineering Data Visualization

Education

Degrees, certifications, and relevant coursework

UPES, Dehradun

Bachelor of Technology, Computer Science Engineering (AI & ML)

2021 - 2025

Grade: CGPA: 8.13/10

Activities and societies: Relevant coursework in Machine Learning, Artificial Intelligence, Neural Networks, Deep Learning, Data Structures & Algorithms, DBMS, Software Engineering, Computer Networks, and Data Mining. Projects: PosePerfect (pose-guided generative image editing), ToneTango (real-time audio sentiment analysis), UPark (smart parking with YOLO).

B.Tech in Computer Science Engineering with an AI & ML specialization from UPES. Coursework covered core ML/AI and software engineering topics.