Services
Video meeting . 15 mins
Priority DM . 2 days reply
Video meeting . 30 mins
Video meeting . 30 mins
Video meeting . 30 mins
Priority DM . 2 days reply
Priority DM . 2 days reply
Video meeting . 30 mins
Video meeting . 30 mins
Video meeting . 60 mins
About me
I am Shailendra, an entrepreneur with data science and strategy consulting experience of 9 years.
Driving business transformation via data-driven solutions, consulting strategies and problem solving.
I have delivered innovative solutions which ultimately benefit customers and businesses, and believe in solving complex problems in the simplistic way possible. I excel in competencies like data science, management consulting, developing business strategies, project management, operations, stakeholder management.
I founded 2 start-ups from ideation to revenue stage, with total of 4 years in entrepreneurship.
Key Projects:
1. Launched top categories in Sports for E-Commerce. Lead operations, product content creation and supply chain
2. Identified business transformation opportunities and won projects with a leading US firm. Lead client engagement to deliver business values
3. Build Analytics road map and led 10+ team members to implement ML models and data process improvement
4. Reduced delivery turnaround time from 5 weeks to 1 through process optimisation and innovative solutions which enhanced team efficiency and reduced human error
5. Optimised marketing cost by targeting customers with propensity to (1) buy a credit card, (2) repurchase a product, (3) Default
Products Management:
1. Built a Revenue and Sales analysis product and delivered actionable insights which reduced project cost by 60% and scalable across multiple industries
2. Non-Tech lead for building the E-commerce and SaaS platform which can optimise management and operations for sports organisations
3. Campaign Module to enable reseller/businesses to self-Launch and analyse the campaign performance
Core Competencies:
- Data Science and Consulting
- Leadership and Strategy
- Project Management and Product Management
- Customer Success and NPS promotion
- Stakeholder Management and Communication
Hands-on Technical Competencies:
1. ML Techniques: Python, VBA, XGBoost, Regression, Clustering, Decision tree, etc.
2. Visualisation tools: Tableau, Power BI