Avnish Vishwakarma

Experience

• 

  Capgemini

  Jul 2016 - Oct 2018

  Worked for a US based MNC which is a provider of equipment and services for data-centers.My role comprised of the following responsibilities:1. Created an end to end pipeline for automating the ELT (Extract, Load and Transform) operationof data from flat files into the Hadoop ecosystem using Shell Scripting and SQL (ClouderaImpala).2. Created reports and dashboards in Power BI for C-Suite level on Desktop as well as mobileplatform on top of views and tables in Hadoop ecosystem.3. Created reports and dashboards in Power BI for Finance team with custom functionality on topof views and tables in Hadoop ecosystem. Show less

  • Senior Software Engineer

    Jul 2017 - Oct 2018

  • Software Engineer

    Jul 2016 - Jun 2017
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  GreyAtom

  Jul 2018 - Jan 2019

  Student (Data Science / Machine Learning)

  As a Data Science Immersive student at GreyAtom, I've studied the methodological and mathematical foundations of data science and machine learning, as well as practical, hands-on skills. Classwork ranged from in-class projects and Kaggle competitions, to personal projects focused on real-world applications of data science principles and best practices. • Learned Python libraries sklearn, numpy, pandas, seaborn, matplotlib, nltk, etc. • Developed expertise in predictive modeling, supervised and unsupervised machine learning, natural language processing, data visualization and web scraping.• Build projects on real data sets• Participated in hackathons Show less

• 

  Fountain9 (YC W21) (Acquired by Rappi)

  Feb 2019 - May 2024

  Leadership and Collaboration - Assumed the role of a technical mentor, fostering high levels of productivity among team members. - Worked very closely with the CTO, customer success team and customer-side POCs - Collaborated across teams for product deliverablesTechnology - Led research and improvement for primarily three areas: Time series forecasting algorithm, Post-Processing of raw model forecasts and large-scale data processing. - Led time series model tuning process for several clients. - Developed and implemented techniques to scale the time series algorithm for memory and time efficiency. - Optimized data ingestion, processing and export pipelines to handle large scale data. - Guided in setting up inventory planning for clients. Show less Time Series Forecasting - Enhanced the time series forecasting algorithm by incorporating tree-based forecasting methods. - Implemented support for external signals, such as price, out of stock flag, holiday, and weather data, to improve the accuracy of the forecasts.Forecast Post Processing - Built an algorithm for post processing of raw forecasts to improve forecast stability and accuracy. - Added support for forecasting new products. - Built a module to quantity the impact of holidays, events and promotions on forecasts using historical demand data.Successfully deployed this algorithm for over 25+ customers spanning diverse domains, including retail, e-commerce, D2C/CPG, restaurant chains, beauty & cosmetics, and pharmaceuticals. Show less

  • Principal Machine Learning Engineer | Founding Team

    Mar 2022 - May 2024

  • Senior Machine Learning Engineer | Founding Team

    Apr 2021 - Mar 2022

  • Machine Learning Engineer | Founding Team

    Feb 2019 - Mar 2021
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  Rappi

  Jun 2024 - now

  Lead Machine Learning Engineering