Mansi Bhatt

Berufserfahrung von Mansi Bhatt

• 1 Jahr und 10 Monate, Sep. 2019 - Juni 2021

  Sr. Analyst, Pricing Strategy & Decision Sciences

  Santander Consumer

  • Devised pricing and policy changes by identifying attributes that impact loan performance by pre -processing data, using classification models in SAS, to improve overall profitability by $12 million. • Expanded market share by identifying unserviced pockets and advocating policy changes to increase profit by $70 million. • Optimized pricing by recommending targeted price hikes and estimating impact on volume using hypothesis testing and sensitivity analysis, to maintain overall profitability.

• 6 Monate, Juli 2020 - Dez. 2020

  Data Analytics & Statistics Intern

  Real Green Systems, MI, USA

  • Developed a proof‐of‐concept in Python to automate vehicle routing module of a lawn management product for a sample dataset of up to 100 points using clustering and optimization models in Python. • Recommended scalable heuristic algorithms and potential user journey by conducting literature review and stakeholder interviews.

• 2 Jahre und 1 Monat, Juli 2017 - Juli 2019

  Programmatic Ads Specialist Manager

  Times Internet Ltd., India

  • Optimized ad yield for product by standardizing innovative ad formats, leading to an incremental revenue of $120k annually. • Devised the market strategy by influencing media buyers, establishing TIL Programmatic Ads in domestic & international markets, increasing annual programmatic revenue from $10k to $1 million. • Enabled sales team to promote programmatic ads by leading training sessions for 30+ sales personnel on a quarterly basis, growing programmatic sales pipeline from 2 to 50+ recurring clients

• 2 Jahre und 3 Monate, Mai 2015 - Juli 2017

  Deputy Manager, Digital Marketing & User Growth

  Snapdeal

  Led a team of 2 to standardize processes, translated user pain‐points into new features for the Affiliate Management System, scaling channel from 120 to 250 partners. • Engineered new pricing models and campaign optimization strategies by modelling on Excel to improve efficiency metrics by 25%, influenced budget-allocation decisions based on effectiveness of marketing channels. • Generated hypotheses and experimented with Play Store listing by running A/B tests to increase App installs by 10%.