About
Hello, my name is Poojan. I am currently working as a Data Scientist at Jacobs and hold a graduate in Data Analytics from San Jose State University. With over 5 years of industry experience in Data Science, Analytics, Software Development, and Machine Learning, I have previously worked as a Data Analyst at TCS, supporting one of the leading bank, and as a Software Developer for a Los Angeles-based web designing company. I am highly motivated, eager to explore emerging technologies, and seeking full-time opportunities in Artificial Intelligence, Data Science, Data Engineering, or Software Engineering.
Data Scientist/Engineer.
AI and Data professional with a strong foundation in Data Science, Analytics and Software Development, coupled with over 5 years of experience in end-to-end data and AI lifecycle management. Skilled in designing, building, deploying, and maintaining data-driven and AI-powered solutions across the entire application lifecycle.
- Phone: +1 (XXX) XXX-XX06
- Location: San Francisco, California
- Country: United States of America
- Degree: Master Of Science, Data Analytics
- Mail: gagranipoojan@yahoo.com
- Github: https://github.com/poojan243
Skills
Competent in a variety of languages. I have a passion for technology and a strong desire to master new skills. The list below includes a few of my technical skills.
Resume
My professional goal is to improve my technical abilities and provide technological solutions that will benefit society.
Summary
Poojan Gagrani
A seasoned IT professional with a distinct experience as a Data Scientist, Analyst and a Software Developer and a dedicated IT professional with 5 years of experience in working through all the stages data-driven and AI-powered applications lifecycle.
- San Francisco, CA, USA
- +1 (XXX) XXX-XX06
- gagranipoojan@yahoo.com
- GitHub
Education
Master of Science, Data Analytics
2023 - 2024
San Jose State University, San Jose, CA, USA
Bachelor of Engineering, Computer Engineering
2015 - 2019
Gujarat Technological University, Gujarat, India
Skills
- PROGRAMMING LANGUAGES: Python, JavaScript, C#, C++
- DATABASE: SQL Server, MySQL, MongoDB, Cosmos DB, Snowflake, Databricks, AWS Redis
- WEB DEVELOPMENT: ASP.NET, AngularJS, HTML, CSS, Bootstrap, Flask
- DATA SCIENCE: Machine Learning, NumPy, Pandas, Seaborn, Tableau
- SOFTWARE DEVELOPMENT LIFECYLE: Agile, SCRUM, CRISP-DM, Waterfall
- TOOLS: GitHub, JIRA, Visual Studio, Buddy Pipelines CI/CD, Trello, Postman
Professional Experience
Data Scientist/Engineer
Mar 2025 - Present
Jacobs Engineering Group Inc. - Oakland, CA, USA
- Analyzed large-scale geospatial and operational datasets using Python, SQL, Snowflake, and Palantir Foundry to generate actionable insights supporting PG&E's Vegetation Management operations.
- Developed and maintained interactive Power BI dashboards to track KPIs and present data-driven recommendations to executive leadership and field operations.
- Built automated ETL pipelines to integrate data from SAP, OneVM, and other enterprise sources, reducing manual reporting time by over 70% and improving data accuracy.
- Designed predictive machine learning models in Python to identify high-risk vegetation zones, enabling proactive risk mitigation and reducing wildfire exposure.
- Collaborated cross-functionally with project managers, engineers, and analysts to translate business goals into scalable, data-driven solutions aligned with regulatory and operational requirements.
Student Assistant - Operations Analyst Intern
Jul 2024 - Dec 2024
Facilities Development & Operations at SJSU - San Jose, CA, USA
- Documented processes for SJSU's Facilities Development and Operations group as a Student Assistant. Created comprehensive administrative directives and detailed operating procedures.
- Developed flow diagrams to visually streamline complex operational workflows using tools like Visio, Lucidchart, Microsoft Office, and Google Workspace.
- Collaborated with various departments to gather information, define "as-is" and "to-be" processes, and ensure accuracy in documentation, adhering to SJSU’s standards and guidelines.
- Utilized Agile and Six Sigma methodologies to recommend process enhancements and facilitate communication of updates to relevant stakeholders.
- Gathered and analyzed data to support the development of efficient operational procedures, contributing to improved overall operational efficiency.
Student Assistant - Admin Manager
May 2023 - Jun 2024
Center for the Development of Recycling at SJSU - San Jose, CA, USA
- Led critical website migration projects using Web Technologies (Wordpress, HTML, CSS, JavaScript), emphasizing efficient migration to new domain and efficient work.
- Collaborated with Santa Clara County to divert thousands of tons of household hazardous waste annually. Oversaw content updates, staff training, and supervision, ensuring project success. Managed hotline, addressing hazmat queries for thousands of residents.
Data Analyst
Jan 2022 - Nov 2022
Tata Consultancy Services - GJ, India
- Leveraged Python, Pandas, NumPy, and Scikit-learn to develop predictive models and automate data analysis tasks, improving decision-making efficiency by 20% for Bank of Baroda.
- Built and optimized ETL pipelines in Azure, ensuring seamless data flow and integration across systems.
- Conducted exploratory data analysis (EDA) and feature engineering to identify trends and deliver actionable insights for risk management strategies.
- Created interactive dashboards and visualizations using Matplotlib and Power BI, enabling stakeholders to make informed decisions.
- Participated in all stages of the SDLC, from requirement analysis to deployment, ensuring alignment with business goals.
Business Analyst
Jan 2021 - Dec 2021
Pronix Technologies Pvt. Ltd. - GJ, India
- Defined requirements and configured SQL Server and database solutions for system improvements, ensuring alignment with client needs.
- Designed Power BI dashboards and collaborated with technical teams to translate business needs into actionable insights, improving operational efficiency and decision-making.
- Performed unit testing and integrity testing, ensuring satisfactory user validation and efficient product delivery.
- Optimized services to improve page load times by 8%, enhancing user experience.
- Managed support and troubleshooting for ERP and CMS systems, improving overall system performance.
Software Developer
Aug 2019 - Jan 2021
Pronix Technologies Pvt. Ltd. - GJ, India
- Designed and developed web applications using ASP .NET MVC, C#, SQL Server, and AngularJS, adhering to coding standards and design principles.
- Built RESTful APIs to enable seamless integration across platforms, improving application modularity by 30%.
- Implemented CI/CD pipelines to automate code deployment, reducing manual effort by 60%.
- Collaborated with cross-functional teams to identify and resolve production incidents, achieving 99% SLA compliance.
- Developed reactive and efficient websites, leveraging modern web frameworks, HTML5, TypeScript, and relational database expertise.
Web Developer Intern
Jan 2019 - Jun 2019
CloudPlus Technologies - GJ, India
- Honed skills in C# and ASP .NET framework.
- Delivered an employment management portal using ASP .NET and KendoUI.
- Developed robust skills in ASP .NET, JavaScript, jQuery, HTML, CSS, and Bootstrap.
Projects
I have worked on a variety of projects with an emphasis on finding practical solutions throughout my degree program and professional experience.
Credit Card Fraud Detection System
A fraud detection system utilizing machine learning models such as Logistic Regression, K-Nearest Neighbors, and Support Vector Machines to identify fraudulent credit card transactions from highly imbalanced data.
GitHubAFKAdventures: Steam Game Recommendation System
A comprehensive recommendation system leveraging collaborative filtering, content-based filtering, and clustering techniques to provide personalized game suggestions for Steam users.
GitHubImage Captioning using Deep Learning Techniques (Vit and GPT-2)
Developed a novel multilingual, color-focused captioning system for the visually impaired using ViT and GPT-2 models, with accuracy of 40% using vast images in MS COCO and Flickr30k datasets, enhancing image accessibility and captioning tasks.
GitHubInternet Downtime Prediction Analysis using Machine Learning
Employed various classification models such as Random Forest, Desicion Tree and Crafted a cutting-edge machine learning ensemble of supervised machine learning algorithms, achieving 96.28% accuracy in forecasting internet outages, markedly elevating network reliability standards.
GitHubVTuber Big Data Analytics
Conducted an in-depth analysis of VTuber audience engagement, utilizing advanced data analytics to examine chat interactions, donation trends, and moderation on various platforms. This study highlights factors influencing viewer loyalty and aids agencies in identifying potential for brand collaborations, all presented through an accessible PowerBi-visualized website.
GitHubWine Quality Analysis using Machine Learning and Data Visualization
Directed a Wine Quality Data Analysis project, merging physicochemical and sensory data for comprehensive quality assessment. Developed a machine learning model for objective evaluation of essential quality indicators.
GitHubH1B Visa Application Analysis using Relational and NoSQL Databases
Analyzed H1B visa applications, revealing hidden trends using Python and Tableau for effective data visualization. Utilized Azure and Snowflake databases for data storage and processing.
GitHubIris Speices Classification Using Logistic Regression
This project uses logistic regression to classify Iris species. Through exploratory data analysis, model training, and evaluation with Scikit-learn in Python, it achieves high accuracy in identifying Setosa, Versicolour, and Virginica from flower measurements, demonstrating fundamental machine learning classification.
GitHubHouse Price Prediction using Linear Regression with Gradient Descent
This project uses linear regression for house price prediction using scikit-learn and Gradient Descent. Includes data preprocessing, model training, prediction, and evaluation with visualizations.
GitHub