Keshav K L

Experience

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  Wealth-X

  Jun 2012 - Aug 2014

  Research Analyst

  Developed financial valuation models for Ultra High Net-Worth individuals based on 50+ parameters, aiding in strategic investment decisions. Estimated engagement risks through due diligence, enhancing client confidence and investment safety.Estimation of engagement risks through due-diligence of individuals based on financial, operational and personal factors.

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  Neo Group

  Sept 2014 - Dec 2015

  Research Analyst

  Sourcing risk analysis and insight development.Real-time risk review and alert triggering based on 150+ parameters for suppliers and locations.Risk Rating development based on a comprehensive list of categories, evaluating the operational, financial health, service maturity, governance level, leadership and client capabilities.

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  ProsperFleet by Valgen, Inc.

  Jan 2016 - Jun 2017

  Senior Analyst - Data Science

  Worked for a Salesforce ISV to build capabilities by directly integrating R within Salesforce. Two pronged approach was taken; To be able to communicate independently between R and Salesforce. To be able to dynamically interact via the cloud through deployment.Project was completed in 4 months with new statistical features already available through the app.We have achieved seamless integration of statistical tests and inferential algorithms into the Salesforce ecosystem via the app interface.Built models for Ad-Hoc customer services including RFM models, renewal models and indexing models in order to increase customer revenue.Tools used include: R Studio, Salesforce Developer org, dplyr, ggplot2, reshape, SQL and data.table. Show less

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  Honeywell

  Jul 2017 - now

  • Flight Risk: Spearheaded the development of Flight Risk, for employees, helping in proactive retention of high risk employees with reduction in attrition and more than US$ 2Million in cost savings.• Generative AI: Pioneered the integration of Generative AI in HR through Azure OpenAI, building a RAG model for HR to answer employee queries. The model was trained on HR policy and records data to answer user queries in an efficient manner, improving response times by 30% .• Succession Planning: Developed an Intelligent Succession Recommendation model using predictive analytics and NLP to match successors to roles based on skills, performance, and historical data, successfully improving internal jobs filled by succession from 15%, to more than 35% in key positions.• Architecture Design: Designed and developed architecture for deploying our models and showcasing them through dashboards in R and Shiny using a Virtual machine and R Studio-Connect.• Mentorship: Mentored several junior team members, contributing to their professional development and growth within the organization. Currently mentoring cross functional members for internal movements.• Team: Established a pioneering data science team that enhanced decision making in HR functions. Expanded the team from three analysts to ten data scientists and software developers, demonstrating innovation and strategic foresight. Show less • Statistical Analysis: Established a Statistical Analytics framework for analyzing effectiveness of talent development programs and retention programs with Hypothesis Tests and regression analysis.• Text Analytics: Worked on several NLP projects providing insights from text sourced from surveys and other sources. Worked on LDA and TF-IDF analysis to get relevance of words from years of survey data. • Forecasting: Demonstrated my ability to build forecasting models for Workforce Planning, Turnover Forecasting and Requisition Forecasting by utilizing internal data and external economic data like inflation, FED rate, Unemployment, GDP Growth etc.. Show less

  • Data Science Manager - Human Resources

    Oct 2019 - now

  • Predictive Analytics Analyst

    Jul 2017 - Oct 2019