Goutham Patchipulusu — Data Analyst
I'm a quantitative storyteller, weaving narratives through data analysis! I transform raw data into meaningful insights and scalable systems that drive business excellence. With a background at the intersection of data engineering, advanced analytics, and product strategy, I specialize in turning complex datasets into reliable, actionable intelligence. My expertise includes building robust data pipelines (AWS, PySpark, ETL) and engineering workflows that make data analytics-ready, while also applying machine learning and statistical analysis to uncover patterns, validate hypotheses, and inform decision-making. I thrive at connecting technical execution with business context—whether that’s embedding analytics into product roadmaps, designing predictive models to forecast customer behavior, or creating dashboards that enable teams to act with confidence. Key Skills: 1. Data Analysis: Proficient in extracting, cleaning, and analyzing large datasets to derive actionable insights. 2. Data Engineering: Experienced in building scalable data pipelines using AWS, PySpark, and ETL processes to handle large datasets efficiently. 3. Machine Learning: Experienced in developing predictive models and implementing machine learning algorithms to enhance decision-making processes. 4. Statistical Analysis: Skilled in applying statistical methods to interpret data and validate hypotheses. 5. Data Visualization: Adept at creating compelling visualizations to communicate findings effectively. 6. Business Analytics: Specialized in transforming raw data into actionable intelligence that empowers businesses to make informed decisions and achieve sustainable growth. 7. Product Analytics: Proficient in utilizing data to inform product development and optimization. Currently completed my Master’s in Information Management (Data Science & Analytics) at the University of Maryland, I continue to expand my expertise while building on my foundation from BITS Pilani. 🔍 Open to opportunities in data engineering, data science, or analytics—particularly roles where I can design scalable data systems, optimize workflows, and contribute to impactful projects. 📬 Let’s connect! GitHub: github.com/PatchiG Website: patchig.github.io Email: gouthamp@umd.edu
Stackforce AI infers this person is a Data Science and Analytics professional with a strong focus on data engineering and product strategy.
Experience: 6 yrs
Skills
- Data Analysis
- Data Visualization
- Software Testing
- Project Management
Career Highlights
- Expert in building scalable data pipelines and analytics systems.
- Proficient in machine learning and statistical analysis.
- Strong background in data storytelling and visualization.
Work Experience
Amtrak
Data Governance Consultant (4 mos)
University of Maryland
Computer Science Grader (2 mos)
Computer Science Grader (8 mos)
University of Maryland - Robert H. Smith School of Business
Graduate Assistant Data Analyst (2 yrs 2 mos)
Meesho
Data Analyst (1 yr 7 mos)
BrightCHAMPS
Business Data Analyst (6 mos)
JPMorganChase
Software Testing Intern (5 mos)
JSW Steel
Plant Efficiency Management Intern (3 mos)
Bestpricedude
Data Entry Technician (5 mos)
Education
Master of Science - MS at University of Maryland
Bachelor of Engineering - BE at BITS Pilani, Hyderabad Campus