Kartik Garg

Experience

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  EXL

  May 2019 - Apr 2021

  ● Predictive Modelling: ---> Independently developed a classification model in Python, on highly imbalanced data for predicting errors in mannual billing done---> Scheduled the pipeline for daily scoring of data; no manual intervention required.---> Monitored model’s performance on regular basis to update error weights.[ Impact ] : Saved a million dollar per annum and lifted client’s billing accuracy from 91.2% to 98.5%.[ Tools ] : SQL, Python, Machine Learning, scikit learn, Random Forest..● Ad - hoc | Monthly level analysis and dashboards: ---> Explored client database tables and designed complex SQL queries to generate views.---> Performed ETL on large volumes of data from multiple tables via Netezza SQL and python and performed extensive data mining to generate insights based on day to day business requirements.---> Created multiple C suite level Descriptive and Predictive Analysis based dashboards/ reports in Python and Excel, to generate new insights and represent efficiency, impact and revenue generated of models, tools or process on whole.[ Tools ] : SQL, Python, Advance Excel, matplotlib, seaborn, sklearn, .● Handwritten Recognition - Checkbox Detection:---> Developed E2E real time product for identification of handwritten text (HTR) & checkbox to capture specific fields on images.---> Standalone portable .exe file with an interactive frontend; kept on server to process images with execution speed of 0.25 sec/image and cutoff accuracy: 94.5%.[ Impact ] : C suite level visibility & projected revenue of over million dollar per annum.[ Tools ] : Advanced Python, VBA, Open cv, Machine Learning and Deep learning Show less

  • Business Analyst

    Jan 2021 - Apr 2021

  • Data Analyst

    May 2019 - Jan 2021
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  Udacity

  Jan 2020 - now

  Data Analytics Mentor

  ● Knowledge Mentor and Reviewer:---> Mentor students in Data Analyst Nanodegree via online E-learning platform on Udacity. ---> Resolving ad-hoc technical queries related to the course and Data analysis on whole; reviewing students’ capstone projects.---> Community member of experienced individuals in various IT domains.----> Consistently Top performing (Elite) Mentor for past 1 year.

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  American Express

  Apr 2021 - now

  ● Machine Learning Based hierarchy classification Capability:---> Created an automated ML based predictive model in python, aimed to enable accurate hierarchy mapping of client identifiers in analytical environment.---> Monitored model’s performance & performed in-depth EDA of data along with test & learn with use-cases in Python, Hive and Excel to identify gaps and incorporate the same in the capability.---> Took ownership of planning & then leading the enhancement of capability by leveraging strong understanding of machine learning, business, data (its complexities) & organization’s platforms.---> Led a team of 2 & established strong collaboration with stakeholders by actively supporting & engaging with them, demonstrating good managerial & communication skills.---> Identified automation opportunities for manual hierarchy remediation process & helped in designing roadmap to achieve the same.---> Hosted sessions with team & stakeholders to provide coaching related to capability. [ Impact ]: Uplifted existing Client hierarchy mapping accuracy by 23%+ & to act as 1 stop solution for hierarchies of Client Identification for all corporate and reduced OREs, security risks etc. Show less

  • Manager - Product Management

    Mar 2024 - now

  • Senior Associate - Product Management | Assistant manager

    Sept 2022 - Jun 2024

  • Analyst - Risk Management

    Apr 2021 - Sept 2022