Stuti Singh

Business Development Executive

Bengaluru, Karnataka, India1 yr 8 mos experience

Key Highlights

Architected advanced AI-driven data systems.
Led successful Power BI deployment reducing errors by 90%.
Expert in building scalable ETL pipelines.

Stackforce AI infers this person is a SaaS Data Engineer with expertise in AI and BI solutions.

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Skills

Core Skills

PythonEtlLlm OrchestrationPostgresqlPower Bi

Other Skills

SQLAlchemyScrapyPlaywrightSeleniumHubSpotAutonomous AgentsNumPyPandasDAXPower QueryData ModelingSQLPower AutomateRBACGDPR

About

I build data systems and AI-powered automation that turn messy, fragmented data into reliable infrastructure. Currently at LH2 Holdings, I architect end-to-end pipelines - from large-scale web scraping and ETL to LLM-assisted classification and CRM orchestration - handling 10k+ record datasets across HubSpot, PostgreSQL, Notion. Previously at Wissen Technology, I led Power BI deployment across HR, Finance, Sales, and TA - reducing manual reporting errors by 90% and cutting data latency to near real-time. Core skills: Python (Pandas, NumPy, SQLAlchemy, Scrapy, Playwright, Selenium) · SQL · ETL · Power BI · DAX · · LLM Orchestration · Autonomous Agents · HubSpot · REST APIs · Data Modeling

Experience

1 yr 8 mos

Total Experience

1 yr 3 mos

Average Tenure

3 mos

Current Experience

Lh2 holdings

Corporate Development Analyst

Mar 2026 – Present · 3 mos · Bengaluru · On-site

Built and deployed production-grade AI and data infrastructure from scratch. Architected an LLM-powered media intelligence platform that autonomously identifies, enriches, and tracks 10k+ journalist and executive contacts across hundreds of publications — replacing what would otherwise require a full research team.
Engineered end-to-end ETL pipelines (Python, Pandas, PostgreSQL, SQLAlchemy) for large-scale CRM data cleaning, deduplication, and normalization. Built multi-source web scraping systems using Scrapy, Playwright, and Selenium, reducing manual research effort by ~70%.
Integrated OpenAI API into classification and tagging workflows to auto-categorize news, companies, and outreach metadata at scale. Built a deep-research engine that generates 30k+ character stakeholder intelligence briefs through orchestrated web search, scraping, and LLM summarization pipelines.
Designed HubSpot CRM architecture with hierarchical data modeling across media groups, publications, and journalists. Connected HubSpot, Gmail, Notion, Woodpecker, and Google Drive via custom API integrations with sync logic and retry handling.
Skills: Python · LLM Orchestration · ETL · PostgreSQL · SQLAlchemy · Scrapy · Playwright · Selenium · HubSpot · · Autonomous Agents

PythonLLM OrchestrationETLPostgreSQLSQLAlchemyScrapy+4

Indian institute of management bangalore

Associate Researcher

Feb 2026 – Present · 4 mos · Bengaluru · Hybrid

NumPyPandas

Wissen technology

Associate Consultant (Chief of Staff Office)

Jun 2024 – Oct 2025 · 1 yr 4 mos · Bengaluru

Led end-to-end Power BI deployment across HR, Sales, Finance, and Talent Acquisition for a technology firm — achieving a 40% increase in data visibility across departments and cutting manual reporting errors by 90%.
Built Star Schema data models and ETL pipelines integrating Zoho Recruit using Python (Pandas/NumPy) and Power Query (M Language). Reduced data latency to near real-time, enabling live dashboards for C-suite decision-making.
Designed role-based access control (RBAC) across all BI assets and managed multi-environment governance (Dev/Staging/Prod) with GDPR compliance. Built proactive alerting systems via Power Automate to flag anomalies in live metrics.
Skills: Power BI · DAX · Power Query · ETL · Python · Pandas · Data Modeling · SQL · Power Automate · RBAC · GDPR

Power BIDAXPower QueryETLPythonPandas+5

Nsrcel

Consultant

Sep 2023 – Feb 2024 · 5 mos · IIM Bengaluru, Karnataka, India · On-site

Facilitated sessions for founders on Lean Canvas, Design Thinking, and pitching.
Managed 18 Launchpad founders and 21 Campus Founders during a 3-month incubation period, aiding in venture development.
Reviewed over 80 applications for the Launchpad incubation program.
Maintained communication with stakeholders, fostering sustainable relationships.
Created a cohort-engagement plan to build a community of founders for growth and learning.
Curated activities for founders to reflect on their ventures and encouraged idea exchanges for improvement.
Interviewed 20 founders and curated case studies on Launchpad alumni, analyzing venture trajectories and growth/failure factors.
Presented eight case studies with detailed data on growth trends and the impact of USPs on product-market fit.
Tracked and analyzed program data to assess factors influencing venture performance during incubation.
Compiled and tracked master data of 700+ Launchpad alumni, analyzing sector-wise trends since 2017.