QuantumBlack, AI by Mckinsey

Data Engineering
- Leveraged dbt and airflow to create a near real time ETL pipeline to support creating a data product for a commodity trading desk. Utilized dbt data quality to create a data quality framework to identify issues with KDE.
- Led the data engineering workstream for a global hotel client, architecting the data layer with Snowflake dynamic tables and building a ThoughtSpot semantic layer to enable natural language querying; reduced General Managers’ time to uncover insights on customer surveys, service requests, and revenue by 80% across hotels worldwide.
- Developed Delta Live Tables (DLT) pipelines in Databricks to aggregate and enhance customer and vehicle data for an automobile client. Monitored data quality metrics using Great Expectations, resulting in 18% improvement in data quality across domains.
- Collaborated with clients to design a comprehensive data model that integrates customer information from six different sources. Created customer segments using advanced clustering techniques to enable targeted marketing campaigns.
- Engineered advanced Glue pipelines to seamlessly ingest and aggregate data from Snowflake, subsequently feeding it into Large Language Model (LLM) for a firm-wide, high-performance search retrieval application.

DataOps
- Create a DataOps platform that uses Azure Data Factory (ADF) for orchestration and Azure Synapse for compute, optimizing data transformation, and processing across medallion architecture layers.
- Helped a packaging client set up a governance and cataloging platform using Microsoft Purview, an Azure-native catalog tool which resulted in 65% adoption rate in the first 3 months.

HarbourVest Partners

Had tremendous growth working in an extrememly small team setting.
- Collaborating with investment team to create client request forecasting models that predicts client requests for upto 3 years in advance.
- Implemented latest time series forecasting models such as Prophet, N-Beats etc by integrating it with the firm’s ecosystem.

ZS Associates

- Worked on end-to-end implementation on ML Monitoring dashboard using latest toolkits including EvidentlyAI, Mlflow and Grafana.

- Built scalable connector functions to the firm’s autoML capability and deployed the dashboard using FastAPI.

Deloitte US India

Workedin the Cloud ML/AI team
- Built an omni-channel chat bot and call-center capability for a client using Amazon Lex, Connect and Lambda
- Worked on NLP tasks such as custom NER model, sentimental analysis, topic modelling, question answer detection, classification.
- Prototyped Auto ML capability as an internal asset for regression, Classification and time series forecasting.
- Did a POC on posture recognition where we used Xception and Resnet model and deployed it as a FLASK
- Played a vital role in a cloud migration project where we migrated 2B+ healthcare data points using tools like Apache Kafka and Apache NIFI

Eduquity

Worked for 3 months as a AI engineer. Built a facial verification system for the company which provides service of conducting offline and online exams.

Ensight Business Solution Private Limited

Worked on building website for clients using HTML,CSS, JS and bootstrap

Northeastern University

GPA: 4.0/4.0
Related subjects: Deep Learning , Supervised Machine Learning, Unsupervised learning, Data management and processing

PES Insitute of technology(VTU)

GPA: 7.9/10
Undergrad in Computer Science with a focus on Machine Learning and Big Data