Jan 2023 – Jun 2023 · 5 mos

• Fast-tracked to Associate Manager owing to high performance. Led the project and managed the technical and non-technical aspects of 11 member team for all threads.
• Performed data migration from Ms-SQL to PostgreSQL using AWS DMS and Babelfish leading to savings of $1000 on AWS per month.
• Last-mile delivery by optimization of algorithms using the exponential smoothening technique to impart recency bias, domain research, and feature engineering.
• Facilitated in usage and adoption of the ML tool deployed earlier by the team.
• Currently working on cloud platform migration from AWS to GCP

Jan 2021 – Jan 2023 · 2 yrs

• Cement Quality (Industrials)
• Created and deployed a cement strength prediction tool on AWS using a dynamic algorithm selection approach for machine learning.
• Implemented this dynamic model selection approach using various algorithms (RF, SVR, KNR, gradient boost, and MLP) and a weighted score based on MAE/SD, trending accuracy, and threshold accuracy.
• Deployed models across more than 50 locations across globe in just 1 year
• Optimization (Supply Chains) (savings - $10k per month)
• Forecasting the number of loads going out using FB Prophet through different carrier modes (Truckloads, Less than truckloads, Parcels, etc.)

Jul 2019 – Jan 2021 · 1 yr 6 mos

• Optimization (Supply Chains) (savings~$600K in 8 months)
• Tool for looking into the best possible option for load consolidation and best carrier mode in retrospection
• It also analyzed loads that went out from the misaligned distribution center and deduced the reason for the misalignment
• Supply Chains
• Client - Global provider of health and hygiene products and chemical precursors.
• Freight Forecast - Forecasting the number of loads going out on different carrier modes (Truckloads, Less than truckloads, Parcels, etc.)
• Carrier Allocation tool - Tool to select the best type of truckload carrier for a load
• Customer Analytics
• Client - one of the US' largest online grocery retailers
• Established the effectiveness and suggested ways of increasing the efficiency of promotional coupons.

May 2018 – Jul 2018 · 2 mos · Noida Area, India

• Led a team responsible for the modernization of customer acquisition at PPS Water Engineers, Noida.
• Accountable for upgradation of customer acquisition processes and platforms.
• Designed and built an improved website with WordPress and set up a digital marketing framework from scratch.
• Created a new customer support system.
• Enhanced price quotations, brochures and product presentation on various platforms.
• ACHIEVEMENTS - generated leads in the latter part of the last month and converted three leads making a profit of worth around ₹ 15,00,000.

May 2017 – Jul 2017 · 2 mos · Ahmedabad Area, India

• Assisted Prof. Aruna Divya T. ; explored the relation between 'Usage Frequency and Product Valuation'.
• Reviewed literature, summarized the analysis of different research papers.
• Derived all the inferences for the review of the literature titled "Usage Frequency and Product Evaluation".
• Mastered and applied theories such as Prospect Theory, Dual Process Theory and Endowment Effect in Consumer Psychology.
• ACHIEVEMENTS - only second-year student getting paid internship in IIMA, was offered a co-authorship in the project

Aug 2015 – Jul 2016 · 11 mos · Varanasi Area, India

• Became part of a start-up called 'Plantley'; entrusted with handling the marketing and logistics.
• Successfully developed marketing strategies exploring Inbound Marketing techniques to generate leads in Varanasi.
• Designed and curated most online and offline contents including the company's logo, website UI/UX, content for traditional as well as digital marketing.
• Responsible for setting up logistics and analytics for the company's operations. Conducted surveys and collected feedbacks for the formulation of strategies.
• ACHIEVEMENTS - Generated about 2000 leads in 4 months and converted about one-fourth of the total leads.