Devansh Verma

Operations Associate

India2 yrs 11 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Expert in data analysis and visualization.
Proven track record in machine learning applications.
Strong collaboration skills across cross-functional teams.

Stackforce AI infers this person is a Data Analyst with expertise in Business Intelligence and Statistical Machine Learning.

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Skills

Core Skills

Data AnalysisBusiness IntelligenceStatistical Machine LearningData Management

Other Skills

Agile MethodologiesAgile TestingAnalytical SkillsArtificial Intelligence (AI)Artificial Intelligence for BusinessBusiness AnalysisBusiness AnalyticsBusiness StrategyCC++CollaborationCommunicationData VisualizationEmbedded SystemsFinancial Markets

About

Areas of Expertise: Data Analysis & Visualization, Statistical Machine Learning, Business Intelligence, Data Storytelling. • Expert in conducting advanced data analysis and translating complex technical findings into actionable insights for stakeholders. • Proactive and adaptable, excelling in fast-paced environments while effectively managing multiple tasks and deadlines. • Highly organized and detail-oriented, with a strong track record of setting priorities, optimizing workflows, and maintaining efficiency under pressure. • Self-motivated professional with outstanding interpersonal communication and presentation skills, adept at collaborating with cross-functional teams and driving project success.

Experience

Middle eight

F&B Assistant Analyst

Jun 2024 – Oct 2025 · 1 yr 4 mos · Greater London · On-site

Designed and maintained Power BI dashboards tracking key performance indicators, improving visibility into project progress and reducing reporting cycles by 35%.
Implemented automated data quality checks across core datasets, identifying and resolving discrepancies that improved decision confidence and reduced manual corrections by 50%.
Developed and executed QA and validation routines for sales reporting pipelines, ensuring 100% data accuracy, which improved sales forecasting reliability and enhanced executive decision-making using SQL.
Collaborated with finance, IT, and sales teams to implement reporting enhancements and deliver ad-hoc sales analytics
projects, driving actionable insights that supported revenue growth and optimised sales performance.
Partnered with cross-functional teams to map current-state processes and co-design future-state workflows, ensuring seamless
adoption of agile practices and realising measurable benefits.

Power BISQLData AnalysisData VisualizationCollaborationBusiness Intelligence

Jpmorgan chase & co.

Agile Virtual Experience Program

Aug 2023 – Sep 2023 · 1 mo · London

Collaborated with stakeholders in an Agile environment to gather requirements, iterate on solutions, and ensure alignment with business goals.
Built and visualized trend analysis dashboards using Power BI and Tableau to highlight key operational improvements.

Agile MethodologiesPower BITableauBusiness Intelligence

Queen mary university of london

MSc. Business Analysis Graduate Researcher

Sep 2022 – Aug 2023 · 11 mos · London

Developed a Credit Card Default Prediction System using machine learning, enhancing risk assessment accuracy to 82% through advanced modelling techniques.
Performed a multi-regional comparative analysis of CO₂ emissions, utilizing data visualization tools to generate actionable insights for stakeholders

Machine LearningData VisualizationStatistical Machine Learning

Sunevan

Junior Analyst

Jul 2020 – Mar 2021 · 8 mos · Indore, Madhya Pradesh, India

Developed and automated daily financial data reporting solutions to enhance liquidity monitoring, risk management, and data-driven decision-making.
Integrated and analyzed large datasets using SQL and Python (Pandas, NumPy) to ensure accuracy and consistency.
Built ETL workflows using Informatica and SAP BW to streamline data access across multiple sources.
Reduced manual effort by 40% and ad hoc reporting requests by 50% through Python automation.
Applied feature engineering and EDA techniques to improve predictive modeling and financial risk assessments

SQLPythonInformaticaData Management