Jan 2023 - Present

Senior Data Engineer

Unity Technologies

• Leading product analytics, internal reporting and invoicing for the Offerwall product in the Ads org; partnering with PMs and business teams to deliver insights that drive product growth and support support strategic decision making
• Building datasets by integrating third-party APIs (SensorTower, DeviceAtlas) to enrich feature platform inputs; improved data coverage by 30% using fuzzy matching logic, and collaborated with DS teams to drive adoption in ML models.
• Designed and scaled a near real-time OLAP platform (Imply on Apache Druid), to enable full-funnel analytics—from ad requests to conversions to post-install events—supporting 400+ stakeholders with low-latency, high-concurrency querying.
• The OLAP platform enabled 70% reduction in ad-hoc data pulls and cut insight turnaround time from days to minutes by democratizing access to granular funnel metrics for PMs and business teams to make faster data driven decisions
• Migrated 50+ reports and dashboards from MicroStrategy to Looker by building aggregate tables and LookML models, ensuring data completeness and accuracy; reduced report load times by 40% and seamlessly transitioned 100+ email subs.
• Optimized data pipelines and LookML codebase, reducing validation times by 4x and saving $150k annually through code refactoring
• Identified key areas for cost savings and optimizations by developing GCP Cost Reporting dashboard in Looker
• Technologies Used: SQL, Python, GCP, BigQuery, Looker, LookML, Apache Airflow, Apache Druid, Github, Terraform, dbt.

May 2022 - Aug 2022

Data Engineer Intern

Unity Technologies
Revenue Attribution

• Discovered 10k+ new publishers using Unity to build games and advertising through Unity Ads by consolidating multiple datasets leading to an improved coverage over previous ETL from 2% to 65%>.
• Attributed a 63% revenue increase to Unity-built publishers via in-depth analytics and enrichment.
• Technologies Used: GCP, BigQuery, SQL, Looker, LookML, Airflow, Github.

June 2020 - June 2021

Data Scientist

Limechat

Limechat is India's first level-3 AI D2C chatbot company. (YC W21)

DevOps/MLOps

• Lead all the DevOps initiatives by collaborating cross-functionally with various teams to design and incorporate infrastructure solutions that were used by over 35 clients.
• Designed automated CI/CD pipelines on GitLab for the deployment of 100+ cloud servers using Docker, Kubernetes, GitLab and Azure.
• Setup Azure cluster to deploy horizontally scalable, clustered software using Kubernetes. Launched 50+ cronjobs to automate repetitive tasks.
• Deployed alerting, logging and monitoring (Fluentd, Prometheus, Grafana) tools to deliver timely alerts for all downtimes and issues.

Engineering

• Designed and implemented a real-time data pipeline in python to process and upload over 50,000+ rows of semi-structured data per day from PostgreSQL server to product analytics tool.
• Spearheaded the development of standard client deliverable dashboards on Mixpanel aggregating data from 5 sources into a single tool. The dashboard served as the primary repository to consume reports by PM's and clients.
• Ingested data from disparate sources using a combination of SQL, Google Analytics API, Segment API using python to create dashboards in Mixpanel.
• Worked with clients to understand business needs and translated those business needs into actionable reports either in-house or on Mixpanel saving 8 hrs of manual work each week.
• Developed a custom data analytics dashboard on Flask and VueJS displaying critical KPI's for each client with the ability to download standard excel and pdf reports.
• Integrated a caching algorithm that fetches previous days data from Redis cache that led to 90% faster loading times.
• Incorporated session flow visualization using a tree data structure to understand the paths users take during their lifetime. Analysis of this helped understand key areas of improvement for the chatbot.

Machine Learning

• Designed custom metric based upon weighted F1 score to measure the actual performance of the NLP model used for chatting with 10000+ users per day.
• Devised a tool to label new intents using clustering and active learning reducing the manual labelling time by over 60%
• Spearheaded a research initiative to find the optimal number of data points to be labelled by analyzing the effort vs improvement graph, saving 40+ work hours of manual labelling per month.

Product Manager

• Managed 6 cross functional projects by providing project leadership and daily management throughout the project. Some of these projects are Customer Satisfaction score, Data Labelling, Re-Engagement campaigns.
• Examined the dropoff of users at various stages to effectively target certain groups in Re-engagement campaigns leading to increase in sales by 28% on average across companies.
• Engineered a heuristic-based algorithm to calculate Customer Satisfaction Score for each chat. Handed off unsatisfactory chats to customer support improving the overall customer experience.
• Communicated weekly insights to over 70+ stakeholders to help take an informed decision on changes and future features.
• Synchronized with the Bot development team in a fast paced Scrum development environment to iterate upon old and deliver new features and functionality.

Recommendation Letter

March 2019 - May 2020

Project Intern

Birthvenue

• Developed a universal rating platform for all types of cryptocurrencies and tokens available in the market based on financial and non-financial variables to help investors make decisions.
• Designed a regularized regression model that takes in the variables, determines the ranking and displays the rankings of over 1100+ cryptocurrencies on a website.
• Published a whitepaper that includes details about the phases, parameters and the developed model.
• Technologies and Frameworks used: Python, HTML, CSS, ReactJS, MySQL, AWS, Flask.

May 2019 - July 2019

Research Intern

Oracle Financial Services Software

• Interlinked LDAP server in Kubernetes for authorization purposes. Automated manual formation of access roles in banking systems helping save 10+ hours of work per client.
• Incorporated OpenID connect to fetch relevant roles from server. Authorized multiple users by assigning permission to roles with the help of Role Based Access Control (RBAC).
• Technologies Used: Docker, Kubernetes, Java, HTML.

Association for Computing Machinery

June 2019 - May 2020
Student Mentor

• Mentored the Technical Department on steps to be taken for furthering the growth of the committee.

June 2018 - May 2019
Technical Head

• Responsible for recruiting and managing a team of 15 students focused at conducting workshops and seminars to imbibe a technical culture in college.
• Conducted and taught in various workshops like Augmented Reality workshop using Unity 3D (40 participants), C workshop (150 participants), Amazon Alexa skill building workshop (25 participants).
• Organized and designed questions for intercollege and intracollege coding events. Developed the committee website.
• Mentored teams for building projects in the domain of Augmented Reality.

June 2017 - May 2018
Technical Executive

• Assisted the committee in conducting events and served as debugger during workshops.