Abhi Goswami

Abhi Goswami

Process Engineering Intern

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location of Abhi GoswamiMumbai, Maharashtra, India

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  • Timeline

  • About me

    Model Validation and Development, MountainView Risk & Analytics | ICICI Bank | SDA Bocconi School of Management | BITS, Pilani |

  • Education

    • Birla Institute of Technology and Science, Pilani

      2014 - 2018
      Bachelor of Engineering (B.E.) Manufacturing Engineering
    • SDA Bocconi

      2019 - 2021
      International Master in Business 96/110
  • Experience

    • UltraTech Cement

      May 2016 - Jul 2016
      Process Engineering Intern

      ▪ Improved raw mill fan efficiency by 6% ▪ Introduced a more effective pattern placement method to improve the efficiency of the blasting process during mining limestone ▪ Mapped the processes from raw material procurement to customer dispatch

    • Divgi-Warner Private Limited

      Jul 2017 - Dec 2017
      Lean Manufacturing Intern

      ▪ Constructed a Value Stream Map for a product family supplied to EPPL and calculated ratio of Value Adding time to Production time which came out to be 2.22% ▪ Calculated optimum number of gears to be manufactured in a shift supplied to EPPL which came out to be 12 ▪ Calculated cost per piece for manufacturing various gears ▪ Developed a 5S implementation methodology and implemented it in shop floor zones ▪ Performed root cause analysis to identify defects at workstations and combined multiple root causes using a fish bone diagram ▪ Reduced cycle time of milling operation by 25% by designing a milling fixture ▪ Reduced work in process inventory by standardizing the manufacturing process through 5S implementation Show less

    • McDonald's

      Sept 2019 - Sept 2019
      Marketing Intern

      ▪ Analyzed and Understood Consumer Insights ▪ Interacted with 150+ consumers for the brand ▪ Analyzed results from Trade Area Survey proposing potential new outlets

    • IDfy

      Dec 2019 - May 2020
      Intern - Vendor Management

      ▪ Analyzed current vendor management system and designed KPIs for calculating vendor performance▪ Devised steps to improve vendor selection and onboarding process▪ Designed dashboards for Amazon to improve visibility of their data▪ Designed an automatically updating workbook to segregate districts based of COVID-19 severity and gave targets to respective vendors accordingly▪ Constructed a framework to rank employees based on the requirement of their physical presence at work post lockdown Show less

    • The Thick Shake Factory

      Sept 2020 - Oct 2020
      Product and Competition Analysis Intern

      ▪ Conducted and analyzed primary research of 300+ customers▪ Analyzed customer preference and segments to come up with newproduct ideas and pricing strategies▪ Created a Brand Positioning Map for the company comparing withother major pizza brands▪ Analysis was done using Google Analytics, Tableau and Excel.

    • ICICI Bank

      Jul 2021 - Nov 2023
      Manager, Model Validation

      ▪ Performed end-to-end validation of Zero Credit Touch (ZCT) model to automate the credit card applications approval or rejection, reducing the manual intervention of Credit Manager by more than 50%.▪ Validated UPI-POS model using SAS Studio, Python, SQL, R programming language to identify final sub-segments of customers on the basis of multiple metrics like App Score, CIBIL Score, MC code, etc. ▪ Visualized key data showcasing insights from ZCT model constructing dashboards using Power BI and presented to the Validation forum.▪ Performed Decision Tree Analysis in R programming language to identify incremental applications that were identified as straight through processing cases or direct reject cases increasing automation.▪ Validated Jocata GST logistic regression model using Python to arrive at the composite risk rating of clients based on insights derived from GST data of businesses.▪ Extracted and combined composite risk rating, bad rates of customers split in buckets based on composite risk rating using SQL.▪ Gauged Jocata GST model performance by analyzing the segment wise count and amount bad rates (Probability of Default PD) to identify segments of customers who are eligible for unsecured loans.▪ Analyzed and validated ML score model to impute customer’s income based on the ML score provided by Amazon.▪ Monitored model performance for behavioral scorecard to identify customers eligible for loan satisfying behavioral score pass condition. Show less

    • MountainView Risk & Analytics, a SitusAMC Company

      Nov 2023 - now
      Assistant Manager, Model Risk Management
  • Licenses & Certifications