Utkarsh Agrawal — AI Researcher

First and foremost, I love solving technical problems and learning new things. Most of them revolve around advancements in data sciences and software engineering. With my first few internship experiences, I got the opportunity to apply NLP techniques on very interesting problem statements like chatbots and user query automation. I explored state-of-the-art methodologies and honed my machine learning skills while solving them. I naturally felt comfortable in data science, partly due to my majors in mathematics and computing from IIT Kharagpur. Moving forward, I went on to extend my experience in the corporate world with Fractal Analytics, one of the industry leaders in data analytics services. From quickly running experiments on my notebooks, I went on to write production-level code and develop MLOps architecture for the whole product at Eugenie.ai, a brainchild of Fractal Analytics. Being an early member of a startup, I got immense exposure in product development, data science, and software engineering. This is where I fell in love with taking sole ownership, building, and delivering quality solutions that create bottom-line impact. While building Eugenie.ai, I got exposed to best practices for software engineering as well when we built the streaming data ingestion pipeline for sensors which involved writing pub-sub based services. Running experiments on notebooks and using models in production are two entirely different things. I designed and implemented a full-fledged streaming big-data analytics service which involved creating a scalable MLOps architecture discussed in detail here. https://eugenie.ai/ai-mlops-deep-learning-models-for-real-time-analytics/ Post Eugenie, I started working with Trell on personalising their user's video feed where we have achieved ~40% improvement in engagement till date. Here are my core hands-on skills: Data Engineering: Apache Hadoop, Pig, Hive, Sqoop, Spark, Flink, Kafka, Airflow DataStores/Databases : HDFS, MySQL, Bigquery, MongoDB, DocumentDB, TimeScaleDB, Redis, MilvusDB Data Analysis: SQL, Excel, Statistics Data Science: Recommender Systems, Time series, NLP MLOps: Kubernetes, Docker, Shell, Vim, Sentry, Prometheus, Grafana, Kubeflow, Mlflow, Databricks, AWS Sagemaker Cloud: AWS » Azure > GCP Connect with me for any data science related discussions here => https://topmate.io/utkarsh_agrawal

Stackforce AI infers this person is a Data Scientist with expertise in Machine Learning and NLP for B2C applications.

Location: Bengaluru, Karnataka, India

Experience: 4 yrs 3 mos