Sugandh Goyal

Data Analyst with hands-on experience building Power BI dashboards, automating SQL/Python reporting pipelines, and analyzing performance metrics for enterprise marketing and product data. Skilled in data modeling, database design (PostgreSQL, Snowflake), and statistical analysis, with a strong foundation in machine learning and a competitive programming background (900+ DSA problems solved).

Associate Data Analyst at Sigmoid Analytics (2025-07 – Present)

• Designed and optimized relational data models across multiple schemas, improving reporting efficiency by ~25% and increasing data accessibility for cross-functional teams.
• Built and maintained 50+ Power BI dashboards to track business KPIs, giving stakeholders faster access to decision-ready data.
• Analyzed paid social campaign data (Meta Ads Manager) across CPM, CTR, CPC, and ROAS for top LATAM enterprise brands; used Python to automate media-planning roadmaps, cutting CPC/CPM by ~15–20% through full-funnel KPI optimization (Awareness vs. Consideration).
• Designed and implemented a scalable PostgreSQL database schema supporting multiple internal applications.
• Automated recurring reporting workflows using Python and Openpyxl, eliminating manual data entry and freeing time for analysis.
• Built AI-assisted chatbot tools (Node.js, Express.js, OpenAI APIs, FAISS embeddings) to surface data insights through natural-language queries.

Data Engineer Intern at Sigmoid Analytics (2025-01 – 2025-06)

• Built data models in Snowflake, cutting manual data-prep time by ~25% and streamlining downstream data manipulation and analysis.
• Built 5–10 dashboards in Power BI and Tableau to process and analyze data, delivering data visualizations for clients and stakeholders.

B.Tech in Electronics and Communication Engineering – Maulana Azad National Institute of Technology (MANIT) (2021 – 2025)

Higher Secondary – Nehru Public School (2018 – 2020)