Dinesh Kulkarni

Associate Consultant

Mumbai, Maharashtra, India3 yrs 9 mos experience

Key Highlights

Expert in data-driven decision making
Proven track record in consumer analytics
Skilled in cloud data migration and BI solutions

Stackforce AI infers this person is a Data Analytics professional with expertise in Consumer Goods and Insurance sectors.

Contact

Skills

Core Skills

Data AnalysisBusiness Intelligence (bi)Business AnalysisConsumer Analytics

Other Skills

Ad Hoc AnalysisAnalytical SkillsAnalytical SolutionsArithmeticComputer ScienceDAXDashboardsData AnalyticsData ModelingData VisualizationDatabasesEnglishExcel FormulasExtract, Transform, Load (ETL)K-Means Clustering

About

Analytics Consultant with close to 4 years of experience at Fractal(3) and EXL(1), blending business context with technical problem-solving. I enjoy building things that make data useful - from pipelines and dashboards to ML models. Currently pursuing PGDBA (IIMC, IITKGP, ISI). Outside work, i like to watch and play football, and solve crosswords!

Experience

Exl

Analytics Consultant II

Jun 2023 – Jun 2024 · 1 yr · Gurugram, Haryana, India · Hybrid

1. Acted as Data SME; translated business needs into SQL queries across Policy, Claims and Underwriting databases
2. Analyzed combined ratio over 13 P&C segments in USA;flagged unprofitable segments to guide repricing strategy
3. Reduced month-end peer-review cycle by 40%, enabling faster reporting & strategic inputs for product managers
4. Drove initial-phase migration of 200+ on-prem reports to cloud; mapped sources, built data layers & BI pipelines

SQLData AnalysisBusiness AnalysisStatistical AnalysisData ModelingBusiness Intelligence (BI)+1

Fractal analytics

Analytics Consultant 1

Sep 2020 – Jun 2023 · 2 yrs 9 mos · Mumbai, Maharashtra, India · Remote

Consumer Analytics
1. Led 8+ behavioural studies for a CPG giant; outputs guided Home & Personal Care strategy across 5 global markets
2. Applied K-Means clustering to segment consumption patterns, revealing cohorts with 66% higher usage frequency
3. Assessed clustering quality using Silhouette score (0.72); validated feature separation across identified segments
4. Derived temporal-statistical features from minute-level smart plug data, driving 25% cleaner panel recruitment
Field Sales Intelligence
1. Built rule-based classifier in python for 20K+ CPG sales routes; encoded business logic to flag field execution gaps
2. Computed KPIs from store-wise visit data on coverage, billing, share-of-shelf; identified underperforming routes
3. Streamlined daily performance reports for cluster CEOs to prioritize distributor decisions in 32 territories in India
Retail Analytics
1. Prototyped analytics engine in KNIME using Nielsen+Shipment data to derive SKU insights across 11 AMA markets
2. Evaluated Numeric and Weighted Distribution across product hierarchy to optimize strategic channel decisions
3. Translated prototype logic to PySpark; leveraged distributed computing to scale data aggregation pipelines (RDDs)