Kartik Umesh Sharma

CEO

Hyderabad, Telangana, India12 yrs 10 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Expert in data-driven problem solving.
Led cross-functional teams in analytics delivery.
Specialized in insurance technology solutions.

Stackforce AI infers this person is a Data-Driven Business Analyst specializing in InsurTech and Retail Analytics.

Contact

Skills

Core Skills

Data AnalyticsRequirements GatheringBusiness AnalysisData AnalysisDashboardingReporting

Other Skills

AgileAlgorithm DesignArtificial Intelligence (AI)Azure SynapseCC++ConfluenceEmployee TrainingImage ProcessingJIRAJavaMicrosoft ExcelMicrosoft PowerPointMicrosoft SQL ServerMicrosoft Word

About

Business Analyst / Tech Lead with a deep passion for data-driven problem solving and building scalable, analytics-focused solutions within the insurance technology space. I specialize in translating complex business needs into actionable data requirements, ensuring that every solution—from dashboards to machine learning workflows—is grounded in reliable, high-quality data. Over the years, I’ve led cross-functional teams to design and deliver solutions across the full data lifecycle: from requirements gathering and data modeling to analytics, automation, and predictive insights. My work spans descriptive, diagnostic, predictive, and prescriptive analytics, using tools like Tableau, SQL, Python, and ML frameworks to support strategic decision-making. Core Strengths: - Business & data requirements gathering - Leading data and analytics delivery teams - Building scalable, data-centric solutions in the insurance domain - Dashboarding, reporting, and BI (Tableau) - Predictive & prescriptive modeling for business outcomes - Converting business challenges into measurable, data-backed insights I am driven by the belief that data is the strongest lever for transformation, and I enjoy bridging business, technology, and analytics to create solutions that deliver real, measurable impact.

Experience

Chubb

Technical Lead

Jun 2023 – Present · 2 yrs 9 mos · Hyderabad, Telangana, India

I lead end-to-end delivery of data-driven insurance technology solutions, translating business requirements into scalable technical architectures.
Directed a cross-functional team of developers, BAs, and analysts to deliver high-impact features on time.
Drove requirement workshops with global stakeholders and ensured alignment between business goals and engineering execution.
Optimized data workflows, improving reporting efficiency and decision-support processes across teams.
Collaborated closely with product, data, and engineering teams to modernize legacy processes.
Tech & Tools: Azure Synapse, Snowflake, JIRA, Confluence, Agile

Azure SynapseSnowflakeJIRAConfluenceAgileData Analytics+1

Tetrasoft inc.

Lead Business Analyst

Aug 2021 – Jun 2023 · 1 yr 10 mos · Pune, Maharashtra, India

Owned the complete BA cycle — requirement gathering, process mapping, functional documentation, and sprint planning.
Led analytics-focused BA initiatives supporting predictive and diagnostic insights for insurance processes.
Partnered with data teams to ensure accurate requirement translation for dashboards, ML models, and reporting workflows.
Developed BRDs, FRDs, and user stories enabling clarity and alignment across global stakeholders.
Streamlined business processes, reducing manual efforts and improving turnaround time for key workflows.

Business AnalysisData Analytics

Kloud9

2 roles

Lead Business Analyst

Promoted

May 2021 – Aug 2021 · 3 mos

Led business analysis for retail analytics and digital transformation initiatives, aligning data-driven solutions with client business goals.
Facilitated requirement gathering sessions across merchandising, sales, and supply chain teams to define analytical and reporting needs.
Translated retail KPIs (sales, inventory turns, margins, promotions, store performance) into actionable functional specifications.
Worked closely with data engineering teams to ensure accurate data mapping and validation from POS, ERP, and inventory systems.
Delivered dashboards and analytical insights that improved decision-making for store operations and category management.

Business AnalysisData Analytics

Senior Data Analyst

May 2020 – Apr 2021 · 11 mos

Built analytical dashboards for retail performance, covering sales trends, customer behavior, inventory movement, and store KPIs.
Analyzed large datasets from POS systems to uncover patterns that supported pricing, promotions, and assortment decisions.
Collaborated with business teams to convert ambiguous retail business problems into structured analytical models.
Improved data sanity and reporting accuracy through rigorous cleaning, transformation, and validation across multiple retail data sources.
Tech & Tools: Tableau, SQL, Python

Data AnalysisDashboarding

Storeking

Data Analyst

Nov 2019 – May 2020 · 6 mos · Bengaluru Area, India

Delivered daily and weekly analytics on retail operations, including sales performance, SKU-level movement, vendor performance, and supply chain metrics.
Worked closely with category managers to identify high-performing and underperforming SKUs using descriptive and diagnostic analytics.
Built dashboards to help leadership track store profitability, customer purchase patterns, and region-wise performance.
Automated repetitive reporting tasks, improving turnaround time for business teams by up to 30–40%.

Data AnalysisReporting