Jul 2024 – Aug 2024 · 1 mo · Bengaluru, Karnataka, India

Apr 2023 – Jun 2024 · 1 yr 2 mos · Bengaluru, Karnataka, India

• Credit Risk:- Underwriting Meesho suppliers on Bureau and Meesho internal data, limit assignment and credit portfolio management.
• Setting up risk trackers for tracking possible delinquent sellers, DPD and NPAs.
• RCAs on DPD and NPAs and inculcate the learnings to tweak the underwriting logic for future whitelisting.
• Setting up smart dashboards to track funnel movement, TATs for funnel stages.

Nov 2022 – Apr 2023 · 5 mos · Bengaluru, Karnataka, India

Jul 2022 – Nov 2022 · 4 mos · Bengaluru, Karnataka, India

• Highlighted listings causing high returns and reverse pickups, but less contribution towards ordered GMV and took actions to push them down the search algorithm to reduce losses, leading to savings of INR 1.25 Cr.
• Analysed churned buyers on their previous orders and returns history and possible reasons for churn. Did analysis on increasing credit on potential good churned buyers and pricing policies.
• Designed and implemented a dashboard using SQL queries and Google Data Studio to visualise orders placed, invoiced GMV, order return rate and udaan hit across categories.
• Redesigned the returns creation process to detailed level-wise returns reasons to identify returns policies and process gaps, alongwith increasing visibility for reverse pickup agents

Jan 2022 – May 2022 · 4 mos · Gurugram, Haryana, India

• Researching and developing technical articles and content in the field of Python, Google Sheets and related softwares

Jul 2021 – Dec 2021 · 5 mos · Bengaluru, Karnataka, India

• 1) Predictive analysis of possible breaches in future trips by creating a Machine Learning model on historic data
• 2) Configuration of GPS Milestones based on alert density using Clustering algorithms
• 3) Creation of a heat map visualisation for the Milestones configured based on average speeds of vehicles

May 2019 – Jul 2019 · 2 mos · Jaipur, Rajasthan, India

• 1) Suggesting improvements in outcome parameters in CNC machines - Machine Building
• Monitor the output parameters displayed by the CNC machines.
• Suggesting the improvements that can be made
• Changes which help in manufacture of more precise and accurate bearings.
• My suggestion of considering Servo Load and Load current was accepted by the industry
• Skills used : IoT knowledge
• 2) Job Falling in Automation to reduce losses and suggest changes - Machine Building
• The objective was to to note down the input frequency of the feeder compared to the output of the
• Grinding Machine.
• Set up the proper frequency of the hopper to get desired amount of output in desired time
• Generated a detailed list of the condition of machines, if they were OK to use or NOT OK for use.
• Tools used : Company formulations

Aug 2018 – Dec 2018 · 4 mos