Aradhna Ganvir

Associate Consultant

Pune, Maharashtra, India13 yrs experience
Highly StableAI Enabled

Key Highlights

  • Expert in transforming fragmented data into AI-ready ecosystems.
  • Delivered ESG solutions enhancing sustainability reporting accuracy.
  • Strong foundation in data governance and advanced analytics.
Stackforce AI infers this person is a Data & AI professional specializing in Fintech and CPG sectors.

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Skills

Core Skills

Data GovernanceData EngineeringAnalyticsBusiness AnalysisEducationStructural Engineering

Other Skills

Agile MethodologiesAmazon Web Services (AWS)AtaccamaAzure Data FactoryAzure Data LakeAzure DevOpsData AnalysisData Governance Tools: CollibraData ModelingData ProfilingData WarehousingDatabases: PostgreSQLDeep LearningESG data solutionsETL pipelines

About

I help enterprises transform fragmented, multi-source data into governed, AI-ready ecosystems that enable smarter decisions, regulatory confidence, and sustainable growth. I am a Data & AI professional with experience across analytics, data modelling, and data governance, working at the intersection of solution design, data trust, and AI enablement. My focus is on building scalable data foundations that support advanced analytics, Generative AI use cases, and enterprise-grade reporting—particularly in regulated and complex environments. 💡 At Capco: I deliver ESG data solutions for a global bank, integrating Bloomberg, MSCI, and S&P datasets through Python and SQL pipelines to • Improved sustainability-reporting accuracy. • Strengthened compliance and audit readiness. • Automated ESG metrics using AI-based validation frameworks. Previously at Genpact, I led analytics and data-foundation initiatives across operating companies, unifying data from SAP ERP, SEM, and Oracle JDE into a governed enterprise data warehouse. This enabled consistent revenue, pricing, and promotion analytics, accelerated CXO-level insights, and established end-to-end data lineage and performance visibility across markets. 🧠 Technical Stack: Python | SQL | Azure Databricks 🔍 Data Governance & Lineage: Collibra | Ataccama | PowerMe 🏗️ Architecture & Modeling: Medallion Architecture | Dimensional Modeling | Data Warehousing 🏢 Domains: ESG | CPG | BFSI 🎓 Recent Upskilling: Advanced Generative AI Certification (UpGrad) Gained strong expertise in LLMs, Transformer architectures and developed models using LangChain, LlamaIndex, RAG, Vector Databases, Prompt Engineering, and performed Fine-Tuning. I have built strong foundations in statistics, supervised and unsupervised machine learning, NLP, and deep learning models, and I am currently deepening my expertise in Azure Databricks, scalable data platforms, and developing a working understanding of agent-based and Generative AI systems to support enterprise-grade AI architectures. Let’s Connect If you are looking for someone who can combine data, AI, and human collaboration to build future-ready solutions while inspiring teams, I would love to connect. 📩 Reach me here on LinkedIn or at araganvir@gmail.com

Experience

13 yrs
Total Experience
2 yrs 10 mos
Average Tenure
1 yr 7 mos
Current Experience

Capco

Senior Consultant (Data Governance & ESG Analytics)

Nov 2024Present · 1 yr 7 mos · Pune, Maharashtra, India · On-site

  • Client: Multinational bank and financial services company
  • Task: Deliver ESG data solutions and develop strategic and tactical PoCs for regulatory and sustainability reporting
  • Key accomplishments include:
  • 1. Established a comprehensive ESG data collection framework that aligned business needs with external vendor data sources, enhancing reporting accuracy by 30% for sustainability metrics across the organization.
  • 2. Integrated diverse ESG datasets from Bloomberg, S&P, MSCI, and Clarity AI into standardized formats that improved downstream analytics capabilities for sustainable investment reporting by 40%.
  • 3. Designed and developed robust data pipelines using PySpark and SQL to transform raw vendor data into contextual data assets (CDAs), streamlining internal reporting processes.
  • 4. Defined validation rules and automated data quality checks utilizing Great Expectations to ensure consistency and reliability of ESG metrics across taxonomy fields, achieving a 95% accuracy rate in reported data.
  • 5. Delivered critical ESG data outputs to enterprise BI platforms that supported portfolio-level reporting on green investments and emissions exposure while aligning with SDG impact indicators effectively.
  • 6. Drafted user stories and KPIs in Agile sprints while collaborating with product owners and engineers to enhance the functionality of ESG metrics within the project scope successfully.
  • 7. Led User Acceptance Testing (UAT) efforts for ESG data pipelines by preparing detailed test scripts that identified defects promptly; coordinated resolutions with QA teams to ensure timely project delivery.
  • 8. Built Proofs of Concept (PoCs) demonstrating automation workflows for ESG reporting that included emissions tracking dashboards; these initiatives drove stakeholder engagement in sustainability practices significantly.
PythonSQLESG data solutionsdata governancedata pipelinesdata quality checks+2

Genpact

2 roles

Analytics Engineer

Promoted

Apr 2022Aug 2024 · 2 yrs 4 mos · Hybrid

  • Client: Top Beer & Cider Manufacturers in Europe
  • Task: To Create Harmonized data pipelines by developing a unified data warehouse model.
  • Roles & Responsibilities:
  • 1. Leading the development and deployment of analytics products in the Commerce domain for Revenue margin growth and pricing, promotion optimization.
  • 2. Improved feature development processes, reducing project delays by implementing agile methodologies and backlog prioritization based on real-time product metrics.
  • 3. Led Agile ceremonies, including daily stand-ups and sprint planning in a cross functional team.
  • 4. Ensure Data Governance best practices by performing data quality checks, cleansing, and profiling source systems using COLLIBRA based on business rules.
  • 5. Ensured data quality checks and promoted metadata lineage using ATACAMA, POWERME.
  • 6. Build ETL pipelines by integrating data from SAP ERP, SEM, Oracle JDE, local databases, performed data analysis, data visualization, data validation for data-driven decision-making.
  • 7. Drove the UAT test plans, working closely with business users to validate features, troubleshoot issues, and ensure quality releases aligned with business expectations.
  • 8. Analyzed and reviewed external API tools like weather data, Macroeconomics and perform analysis on API calls, cost, benefits.
data warehouseETL pipelinesdata governancedata quality checksagile methodologiesData Engineering+1

Senior Business Analyst

Aug 2021Apr 2022 · 8 mos · Hybrid

  • Roles & Responsibilities:
  • 1. Facilitated all phases of the SDLC by aligning technical teams with clear business objectives, ensuring seamless integration of business needs into technical solutions.
  • 2. Identify risks to data flows & planned SLA resolution to maintain stable platforms and ensure process improvement
  • 3. Led cross-functional teams in gathering business requirements, optimizing processes, and documenting BRDs/FRDs to enhance project alignment and execution.
  • 4. Streamlined requirement validation processes, minimize documentation errors by gathering and validating detailed business and system requirements in Confluence.
SDLCbusiness requirementsprocess optimizationBusiness Analysis

Dr.d.y.patil charitable trust, pune

Assistant Professor

Jul 2016Feb 2021 · 4 yrs 7 mos · Pune, Maharashtra, India

  • 1. Delivered lectures on Engineering Mechanics, Theory of Structures, RCC Design, and Steel Structure Design, covering forces, equilibrium, structural analysis, material properties, and IS code compliance, while applying theory to real-world engineering challenges.
  • 2. Laboratory Supervision: Guided students in applying engineering concepts through hands-on experiments and projects in mechanics and structural design.
  • 3. Student Mentorship: Provided academic support and guidance on complex topics, projects, and exam preparation.
  • 4. Research Contributions: Participated in research on structural engineering, focusing on RCC and steel applications.
  • 5. Industry Collaboration: Partnered with industry professionals to provide students with internships and real-world insights into structural engineering projects.
engineering mechanicsstructural designstudent mentorshipEducation

Career break

Full-time parenting

Sep 2014Jun 2016 · 1 yr 9 mos · Maharashtra

  • 1. Dedicated to early childhood development: Fully committed to my child’s formative years, building a strong foundation for his growth while embracing the challenges of motherhood.
  • 2. Excelled in multitasking: Managed disrupted sleep and constant caregiving while balancing emotional, physical, and mental demands with academic goals.
  • 3. Pursued academic excellence: Completed three semesters and project submissions for my Master’s in Structural Engineering from SPPU with 7.66 CGPA first class, demonstrating unwavering commitment to growth and determination.
  • 4. Built resilience and emotional intelligence: Developed resilience and emotional intelligence, enhancing my ability to thrive in dynamic environments.
  • 5.Prioritized well-being: Gained a profound understanding of balancing physical and mental health, ensuring a holistic approach to life and career.

Various companies

Structural Design Engineer

Jul 2012Aug 2014 · 2 yrs 1 mo · Mumbai, Maharashtra · On-site

  • 1. Structural Design: Led the design of high-rise buildings, malls, hospitals, and post-tensioned structures, ensuring compliance with safety standards, functionality, and sustainability.
  • 2. Project Coordination and Management: Managed structural projects, coordinating with architects, engineers, and stakeholders to ensure timely, on-budget delivery.
  • 3.Team Leadership: Led and mentored a team of engineers, ensuring high-quality work and fostering professional growth.
  • 4. Design Software Expertise: Utilized design and analysis tools (e.g., ETABS, STAAD Pro, AutoCAD) to optimize structural systems.
  • 5. Compliance and Quality Assurance: Ensured adherence to safety codes, regulations, and quality standards in all designs.
  • 6. Risk Management: Identified risks and implemented solutions to mitigate issues and prevent project delays.
structural designproject managementdesign softwareStructural Engineering

Education

COEP Technological University

Bachelor of Technology - BTech — Civil Engineering

Savitribai Phule Pune University

Master's degree — Structural Engineering

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