Anish Varma

Operations Associate

Bengaluru, Karnataka, India10 yrs 9 mos experience

Most Likely To SwitchAI Enabled

Key Highlights

12 years of experience in Supply Chain Analytics.
Expert in Machine Learning and Predictive Analytics.
Proven track record in cross-functional stakeholder influence.

Stackforce AI infers this person is a Supply Chain Analytics expert with a strong focus on data-driven decision making.

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Skills

Core Skills

AnalyticsBusiness IntelligenceBusiness AnalysisPredictive Analytics

Other Skills

Data AnalysisSegmentationRecommendation SystemsCampaign Performance AnalysisTest and Control AnalysisLogistic RegressionClustering TechniquesDecision TreesMachine LearningSupply Chain OptimizationManagement ConsultingData ScienceDeep LearningSQLHadoop

About

Supply Chain Analytics professional with 12 years of experience translating complex business problems into simple, scalable solutions across inventory management, transportation, and digital fulfillment. Known for influencing cross-functional stakeholders across Product, Data Science, Engineering, and Business to drive enterprise outcomes and lead teams through transformationCore Competencies: Machine Learning & Predictive Analytics || Optimization & Prescriptive Analytics || Product Vision & Road mapping || Cross-Functional Alignment || MVP Design & Delivery || Feature Discovery & Requirements

Experience

Target

4 roles

Lead Operations Research

Promoted

Jul 2022 – Present · 3 yrs 8 mos

Senior Supply Chain Network Optimization Manager

Oct 2021 – Jun 2022 · 8 mos

Senior Data Scientist

Jun 2020 – Sep 2021 · 1 yr 3 mos

Senior Data Scientist

Nov 2016 – Aug 2019 · 2 yrs 9 mos · Bengaluru, Karnataka, India

Ab inbev

Senior Data Scientist

Aug 2019 – May 2020 · 9 mos · Bengaluru, Karnataka, India

Mu sigma inc.

3 roles

Senior Business Analyst

Promoted

Feb 2016 – Oct 2016 · 8 mos

1.Led a team of business analyst to design and develop behavioral segments based on customers visit pattern to different POIs for a Geo-marketing pioneer
2.Created micro segments for faster targeting of customers hence increasing the overall Click Through Rate (CTR) and store conversion rate
3. Designed a recommendation engine for targeting new parents with 'Next Best' baby products and associated items based on multiple factors like life stage of the baby, loyalty and brand preference and demographics
4. Deep dive into baby products - assortment, brand awareness and loyalty of private brands and optimal feature selection
5. Test and Control analysis to quantify the impact of a concentrated marketing campaign and providing recommendations to improve ROI

Business Analyst

Feb 2015 – Jan 2016 · 11 mos

1.Designed a marketing campaign for targeting new parents by providing business solution to:
a.Whom to Target:Built a Logistic Model based on the learning from previous year and implemented in 2015 for real time targeting
b.What to Target:Used clustering techniques to segment parents based on needs post having a baby and understanding the most suitable products for each segment
c.When to Target:Identify reasons why does a customer comes back again vs who fall out, to understand the period causing maximum stickiness
d.How to Target: Helped clients in selecting channels/mediums of customized targeting
Campaign Measurement:Isolated 'The Persuadable' using Uplift model to find the True Lift due to the campaign against a traditional Test-Control framework
2.Built a classification model to predict the life stage of the baby based on purchase behavior
3.Implemented a decision tree to find the Path to value of a customer
4.Identified the factors and KPIs which differentiate Performing vs Non Performing stores after adding grocery pickup
5.Used mixed models to find drivers of visits in a store and subsequently quantified the impact of a new app based campaign on footfall