Sushant Kumar

Experience

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  Projects & Development India Ltd.

  Nov 2010 - May 2012

  Process Design Engineer

  • Performed detailed engineering and analytics using advanced excel to combine the process parameters of $4.6 billion GNFC project. • Led process design team for simulation of equipment’s using simulation software ASPEN HYSIS and HTRI.

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  Oil & Natural Gas Corporation Limited (Ongc)

  May 2012 - Jul 2021

  Key Responsibilities:• Managed end to end operations, supply chain of large-scale production plant generating a revenue of $30 m/yr. • Performed production optimization based on 10 process constraints resulting in 20% growth in production in 2020-2021 and additional revenue of $2.19 million/year. • Incorporated process modification to attain zero flaring of natural gas, saved 1 million SCF/day and generated additional revenue gain of $ 105,850/year. • Led the cross functional team in Jan, 2020 for installation of surface facilities to start production from 7 newly drilled wells within 17 days against the target of 21 days. Resulted in production gain by 150 barrels/day. • Supervised a team of 100+ workers and developed artifacts and dashboards for executive reporting on projects. Show less • Performed inventory forecasting for spares and consumable items in ERP-led to 98% reduction of wastage. • Built mathematical models for demand planning and forecasting to prevent stockout and wastage- resulted in 100% reduction in stockout in 2015, 2016. • Carried out detailed root cause analysis for minor incidents using advanced excel (Pivot Table, VLOOKUP, HLOOKUP) for bimonthly safety meeting- reduced the near miss from 100 in 2014 to 12 in year 2015. • Carried out safety audits for HAZOP study and Hazard analysis, certification for ISO 9001- Quality Management System, ISO 14001- Environment Management System, ISO-18001- OHSAS ( Occupational Health and safety at work place. Show less

  • Program Manager, Business Operations & Process Optimization

    May 2016 - Jul 2021

  • Supply Chain Analytics and Safety lead

    May 2012 - Apr 2016
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  Texas A&M University

  Sept 2021 - Jun 2022

  • Build detailed Process Maps (Swimlane diagrams) using MS Visio for process traceability and visibility. It created the roadmap for process improvement, automation and optimization. The report was accepted by the CEO and CTO of the company with great vigor and success. • Led the cross functional team for automation of the Cash Management Company, Loomis: Created automated solutions using IoT (RFID and robotics) for cash handling, sorting of packets for inbound, outbound cash movement.• Devised strategy for conceptualization, development and delivery of two products to Loomis- RFID and Robotics. Show less

  • Graduate Research Assistant - Process Mapping and Optimization lead, Loomis, Houston

    Jan 2022 - Jun 2022

  • Graduate Teaching Assistant

    Sept 2021 - Jan 2022
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  Capgemini

  May 2022 - May 2022

  Product Manager

  • Awarded 2nd prize in the case study competition in the Capgemini RISE programme, Dallas, Texas.• Built complete solution for the Food Delivery App- Model for increased revenue, Increased customer market share, Launch Plan and Technical Architecture, Prototype.

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  INFO Department - Mays Business School

  Jun 2022 - Jan 2023

  Graduate Research Assistant, Business Analyst- Role of Machine Learning in Optimal Bidding

  • Working on Mays Business School project- Using ML on the ad campaign data for optimal bidding of the keywords. • Developing an optimization model to optimize the click through rate and % Conversion rate for the given cost per click. . • Performed Clustering of the data into 4 optimal clusters using Kmeans, and Principal Component Analysis for feature reduction. • OLS regression using interaction between time effect (week_numbers) and cluster-id. • Performed time series forecasting on CTR (2021 data) using ARMA, ARIMA and SARIMA model to predict the CTR values for 2022. SARIMA produced minimum RMSE of 0.0175 after tuning of hyper parameters. • Visualization of the results using Matplotlib, SNS seaborn and Tableau dashboards. • Time Series analysis, Fixed Time effects, Panel Data, Statistical Analysis and Inference. Show less

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  Texas A&M Transportation Institute

  Apr 2023 - now

  Graduate Research Assistant

  Working as Research Data Scientist in the Data Analytics and Visualization division of Urban Mobility Analysis Team.