Garima Agrawal

Software Engineer

Bengaluru, Karnataka, India1 yr 9 mos experience

Key Highlights

Developed high-throughput telemetry exporter at Morgan Stanley.
Created predictive models achieving R2 score of 0.84.
Mentored over 100 engineers in Python and data engineering.

Stackforce AI infers this person is a Data Scientist with strong expertise in SaaS and observability engineering.

Contact

Skills

Core Skills

Observability EngineeringData EngineeringSoftware DevelopmentData Science

Other Skills

Shell ScriptingGo (Programming Language)GrafanaJiraStreamlitMongoDBJUnitMachine LearningPythonAirflowREST APIsComputer SciencePrometheus.ioData StructuresJavaScript

About

I am an experienced Data Scientist with a strong foundation in Computer Science and Engineering, skilled in applying advanced analytics and modern technologies to deliver meaningful insights. I have completed impactful internships at leading companies, including Expedia Group and Morgan Stanley, where I enhanced data pipelines, developed predictive models, and optimized databases, while also contributing to open-source projects such as the OpenTelemetry Collector.

Experience

1 yr 9 mos

Total Experience

1 yr 9 mos

Average Tenure

1 yr 9 mos

Current Experience

Morgan stanley

3 roles

SDE II (Technology Associate)

Jan 2026 – Present · 4 mos

SDE I (Technology Analyst)

Aug 2024 – Jan 2026 · 1 yr 5 mos

Built a high-throughput Watchtower exporter converting Flatbuffer telemetry into Prometheus metrics, increasing Cortex ingestion throughput by 30%.
Designed Grafana dashboards and alerting pipelines for host and email monitoring, reducing MTTR by 45% and improving anomaly visibility.
Won 2nd place in the TIP Hackathon (India) (150+ teams) with a Loki-integrated Log Maturity Assessment platform using Streamlit + MongoDB.
Nominated as a Rising Star and selected as a finalist for the company-wide Excellence Award for contributions to observability and reliability engineering.
Served as Python SME, mentoring and training 100+ engineers through hands-on workshops and internal technical upskilling programs.
Currently leading development of a Windows Exporter enhancement project, modernizing metric coverage and improving reliability for host-level observability.

Shell ScriptingGo (Programming Language)Observability EngineeringData Engineering

Tech Spring Intern

Jan 2024 – Jul 2024 · 6 mos

Shell ScriptingJUnit

Expedia group

Data Science Analyst Intern

May 2023 – Jul 2023 · 2 mos · Gurugram, Haryana, India · On-site

Created a crucial internal Data Pipeline to democratize access to anyone in EG, making the data available to everyone and easily queryable by ‘Querybook’.
Employed an Airflow scheduler powered by a Python script for efficient data retrieval from the website.
Designed an algorithm to get a reliable and accurate predictive analytic model for our competitors' activities and strategies. This model allowed us to anticipate their moves, such as Product Launches, Pricing Changes, Marketing Campaigns, and other related activities, allowing us to create effective counter-strategies and make sound business judgments.
The Model achieved an impressive R2 score of 0.84 through Machine Learning and Feature Selection.

Machine LearningData Science