Vanisha Pandeer

Data Scientist

Delhi, India6 yrs 9 mos experience

Most Likely To SwitchAI ML Practitioner

Key Highlights

Successfully bootstrapped a D2C clothing brand.
Developed AI solutions for video content scaling.
Achieved 4x revenue growth through data-driven strategies.

Stackforce AI infers this person is a Data Scientist with expertise in AI solutions and business analytics in the logistics and fashion industries.

Contact

Skills

Core Skills

AnalyticsData AnalysisBusiness StrategyNew Business DevelopmentBusiness Analytics

Other Skills

Problem SolvingAnalytical SkillsSQLAIVideo ContentMarket ResearchE-CommerceOperationsSocial MediaPandasPythonP&L Management

Experience

Whilter.ai

Data Scientist

Feb 2023 – Present · 3 yrs 1 mo · Gurugram, Haryana, India · On-site

Building AI solutions to scale customised Video Content.

Problem SolvingAnalytical SkillsAnalyticsSQLData Analysis

Ananaas.in

Building your neighbourhood store for sustainable fashion

Jun 2021 – Jan 2023 · 1 yr 7 mos · Delhi, India

Bootstrapped a D2C wholesome unisex clothing brand ananaas.in from ground up.
Consistently improved gross revenues season over season. Reached monthly revenue of ₹3L+ in Q3 '22.
Built structure, strategy and analysis frameworks for Product, E-Commerce, Operations, Fulfilment and Social Media. Pivoted and optimised for automation, scale & revenue.

Problem SolvingBusiness StrategyMarket ResearchNew Business Development

Shadowfax

2 roles

Senior Business Analyst

Promoted

Dec 2020 – Aug 2021 · 8 mos · Bengaluru, Karnataka, India

Shaped performance tracking infrastructure on Periscope for SF riders, cities and clusters using SQL, Pandas and pyhton. Infrastructure Implemented throughout SF Hyperlocal.
Played key role in 4x revenue growth by ensuring fulfilment of rider supply in peak season and timings, with data-driven campaigns and milestone incentives.
Supervised P&L data of 2cr+ pm to derive insights, KPIs and monthly performance targets.

AnalyticsBusiness AnalyticsSQL

Business Analyst

May 2019 – Dec 2020 · 1 yr 7 mos · Bengaluru, Karnataka, India

Analysed, tinkered and tested rider payouts & incentive structures to achieve better margins. Structures implemented across SF.
Re-engineered and redistributed payouts in ROI regions from single structure to 4 dynamic structures based on expected earnings & rider strike rates to ensure stability in rider earning.

AnalyticsBusiness Analytics