Nishant Soni

Key Contributor to development & management of projects aimed at collecting Amazon Client Data from various sources which holds 50% part of our core product from scratch, which was also the foundation for the company.

• Built Python client applications to integrate Amazon Advertising API, Selling Partner API’s, scalable to execute jobs 24
• 7 with a data model designed to derive other applications
• Lead Database Team to define roadmap for CDC, Database Scaling Horizontally, Implementation of DWH concepts, and other ETL processes
• Microservices (service-oriented architecture)
• Translated customer requirements into workable features and collaborated with other development teams to scope, design, and launch new features
• Managed projects through lifecycle, including defining products and roadmaps and working closely with engineering teams
• Optimizing applications & operations management
• Informed product roadmap by incorporating information from market research, consumer trends, and customer specifications
• Database Modeling- redesigning the DB structure based DWH concepts and building data model driven applications for faster data retrieval
• Client Data management and looking into security factors and mitigating those using data security policies
• Resource Allocation and Price Calculations
• Keywords: docker, k8s, PostgreSQL, PM2, linux/posix, stored procedures, distributed databases management, metabase, flask, wsgi.
• Developed and maintained courteous and effective working relationships.

Key contributor to setting up various initial projects that laid the foundation of the final product for data analysis & generating insights to data using public, private data repositories of clients. Which helps clients in taking marketing decisions related to good & bad campaign’s , wasted budgets, optimizations, alerts etc

• Ecommerce Database Architecture Design & implementation
• (PostgreSQL, Stored Procedures)
• Coordinating with UI/ UX teams to convert data insights into product features like Marketing Share etc
• Automation Systems for Proprietary data dashboards like AMS
• O Automatic Bid Updation.
• O Rule Execution
• Application Development & process improvements & operations management
• O Data Security, Log collection, Log Analysis, Data QA, Systems management
• API Endpoints Development using (Flask, Python, and PostgreSQL)
• Technologies & Tools: RabbitMQ (Message Broker, Exchanges), Linux servers, Project Monitoring (PM),
• PostgreSQL, Docker, Selenium, Requests Module)
• Keywords: RabbitMQ, Data Analysis, ETL, Selenium, E2E, Linux, Apache, RDBMS, GraphQL.

Helping professor manage, create course resources & help with course delivery, student queries handling.

Idea: An initiative started to help people in trouble due to job losses due to COVID-19 or layoffs going on in India.

• This platform intends to collect open positions from employers and data from companies laying off their employees and employees directly
• Once a match is found we connect the employee to the employer, or the employer can contact the jobseeker directly or through his ex-employer to cut-off job search time for jobseekers.

Key contributor for taking action to build Automated Bid Updation product for clients, Understanding Client requirements, Data & report requirements and converting them to product features in collaboration with engineering, management , client delivery teams.

• Specified requirements and supported software implementation, test case development, verification test execution
• Development of E-commerce Software (SaaS) using Web Automation Technologies like Selenium, Appium
• Building Web Crawlers, Data Scrapers
• Software and Tools: Visual Studio Code, PyCharm, AWS Services S3, SNS, SQS, Docker containers, Kubernetes
• Played a key contributor for the development of “Automated Bid Updating System “based on data analyzed over a period of 30 days
• Saw an ACOS reduction up to 30%.

Contributed as Marketing Account Manager for various Enterprise Clients like Marico Limited, Atomberg Technologies. Helping identify client pain points to handle data and help in building product features.

• Built and strengthened strategic relationships with vendors, advertising agencies and leading industry partners.
• Established, initiated and optimized business development strategies based on company targets, product specifications, market data and budget factors.
• Campaign Planning, Budget tracking and cost benefit analysis, Distribution, Creation, Launch, and Tracking of daily market moments.
• Developed creative presentations, trend reports, kitted assets and product data sheets.
• Evaluated consumer preferences and behaviors, combined with market trends and historical data, to adjust and enhance campaigns.
• Building Marketing Strategies for brands based on Objectives, Budgets, Target Audience
• Product launch/ Competition Analysis/ Study of various Marketing Strategies

• Managed team of 50 students to host various placement drives, tech room setup
• Creating Student Database, Managing Data Quality & sharing data to relevant parties.