Sep 2021 – Jul 2023 · 1 yr 10 mos · Bengaluru, Karnataka, India

• ✅ Leading end to end Data Engineering and MLops solutions to translate structured and unstructured data for ML insights using order, shipping and consumer data for cross functional teams.
• ✅ Coordinated with different product teams, DevOps, and DS team to complete data lake and planned for the future roadmap.
• ✅ Did decision-making and execution to streamline data platform requirements and resources.
• ✅ Explored different options which we can use for various purposes like visualization, schema finalization, and SQL query on the data lake to finalize the best solution for data engineering needs.

Nov 2019 – Aug 2021 · 1 yr 9 mos · Mumbai Metropolitan Region

• ✅ Architecting and building complex business solutions that help internal stakeholders with talent assessment, brand affinity, identify patterns, advertisement optimization, development for strategy setting and decision making
• ✅ Develop Big Query ML models to gain deep insights into consumer behavior and prescribe actions to improve artist-focused content personalization, consumer engagement and e-commerce products monetization
• ✅ Support exploration of new technologies, digital media trends and experimental methods to identify growth opportunities
• ✅ Business Automation using multimedia data ingestion, discovery, processing, network modeling and delivery dashboards
• ✅ WhatsApp Bot for Shopify stores having user conversation in English, Hindi and Hinglish
• ✅ Analyzing and forecasting demand, optimizing unit economics, geographic/territory targeting and tracking consumption
• ✅ Applied network queries and social media analytics concepts for noise generation, file cleaning and data comparison
• ✅ Agile based product development for machine learning oriented applications focusing on team deliverables
• ✅ Used - Python, Flask, Google Cloud, Docker, Confluence, Jira, Twilio, Swagger, API Gateway
• Data Engineering: Kafka, Jenkins | Data API: YouTube, Facebook Graph, Shopify, Shiprocket, Zoom, Google Analytics
• Databases: MongoDB, Big Query, Elasticsearch| Data Science: Pandas, PySpark, Scikit, Keras, Tableau, Dialog Flow,
• Research keywords: NLP, Object Detection, Time Series Analysis, Topic Modeling, Sentiment Analysis, TF-IDF

Jan 2019 – Nov 2019 · 10 mos · Noida, Uttar Pradesh, India

• ✅ Defining Cloud and DevOps roadmap to manage service for IOT data ingestion of about 300+GB with 99.5 % uptime
• ✅ Reduction in Infrastructure cost and virtual machine footprint by 34% after implementing microservices and improved latency and throughput using auto scale ingestion
• ✅ Improved experience by calculating metric of different pipelines keeping ingestion and data access API separately
• ✅ Maintaining Log monitoring, load testing, alerting and playback system of data ingestion
• ✅ Resolved operational issues concerning Dataops infrastructure - databases, data pipelines, data warehouses and storage
• ✅ Leading team on data science and engineering application building ETL and ML automation platform that drives business
• ✅ Built prediction model for identifying SKUs at risk, for cross-sell and up-sell in retail store leading to annual benefit
• ✅ Hands-on experience from scratch to build machine learning model and deriving business insights using tableau dashboard, A/B test requirements and metrics
• ✅ Used - Python, Flask, Azure and Google Cloud, H3 Uber's Spatial Index, Selenium
• Data Engineering: Kafka, Jenkins, IOT Hub, Locust, Docker, Image Registry, Kubernetes, Airflow,
• Geoserver
• Databases: Cassandra, Kairos DB, Azure SQL, Big Query | Data Science: Pandas, Scikit, Keras,
• PySpark, Tableau
• Research keywords: Regression, Time series analysis, Clustering

Jul 2017 – Oct 2018 · 1 yr 3 mos · Hyderabad and Singapore

• ✅ Developed Building detection using OpenCV, Python, Flask, Docker, Google Static Map
• ✅ Implemented sentimental analysis of client emails using Word2Vec, Scikit, Keras (LSTM) and Google Cloud ML Engine
• ✅ Deployed visualization of analysed IOT dataset using D3 chart, Google Map, Vue.js, Flask, POSTGIS and PostgreSQL
• ✅ Created model using Python, Keras (CNN), Planet API and Google Earth Engine for Augmented Reality IOS Application and was featured in Geospatial World Forum 2018
• ✅ Worked on chat bot feature using NLP, Socket.IO and Google Cloud and sped up user interaction
• ✅ Analysed vehicle routing problem (carpooling) using optimisation tool, Google Map API, and python (Singapore Project)
• ✅ Conducted technical training sessions, supervised interns, hiring and collaborated with 3 teams for development of products
• ✅ Completed specialization courses on Google Map API and Data Engineering on Google Cloud Platform [Certificate]

Sep 2016 – Jun 2017 · 9 mos · Bengaluru, Karnataka, India

• ✅ Worked in Ray V7 Product to improve its API Development and Query Optimisation to reduce processing time
• ✅ Created online portal for calculating Doctor’s Churn of Ray Product for Business Analyst team using Periscope Data and SQL
• ✅ Deployed app end to end on AWS including unit tests and documentation to track travelled places [GitHub]
• ✅ Used - Laravel, Symfony, PHP, Doctrine, MySQL, NG Map, Amazon EC2, Git, New Relic, MVC pattern, Sentry, Unit Tests, Graylog

Aug 2015 – May 2016 · 9 mos · IIT Kanpur

• ✅ Devised study plans for conducting labs with initiation of MATLAB tutorials to help undergraduate students

May 2015 – Jul 2015 · 2 mos · Hanover, Germany

• Strategy - Investigated and created the interface in globe view and street panorama using Web GL, model, C# and Visual Studio
• Result - Researched what kind of gestures and interaction like speech and screen capturing are meaningful for map tasks

May 2014 – Jul 2014 · 2 mos · Goa,India

• Objective - To manage geospatial and tax data for map based portal for predicting tax collecting patterns for municipality
• Strategy -
• 1) Used platforms like HTML5,CSS3, JavaScript, jQuery, AJAX, Open layer, PostgreSQL, GeoServer
• 2) Complemented Android based product development for taking building shape files by enhancing its map visualization
• Result - Compared performances geographically and timely of shops with reports and graphs as hyperlocal information system
• Other - Reviewed algorithms for building detection, its 3D model and height estimation in Matlab for different application

Dec 2013 – Dec 2013 · 0 mo · Nainital

• Strategy - Analysed data in Microsoft Excel and executed spatial queries in ArcMap using multi-date data of GPS and total station
• Result - Planned and executed real life mapping problem in team of five and suggested detailed map for redevelopment plans

May 2013 – Jul 2013 · 2 mos · Greater Delhi Area

• Strategy - Initiated a new process to engage users based on gamification principles to gain better insight of consumer behaviour
• Result - Developed website, newsletters and advertisements for holiday rentals which attracted large hotel customers

Aug 2012 – Mar 2013 · 7 mos · IIT Kanpur

• Handled national earthquake design challenge, guided students regarding design and promoted event through various marketing activities leading to an increase in participation.

Aug 2012 – Oct 2012 · 2 mos · IIT Kanpur

• Managed personality contest by low-cost publicity campaign, synchronized activities of team of 20 to drive over 500 users to the most sought-after title of Mr. and Ms. Antaragini in Antaragni, the annual cultural festival of IIT Kanpur which witnesses a footfall of 16,000.

Jul 2012 – Apr 2013 · 9 mos · IIT Kanpur

• 1) Led team of 10 student representative responsible for the Civil Engineering activities consisting of about 500 students
• 2) Increased students and faculties interaction by inviting and organizing lectures from officials to increase awareness of society