Experience

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  Ing vysya bank

  Mar 2012 - May 2012

  Retail finance-intern

   Operational Audit for Quarter Q3(2011-2012) Revenue gain and Margin Improvement techniques for quarter Q1(2012-2013) Risk Management Model for potential regions. Financial Analysis of 3 branches of ING Vysya Bank. ING VYSYA Vs Private sector Banks(presence) for Shareholder relations.

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  Inmobi

  Aug 2013 - Nov 2014

  Associate ad operations

  1. Played a key role as Associate Ad Operations within the newly established GBO (Global business operations) team set up as business development project to assist in capturing opportunities across two practice verticals: MS and SS.2. Instrumental in sourcing of new business as a result of maintaining healthy customer relationship.3. Personally responsible for driving revenue growth across these verticals by collaborating with clients on the provision of consulting and training services according to their needs utilizing a range of problem solving, project execution and business process improvement applications.4. Efficiently initiated transfer earnings feature including all relevant information highlighting associated risks.5. Involved in the analysis of audited/in-house financials of prospective/existing clients.6. Prepared budget optimization structure keeping in view the requirement of the client and their credit worthiness. 7. Preparing and delivering successful pitches to Marketplace Manager, Senior and middle level management projects.8. Successfully managed the process of conducting renewals of facilities of the existing clients.9. Planning and executing innovative pricing models (CPC, CPM, CPA, CPL, CPI and CPD) to increase the conversions for the clients of EMEA and LATAM)10. Developing positive relationships with potential clients, establishing a feasible rev share model and developing solutions based on increased ECPM.11. Fraud Detection using Subletting, Fraud Dashboard & fraud crawler. Show less

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  Aviation services management

  Jul 2015 - Jan 2018

  Fuel support executive

   Clearing Statements of Accounts (SOA’s) of premium Suppliers (Padma / Kobil/UFC Statements). Clearing Supplier Receipts (Delivery Tickets) in ERP (Microsoft Dynamics AX). Financial Analysis of pricing Models(Prior Day, Prior week, Prior Fortnight, Prior Month) Creating Customer Agreements (CA’s) - Working on Taxes, Differential & Margins to give better rate to clients.  Exposures of Permits and CAA Fees. Analyzing and interpreting Handling Quotes. Clearing Ad hoc Ops files in Microsoft Dynamics AX. Analyzing & Evaluating contracts – Supplier & Client Perspective Analyzing Fuel prices at NOTAM Locations (Africa-Nigeria). Ad-hoc Spot Sales & Fuel Quotes. Preparing Supplier & Reseller price reports (non contracted location) for Director. Analyzing Exposures for Prepay Suppliers. Preparing Department Performance report for Manager & Director Evaluation. Submitting Clearance report for Manager. Show less

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  Sqrfactor india pvt ltd

  Jul 2018 - Dec 2019

  Senior business analyst

   Successfully created patterns using R and Machine learning algorithms(Regression,Clustering & Association Rules) to increase the Revenue of Competitions.  Building Forecasting models for an Architectural Competition. Developed a new pricing strategy for SqrFactor Architectural competitions which increased the margins of competitions from 2% to 8%  Preparing Business Analysis Reports to drive the growth of Demand side. Analyse large data-sets of previous competitions to provide strategic direction to the company.  Analyzing online behavior of Architects on SqrFactor's social media platform to understand trends and unmet needs.  Conduct cost benefit analysis on any new competition. Develop statistical models to forecast the Revenues & Profits for the Organization.  Was an active part of preparing & delivering Investor Pitches to both Angel Investors & Venture Capitalists. Show less

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  Landmark group

  Nov 2020 - Feb 2023

   Markdown Solution: Implemented an Effective Markdown Strategy for the concept Babyshop across all its major territories like UAE, KSA, Kuwait, Oman, Qatar & Bahrain. Recommending the best price point for all products in store by taking into account its performance, lifespan, current price and Elasticity. Consolidation Solution: Recommending transfer units from a low performing store to high performing store. Attributes considered by the algorithm for store transfer is warehouse stock, weeks traded, lifespan and future sales forecast.  Creating an Impact Dashboard and understanding the Financial Impact and compliance of both Markdown & Consolidation Solution. Preparing Business Analysis Reports for Quarterly CEO Update. Conducted trainings for multiple fresher batches in SAS, ISP Solutions and In-house apps.  Derived actionable Insights from Pre-Post pricing analysis which helped the management understand that deeper markdown was effective.  Developed a statistical model to identify Poor Sellers and repriced these products based on its elasticity. Implemented new solutions like Key lines consolidation and Broken item Consolidation in the areas of stock consolidation. Provided an instrumental role in developing state of art In-house pricing App- Pricescope. Computing Projected Quantity accuracy using MAPE, MAE, RMSE and MSE.  Developed an innovative solution called Buying Reference Book which helps the planners predict the correct depth of a product. Show less

  • Business Analytics Manager

    Oct 2022 - Feb 2023

  • Assistant Manager, Business Analytics

    Nov 2020 - Oct 2022
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  Tredence inc.

  Feb 2023 - now

  Data science manager

   Implemented Pricing Engine for a Fortune 500 Retailer. This includes competitor product mapping using inhouse tool. Building Elasticity and Price Gap models which effectively identifies price sensitivity of region/customer. Identified Post Promotion Effectiveness by capturing Truenet. Led the development and deployment of a multi-agent NLQ2SQL model for a Fortune 500 retail client, hosted on GCP App Engine. Successfully designed and deployed a voice-over chatbot with GCP's voice recognition API, enabling English and Hindi conversations, hosted on Google Cloud Run. Reduced MAPE from 52% to 37% for holiday season items through markdown optimization for a Fortune 500 retailer. Played a key role in the Retail Intelligence initiative by developing ML models to predict trips, customer spend, and propensity, contributing to Customer Lifetime Value (CLTV) calculations. Built a simulation model using agent-based modeling with the Mesa library, enabling a Fortune 500 retailer to replicate and analyze store and distribution center operations. Developed a causal model using the DoWhy algorithm to predict Gross Merchandise Value (GMV) and customer retention, leading to the creation of a new customer score metric. Guided a team in causal modeling efforts to evaluate the impact of new capabilities introduced in stores and supply chain networks for a major retailer. Manage multiple project tracks for a Fortune 500 retailer, overseeing all Gen AI and Data Science initiatives, including model building, fine-tuning, optimization, and accuracy improvements. Show less