Hello, my name is Amogh Singhal. I am interested in entrepreneurship and creating scalable applications with amazingly great UI/UX. I write in JavaScript, CSS, Python, and Ruby.
I also can speak to databases and make servers do stuff. I like working on scalability, performance, design, and great user experiences. I am driven to translate ideas into products.
Making models for the world's largest offshore drilling company that prevent hazards impacting Health, Safety and Environment of industrial sites using Visual Intelligence and Machine Learning Some examples are * Intrusion Detection * Machine Movement Detection * Digimeter Reading using Machine Vision * Velocity Detection etc. Environment:- PyTorch, Intel OpenVINO Awards and Honors: * Kudos Award - Jan : Mar 2022 * I am Exceptional - Apr : Jun 2022
Now called Bandhan Life ● Building ETL pipelines to utilize data from multiple sources using Microsoft SSIS. ● Built a logistic regression model for the marketing team to do prioritized remarketing. Resulting top 3 deciles gave 2.7x higher conversion (Sample Size: 9L leads, Target Split: 25.8%, F1-Score: 0.85, Accuracy: 0.85) ● Migrated the whole reporting framework from Microsoft Power BI to AWS QuickSight containing 20+ dashboards and 80+ reports. Trained and mentored my team to use the new platform. ● Developing reports and visualizations for supporting different teams using Power BI and end-to-end data management (IRDAI Master Dashboard and Products Master Dashboard). ● Automating different phases of policy issuance by building tools and services in AWS e.g. Dedup (Customer Deduplication), Experian Score (Financial Waiver), QuestQuery (Insurance Information Bureau). ● Designing reporting framework for analytics and KPI reporting of the in-house customer service Progressive Web Application (PWA) Environment: AWS Stack, Python, Microsoft SSIS, Power BI, Microsoft SQL Server, AWS QuickSight.
Acquired by CRED ● Worked on an end-to-end anomaly detection framework that presents insights and trends for our existing data lakes along with automated BI reports management. ● Worked on a data aggregation framework that aggregates the data with consistent schema for the data science team to consume. ● Developed an address matching model that determines whether two given addresses are similar or not. ● Designed a meta-source program that generates source code of feature tagging scripts for other developers to work on. ● Worked on scaling the above projects to improve performance and handle humongous volumes of data. Environment: Scala, Apache Spark, Python, Java, Ubuntu Awards to the team: -2019 Best AI Startup Award from India FinTech Forum -2018 Gartner's Cool Vendors in AI for Fintech in Asia/Pacific -2017 Amazon India AI Conclave Award in FinTech category We are dealing with ~10TB data per month and serving 1 Lakh+ API requests per day fulfilling the credit underwriting in Personal Loan, Consumer Durables and Virtual Credit Cards.
● Helped migrate the existing codebase to reduce the debugging time for developers of AdFlow. ● Created internal wikis for easier knowledge transfer. ● Mentored interns to help them ramp up with the product workflow and setup their machines. ● Assisted the QA team to setup Automation Suite for reducing workload of manual testers. Projects worked on: AdFlow and ReportGarden Technologies used: Javascript and Ruby Frameworks used: ReactJS, Redux, Rails, Capybara and Selenium
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Close ProjectLorem ipsum dolor sit amet, consectetur adipisicing elit. Mollitia neque assumenda ipsam nihil, molestias magnam, recusandae quos quis inventore quisquam velit asperiores, vitae? Reprehenderit soluta, eos quod consequuntur itaque. Nam.
Close ProjectLorem ipsum dolor sit amet, consectetur adipisicing elit. Mollitia neque assumenda ipsam nihil, molestias magnam, recusandae quos quis inventore quisquam velit asperiores, vitae? Reprehenderit soluta, eos quod consequuntur itaque. Nam.
Close ProjectLorem ipsum dolor sit amet, consectetur adipisicing elit. Mollitia neque assumenda ipsam nihil, molestias magnam, recusandae quos quis inventore quisquam velit asperiores, vitae? Reprehenderit soluta, eos quod consequuntur itaque. Nam.
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