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Mansi Bhatt

Mansi Bhatt

San Jose, CA, USA

Looking for full-time roles in Analytics / Data Science

Sr. Analyst, Pricing Strategy & Decision Sciences at Santander Consumer USA

Open to Remote
Open to Relocation
Contact

Background

• Recommended pricing changes for Santander Consumer USA (leading to incremental annual profit of $90million), led marketing channels for Snapdeal (managed annual budget of $10million) and set‐up programmatic ads business for Times Internet (scaled revenue for programmatic ads from territory 10x times). • Synthesized and presented actionable insights and recommendations to executive leadership to influence decision -making.


Job experience

  • September 2021 - June 2023
    Sr. Analyst, Pricing Strategy & Decision Sciences
    Santander Consumer USA
    Dallas, TX, USA

    • Devised pricing and policy changes by identifying attributes that impact loan performance by pre -processing data, using
    classification models in SAS and multivariate analysis, to improve overall profitability by $12 million.
    • Expanded market share by identifying unserviced pockets and advocating policy changes to increase profit by $70 million.
    • Recommended pricing and validated impact for select exclusive partnerships, to enhance profitability by $5 million.
    • Optimized pricing in the face of multiple Interest Rate hikes and deteriorating loan performance by recommending targeted price hikes and estimating impact on volume using hypothesis testing and sensitivity analysis, to maintain overall profitability.
    • Conducted ad hoc analysis to explain impact of market conditions such as supply chain issues, car prices on loan performance.

  • June 2020 - December 2020
    Data Analytics & Statistics Intern
    Real Green Systems
    Walled Lake, 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

  • July 2017 - July 2017
    Programmatic Ads Specialist Manager
    Times Internet Ltd.
    Bengaluru, Karnataka, India

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

  • May 2015 - June 2017
    Deputy Manager, User Growth
    Snapdeal
    Gurugram, Haryana, India

    • Led a team of 2 to standardize processes for monthly payments, go‐to‐market strategies and onboarding partners, translated user
    pain‐points into new features and processes for the Affiliate Management System, scaling the channel from 120 to 250 partners.
    • Designed and implemented new pricing models and bidding strategies by modelling on Excel to improve efficiency metrics by 25%.
    • Generated hypotheses and experimented with Google Play Store listing by running A/B tests to increase App installs by 10%


Education

  • University of Michigan - Ann Arbor
    MS, Industrial Engineering & Operations Research
    2019 - 2021
    • Graduate Student Instructor for Risk Analysis (IOE 561) where I facilitated student learning through office hours and discussions.
    • Project‐managed a 4-member student team to improve the UX design of a course planner App by synthesizing user interviews.
    • Analyzed salary bias among faculty at University of Michigan using exploratory data analysis and regression, study was inconclusive.
    • Experimented with ML algorithms such as YOLO, unsupervised deep clustering, supervised clustering with triplet loss to extract
    features, classify vulnerable road users and asses them using t‐SNE plots and confusion matrices for an AV‐focused start‐up.
    • Designed agent‐based model of opinion dynamics to simulate social contagions transmitting through social networks. Analyzed
    co‐evolution of network topology and opinion, effect of varying network parameters and presence of strong/weak ties.
  • University of Mumbai
    MBA Finance
    2013 - 2015
  • University of Mumbai
    BE, Electronics & Telecommunications Engineering
    2008 - 2012