JAYANT NEHRA

Experience

• 

  Amdocs

  May 2014 - May 2015

  System Analyst
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  Prodapt

  Jun 2021 - Aug 2022

  Sr. Software Developer

  Client ~ Federos - An ORACLE Company Backend Microservice Developer that ensured clients' product Assure1 integrates successfully within customers' IT and Operation systems and processes. Bringing together fault, performance, topology and service level management on a single platform, including dashboards and visualization aspects. • Languages : GoLang, Python, Perl Tools/Platforms : Docker, Kubernetes, Jira, Bitbucket, Federos (ORACLE Subsidiary) Assure1, Linux Show less

• 

  FiftyFive Technologies

  Aug 2022 - now

  Lead Data Engineer

  • Client ~ Run Viable - Financial Analyst Chatbot ◦ Key Contributions: ◦ Developed advanced financial analyst chatbot for dynamic and human-like interactions, boosting user satisfaction. ◦ Equipped chatbot with real-time Financial Insights, Intelligent Response Categorization, Dynamic Follow Up Question Analysis, and more. ◦ Automated query categorization and administrator control for accurate responses. ◦ Enabled chatbot to handle diverse financial queries with tailored response guidelines. ◦ Achievements: ◦ Enhanced User Satisfaction: Elevated user engagement and satisfaction through an interactive chatbot experience, leading to improved retention rates. ◦ Data-Driven Decision-Making: Provided Small Business owners with real-time access to financial insights, enabling informed and strategic decision-making. ◦ Streamlined User Interactions: Optimized user interactions by introducing dynamic follow-up questions, resulting in more accurate query resolutions. ◦ Technologies Used: ◦ Python, Google Cloud Databases, FastAPI ◦ Tools/Platforms: Heroku, Github, OpenAI API• Client ~ LoopKitchen - Automated Delivery Intelligence ◦ Key Contributions: ◦ Developed KPI, Order Accuracy, Store Availability, and Item Performance modules for Store Insights. ◦ Streamlined third-party aggregator onboarding with a user-friendly self-serve system. ◦ Implemented real-time alerts for lost sales and facilitated brand optimization through operational quality measurement and marketing experiments. ◦ Optimized customer success workflows for better store availability and effective cancellations. ◦ Technologies Used: ◦ Languages: BigQuery, SQL, Python ◦ Tools/Platforms: Google BigQuery, Looker Studio, Github, Linear, Excel Show less