Abhinav Ahuja

Experience

• 

  I-next Web Technologies Pvt. Ltd.

  May 2014 - Aug 2014

  Web Developer

  • Developed various e-commerce and other SME websites.• Worked on various Content Management Systems, Wordpress, Joomla.• Worked on integrating APIs with Android platform.

• 

  Electric City

  Oct 2014 - Dec 2014

  Sales Manager

  • Managing Sales Representatives and Operations.• Communicating new initiatives to Architects and managing brand relationships.• Citywide market segmentation and executing strategies for brand promotion and leads.

• 

  Hindu Council UK

  Feb 2015 - Sept 2016

  • Managing all web related operations for the organisation and its 150 sister organisations• Managing Hosting Solutions• Managing Website Development: Hiring freelancers for Web Design and development, Content Curation and related operations. • Worked on various CMS’s.• Development and maintenance of web modules.

  • Program Manager

    Aug 2015 - Sept 2016

  • Senior Web Developer

    Feb 2015 - Jul 2015
• 

  Amazon

  Mar 2017 - now

  • Driver Attendance Prediction- Developed Random Forest model increasing accuracy by 16% for EU and NA regions.• Delivery Defects- Used logistic regression in order to identify locations/addresses prone to delivery defects (such as late delivery, delivery failure, etc).• Extensive stakeholder management comprising of daily calls, weekly docs presenting insights gathered from data using data visualization tools such as Tableau, Plotly.• Stop Sequence Planning- Developed a rule-based engine to prevent incorrect consolidation of stops in a route showing 10% improvement in the error metrics.• Age Verified Delivery- Built a risk rating mechanism for drivers in order to evaluate their adherence to certain rule-based deliveries. Achieved a raise of 19% in the compliance rate.• Route Intelligence Transit Time & Service Time:-Worked on feature engineering, insights and error metrics. -Worked on comparison of various models such as kNN, Random Forest and XG Boost. -Work comprised of hyper parameter tuning, feature visualizations to find correlations and a lot of other experimentation. -Made use of Scikit-learn, Pandas, Matplotlib, Seaborn.• Project Photo On Delivery (POD):- Developed a photo tagging tool for image recognition using AWS Lambda and AWS Sagemaker- Worked on ResNet CNN image recognition model to filter valid/invalid pictures. Made use of TenserFlow, Scikit-learn• Project Address Normalization:- Worked on a Natural Language Processing(NLP) model to split address lines into legible categories to extract important attributes.• Training and development of Data Support Engineers by conducting sessions and classes on Python and Machine Learning. Show less • Project: ZERO (Zone Efficiency Route Optimization):- Worked on automation and optimization of ZERO. - Writing various optimizer scripts in Python and R to scale up ZERO for entire geographies. - Made use of AWS Lambda, AWS S3 and AWS SQS to automate the entire process• Automated WBRs, MBRs and other operational efficiency metrics using Python.• Worked on hypothesis testing using statistical techniques, exploratory data analysis, pre-processing and preparation of data sets to support data scientists in the team.• Made use of Amazon RedShift, Hubble and Hoot to query Andes databases.• Route Length Distribution and Forecasting(RLDF) to generate various evaluation metrics. Show less

  • Business Intelligence Engineer 2

    Jul 2022 - now

  • Business Intelligence Engineer

    Jul 2020 - Jun 2022

  • Business Support Analyst - Last Mile Analytics and Data Sciences

    Jan 2018 - Jun 2020

  • Data Support Engineer - Last Mile Analytics and Data Sciences

    Mar 2017 - Dec 2017