Data Science Machine Learning

Sajan Singh Shergill – Data Science

551-***-**** ***********************.********@****.*** Jersey City, NJ 07306 https://www.linkedin.com/in/sajanshergill/

Professional Summary

• Detail-oriented data enthusiast with a strong foundation in Python, data analysis, and machine learning, currently pursuing academic work in the data science domain.

• Demonstrated ability to extract and communicate actionable insights from large, multimodal datasets through simulations, academic projects, and real-world QA automation experience.

• Skilled in improving processes and outcomes through predictive modeling, data-driven experimentation, and collaboration with cross-functional teams.

• Passionate about leveraging AI to enhance research workflows and content accuracy, with strong communication skills developed through cross-functional stakeholder collaboration and report generation.

Professional Experience

Eduvanz Financing Private Limited Mumbai, India

Software Developer in Test November 2023 - June 2024 Recruited to build automation frameworks in Selenium and Python, cutting testing time in half.

• Responsible for automating software quality testing using Selenium with Python, working in Agile sprints to test B2C/B2B applications with a focus on DOM interactions.

• Developed CI/CD pipelines for automated regression testing, reducing release time by 50% and enhancing team productivity.

• Supported integration testing for web pages and dynamic content features using HTML, JavaScript, and CSS.

• Documented test strategies and collaborated with software engineers to troubleshoot production support issues related to LMS modules.

Quality Assurance Team Lead February 2022 – October 2023 Promoted to lead QA for Salesforce LMS integration, driving automation and cross-team collaboration.

• Responsible for leading the integration testing and QA analysis of Salesforce LMS with Stride’s Document Object Model-based business module, improving operational efficiency by 40% and supporting CI/CD deployment.

• Implemented Agile Development principles to manage a team of four, streamlining test execution for mobile apps and web pages using HTML, CSS, and JavaScript.

• Resolved cross-departmental quality bottlenecks, facilitating enhanced collaboration and identifying usability issues early in the sprint cycles.

• Lead stakeholder feedback loops and performed user-facing integration testing, increasing test coverage and release confidence.

Quality Assurance Engineer Level 1 February 2022 – June 2024 Chosen to lead QA automation and workflow optimization across departments using Salesforce LMS.

• Responsible for validating software quality and functionality of education and certification platforms using automation test suites in Python and Selenium.

• Delivered 60% reduction in manual testing through automation and DOM-based validations, enabling scalable workflows across 10 departments.

• Contributed to production support by maintaining regression test cases and ensuring defect- free deployment of pages and modules.

• Collaborated with cross-functional teams to enhance Oracle-based workflows and integrate insights into quality pipelines.

Quality Assurance Engineer Intern September 2021 – January 2022 Joined QA team to support LMS testing and automate lead-generation workflows using Java.

• Responsible for mastering business-as-usual processes within the QA team, leveraging JIRA and Selenium with Java to automate test cases.

• Achieved 25% workflow efficiency by streamlining lead-generation testing using the company's in-house Loan Management System (LMS).

• Supported defect documentation, integration testing, and Agile ceremonies to refine test cycles and reduce turnaround time.

• Participated in usability assessments and conducted exploratory testing of early-stage web applications aligned with project roadmaps.

Education

GRADUATE – DATA SCIENCE Pace University, New York, NY UNDERGRADUATE – COMPUTER SCIENCE Guru Nanak Khalsa College, Mumbai, Maharashtra TECHNICAL SKILLS

Programming Languages: Python, SQL

Machine Learning & Deep Learning: Neural Networks, Decision Trees, Random Forest, NLP, Large Language Models (LLMs), Multimodal Deep Learning, Graph Neural Networks (GNNs), Transformer Models, Reinforcement Learning, Generative AI

Data Visualization & Business Intelligence Tools: Microsoft Power BI, Google Data Studio, Tableau, Looker, Excel

Databases: MySQL, PostgreSQL

Tools & Scientific Computing Frameworks: PyTorch, TensorFlow, Jupyter Notebook, Scikit-learn, Google Cloud Platform, Outlook, Zoom

Certifications: Google Data Analytics Professional Certificate (October 2024), Google AI Essentials

(August 2024)

Operating System: Windows, Mac OS

Certifications & Licences

Certifications: Google Data Analytics Professional Certificate (October 2024), Google AI Essentials

(August 2024)

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