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Shalini Tomar

Shalini Tomar

Revenue & Product Analyst

Noida, India $80/hr Remote Full-time 5+ yrs exp 95 · Outstanding

About

Revenue and Data Analyst with 5 years of experience across financial services, pharma commercial analytics, and enterprise software. Analyzed $40M+ ARR across 500+ enterprise accounts, identified $2M+ in at-risk renewal revenue, and automated SQL and Python workflows that cut month-end turnaround by ˜30%. Combines SQL, Python, Salesforce, and Power BI with hands-on AI/LLM automation and a software engineering foundation to build systems for revenue, retention, and GTM decisions.

Skills & Expertise (31)

Generative AI Expert
9.0/10
1
Years Exp
SQL Advanced
8.5/10
5
Years Exp
AI Workflow Automation Advanced
8.5/10
1
Years Exp
Python Advanced
8.3/10
5
Years Exp
Pandas Advanced
8.0/10
5
Years Exp
Advanced Excel Advanced
8.0/10
5
Years Exp
NumPy Advanced
7.8/10
5
Years Exp
Power BI Intermediate
7.5/10
3
Years Exp
Agile Intermediate
7.0/10
5
Years Exp
Salesforce Intermediate
7.0/10
3
Years Exp
Java Intermediate
6.5/10
1
Years Exp
Git Apex Visualforce Stakeholder Reporting Angular llm apis Jira REST APIs scikit-learn Model Context Protocol AI Agents Retention Large Language Models Reporting Automation Root Cause Analysis Data Quality Data Validation Data Modeling KPI Reporting Segmentation

Work Experience

Founder, AI & Analytics

Sthuthi Technologies, LLC

Jun 2026 - Present

Building AI-agent workflows for GTM and revenue operations, applying LLM APIs, prompt design, tool integration, and evaluation to automate sales and business processes. Built and deployed a live AI sales agent and lead-generation workflow, covering automated customer interaction, lead qualification, and multi-step task execution through connected tools.

Data Analyst

Moody’s Analytics

Sep 2025 - Jun 2026

Owned revenue analytics for a $40M+ ARR portfolio across 500+ enterprise accounts, analyzing renewals, expansion, contraction, and recurring growth for senior leadership reporting. Built Growth and Attrition analysis decomposing ARR movement across acquisitions, renewals, upgrades, downgrades, and churn, identifying $2M+ in at-risk renewal revenue for proactive retention action. Automated contract reconciliation across billing and CRM systems using SQL and Excel, reducing month-end reporting turnaround by ˜30% and eliminating recurring manual reconciliation errors. Analyzed 1M+ credit card transactions to calculate average transaction values and segment-level spending trends supporting financial reporting and portfolio strategy decisions.

Data Analyst

Axtria

Jul 2022 - Jul 2025

Managed end-to-end Salesforce data operations for pharma clients including Daiichi Sankyo and Bausch + Lomb, delivering 50+ recurring analytical deliverables at ˜99% on-time delivery. Automated 15+ reporting workflows using Python and SQL, reducing manual processing by ˜10 hours/week and lowering data-quality defects by ˜40%. Delivered sales performance and incentive compensation analytics supporting 10,000+ sales representatives and quarterly stakeholder decision-making across pharma commercial operations. Performed data validation, reconciliation, and root cause analysis on production issues, resolving 95%+ of data-quality issues within SLA with zero audit escalations. Mentored and supervised 2 junior analysts, reviewing deliverables and coordinating task allocation across parallel client workstreams.

Software Engineer

Capgemini

May 2021 - Jun 2022

Developed and maintained enterprise applications using Java, Angular, and SQL in Agile sprints, contributing to 10+ production releases; improved key screen load times by ˜20% through debugging and SQL query tuning.

Education

B.Tech, Information Technology - Vel Tech R&D Institute of Science and Technology

2016 - 2020 · India

Certifications

No certifications added yet

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Profile Score Breakdown

📷 Photo 10/10
📄 Resume 10/10
💼 Job Title 10/10
✍️ Bio 10/10
🛠️ Skills 20/20
🎓 Education 10/10
⏱️ Experience 15/15
💰 Rate 5/5
🏆 Certs 0/5
Verified 5/5
Total Score 95/100

Profile Overview

Member sinceSep 2026
Work ModeRemote
AvailabilityFull-time