Headline

MS Economics & Data Science @ Northeastern | Ex-Business & Data Analyst @ MicroSaaS Capital

About

Passionate data and analytics professional dedicated to transforming complex business challenges through economic insights and data-driven solutions. With hands-on experience at MicroSaaS Capital, I enhanced business growth initiatives by 30% through advanced analytics and strategic market analysis. From developing a quality index for iPhones using R to conducting state-wise crime data analysis with SPSS, and researching global smartphone market trends, I excel at converting complex datasets into actionable business intelligence. Currently pursuing a Master's in Economics at Northeastern, I'm excited about combining statistical analysis, economic theory, and business acumen to create impactful solutions that bridge the gap between data and business strategy—one dataset at a time.

Location

United States

AI stack

anthropic apis

claude code

claude

gemini

manus

notebooklm

Work experience

Data Analyst at Adams State University, Nov 2026 - Present · 1 mo, Alamosa, CO

Grader at Northeastern University, Jan 2025 - May 2025 · 5 mos, - Evaluated assignments, exams, and project submissions, delivering detailed, constructive feedback to enhance students' understanding of key concepts in the Economics of Conflict. - Supervised students by monitoring progress and ensuring academic integrity while fostering an engaging learning environment.

Student-Administrator Partnership Fellow at Northeastern University, Sep 2024 - Apr 2026 · 1 y 7 mo, Boston, MA, University data was siloed across 3 disconnected systems with no queryable structure, engineered zero-cost ETL pipeline (pdfplumber, regex, BeautifulSoup4) parsing 5,200+ PDF pages into structured JSON, unifying 689,000+ enrollment records and producing the first complete dataset of 8,500+ courses and 8,000+ prerequisite relationships across 1,000+ programs Developed 3 production ML models: Random Forest bottleneck classifier (85% Precision@20 vs. 25% baseline), Program-Aware Markov sequence model, and demand forecaster (28.7% MAE improvement) — enabling data-driven capacity planning across 23,000+ course sections for the first time Ran multi-model NLP pipeline (VADER, RoBERTa, DistilBERT) across 129,000+ student evaluations; built semantic similarity search with sentence-transformers identifying 25,000+ alternative course pathways; modeled 8,500-node prerequisite graph in NetworkX for cascade risk analysis Built multi-tab Python Shiny dashboard integrating all 3 university data systems — exposed prerequisite chain depth, gateway course bottlenecks, cross-program sharing ratios, and enrollment density metrics for administrators

Teaching Assistant at Northeastern University, Sep 2024 - May 2025 · 9 mos, - Supervised a Principles of Macroeconomics class of 30 students, and graded and provided constructive feedback on their assignments, examinations, and project submissions. - Conducted weekly office hours to address queries related to the course content, provide academic support - Evaluated assignments, exams, and project submissions, delivering detailed, constructive feedback to enhance students' understanding of key concepts

Grader at Northeastern University, Sep 2024 - Dec 2024 · 4 mos, - Evaluated assignments, exams, and project submissions, delivering detailed, constructive feedback to enhance students' understanding of key concepts in International Economics. - Supervised students by monitoring progress and ensuring academic integrity while fostering an engaging learning environment.

Business Development Analyst at Micro SaaS Capital, Jun 2023 - Jul 2024 · 1 yr 2 mos, Bengaluru, Karnataka, India, - Implemented advanced analytics and data visualization using Excel for comprehensive market analysis, leading to the identification of strategic opportunities and improving business growth initiatives by 30% - Developed predictive models and automated reporting systems using SQL and statistical tools (SPSS), which enhanced revenue by 20% through optimized pricing strategies and market penetration analysis - Streamlined business operations by designing and implementing automated workflows using business intelligence tools, reducing process time by 25% and improving overall operational efficiency - Conducted in-depth market research and trend analysis using statistical methods and visualization techniques, providing data-driven insights that guided strategic decision-making processes

Education

Master's degree, Economics, Northeastern University

Bachelor of Arts - BA, Economics, ICFAI business school

Public links

github: https://github.com/satyapulipelli

spotify-portfolio-ruddy.vercel.app: https://spotify-portfolio-ruddy.vercel.app/