PRATHAMESH JALGAONKAR
San Diego, CA 929-***-**** *************@*****.*** linkedin.com/in/prathameshjalgaonkar Portfolio EDUCATION
San Diego State University Aug 2022 – May 2024
Master of Science in Information Systems San Diego, CA Coursework: Enterprise Database Management, Statistical Analysis, Business Analytics, Time Series Analysis, Object-Oriented Programming (Advanced Python), Big Data Infrastructure, Cloud Computing Pune University Aug 2018 – June 2022
Bachelor of Engineering in Electronics & Telecommunication Pune, India SKILLS
Analysis & Visualization Tools: Power BI, Tableau, Excel, PowerApps, Power Automate, SharePoint, Alteryx, Hadoop Database Management Systems: Microsoft SQL Server, MySQL, Oracle, PostgreSQL, NoSQL, MongoDB, AWS, Microsoft Azure Programming Technologies: Python (Pandas, NumPy, Matplotlib), R, SQL, APIs EXPERIENCE
San Diego State University’s Digital Innovation Lab Sep 2024 – Present Data Analyst San Diego, CA
• Developed automated scripts for extracting dynamic web data using Python and Selenium, streamlining data collection and ensuring high accuracy in data availability for analysis.
• Built interactive components to simulate user actions (scrolling, clicking, expanding content), capturing hidden and dynamically loaded data for comprehensive datasets.
• Documented processes & provided quality assurance checks to maintain data integrity throughout collection & transformation. A2Z POS Jan 2024 – July 2024
Data Analyst Intern San Diego, CA
• Utilized AWS Cost Explorer API to analyze and visualize service costs, driving cost optimization and budget forecasting.
• Created a stakeholder-level data collection app using PowerApps, linking task to projects and managing employment resources.
• Developed a Power BI dashboard to present key metrics, enhancing data-driven decision-making for stakeholders.
• Developed data pipelines using SharePoint for seamless project and task data synchronization.
• Partnered with stakeholders to define requirements, customize PowerApps, and build automated flows for project planning, continuously refining data workflows and visualizations. Wizeal July 2021 – July 2022
Data Analyst Mumbai, India
• Developed & maintained ETL pipelines to integrate data from security equipment logs, scheduling systems, & power equipment usage metrics, using Python, SQL, & API integrations, ensuring accurate & up-to-date datasets for analysis.
• Analyzed equipment usage patterns and manpower deployment efficiency, identifying cost-saving opportunities and operational bottlenecks, which led to a 15% improvement in resource allocation.
• Designed and maintained data dashboards in Power BI to track KPIs, providing real-time visibility into service performance and client satisfaction rates.
• Assisted in maintaining, optimizing, and querying databases in MySQL and Oracle to support data-driven decision-making across various business units.
PROJECTS
Olympics Data Analytics Azure, SQL, Power BI July 2024
• Built an end-to-end data pipeline using Azure Data Factory, Databricks (Apache Spark), and Synapse Analytics to process data on 11,000 athletes, 47 disciplines, and 743 teams from the Tokyo Olympics.
• Derived insights on medal counts and participation rates with SQL-based analytics in Power BI.
• Optimized data pipelines, cutting data latency by 30% and improving decision-making efficiency by 25%. Serverless Web Application on AWS Python, AWS May 2024
• Developed a scalable serverless web app using AWS S3, Lambda, DynamoDB, CloudFront, and Route 53.
• Integrated Lambda and DynamoDB for dynamic page view tracking and deployed a Python app on EC2 for visit monitoring.
• Enhanced security with IAM roles, SSL/TLS encryption, and access control via Route 53. Serverless Web Application on AWS Python, AWS Feb 2024
• Built and populated a PostgreSQL database using Python (pandas, psycopg2) to store and manage multi-year financial data.
• Designed a relational schema with three tables for efficient querying of over 1M rows of financial data.