Saurabh Deshpande

CEO

Bengaluru, Karnataka, India10 yrs 9 mos experience

Highly Stable

Key Highlights

Expert in machine learning and data analytics.
Proven track record in customer behavior analysis.
Strong collaboration with cross-functional teams.

Stackforce AI infers this person is a Data Analytics and Business Intelligence expert in Retail and Hospitality industries.

Contact

saurabhdeshpande1994@gmail.com LinkedIn

Skills

Core Skills

Business IntelligenceData AnalysisStakeholder ManagementCommunicationBusiness AnalyticsCustomer EngagementMachine Learning

Other Skills

Customer InsightData AnalyticsStatistical ModelingLoyalty ProgramsCRMBuilding TrustCross-team CollaborationDigital MarketingData StorytellingAttention to DetailTechnical RequirementsBusiness Intelligence ToolsNeural NetworksNatural Language Processing (NLP)Reinforcement Learning

About

As a Senior Business Intelligence Engineer at Amazon, I apply my expertise in machine learning and R/Python to analyze customer behavior and provide insights for improving user retention and satisfaction. I work with a cross-functional team of data scientists, product managers, and marketers to design, implement, and test data-driven solutions that enhance the customer experience and drive business growth. Before joining Amazon, I completed my Post Graduate Diploma in Machine Learning and Artificial Intelligence from the International Institute of Information Technology Bangalore, where I learned the latest techniques and tools for data science and analytics. I also have a Bachelor of Engineering in Electronics and Telecommunication from the University of Mumbai. I have a strong passion for solving complex problems using data and technology, and I am always eager to learn new skills and explore new domains.

Experience

10 yrs 9 mos

Total Experience

2 yrs 4 mos

Average Tenure

1 yr 4 mos

Current Experience

Airbnb

Advanced Analytics Lead

Jan 2025 – Present · 1 yr 5 mos

Google

Data Science Specialist

Apr 2024 – Dec 2024 · 8 mos

Amazon

2 roles

Senior Business Intelligence Engineer

Promoted

Jun 2022 – Apr 2024 · 1 yr 10 mos · Bengaluru, Karnataka, India

Customer InsightData AnalyticsBusiness IntelligenceData Analysis

Business Intelligence Engineer, Customer Behaviour Analytics

Jan 2020 – Jun 2022 · 2 yrs 5 mos · Bengaluru, Karnataka, India

CommunicationStakeholder Management

Quantiphi

Senior Business Analyst

Mar 2019 – Jan 2020 · 10 mos · Mumbai Metropolitan Region

- Built an automated statistical model for the operations team of Fortune 500 client for revamping bonus compensation structure of all 35 designations within the client organization.

Data AnalyticsCommunicationData AnalysisBusiness Analytics

Cartesian consulting

2 roles

Senior Business Analyst

Promoted

Apr 2017 – Feb 2019 · 1 yr 10 mos · Mumbai Metropolitan Region

Responsible for defining, developing and reporting key metrics and business trends to top management of clients.
Model data in order to create reports and dashboards for business process management,
Execute quantitative analysis that translates data into actionable insights.
Data driven decision making using statistical modeling techniques like Logistic regression models ,Random forest, decision tree etc.
Develop and drive key analytic and reporting projects relevant to the client business.
Campaign design, campaign management and execution for different events which are crucial for client
Industry: Retail
Market basket analysis to identify popular choices of category combination customer prefers.
Build and implemented the lapser winback model using logistic regression, random forest which has improved winback response rate significantly.
Management of customer Life cycle by designing,conceptualizing and implementing different CRM & customer engagement programs basis customer credentials.
Industry: Hospitality
Built an recommender engine which recommendes next best resorts for Each customer.
Used Machine learning techniques like Association,UBCF(User based collaborative Filtering) & IBCF(Item based collaborative Filtering)
Industry: Finance
For Leading mutual fund house,built propensity model for investors who are likely to invest in the 13 Funds for next 2 months.
For Leading mutual fund house,built propensity model for the distributors who are likely to have the highest overall sales for next 2 months.