Looking for a job

Natasha Suman

@natashasuman

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I build ML forecasting, analytics pipelines, and decision dashboards that turn complex data into business impact.

India

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What I'm looking for

I'm looking to build data-driven products that create measurable business and societal impact, with opportunities to solve challenging problems, collaborate across teams, and keep learning.

I build data products that turn live, complex data into faster decisions. As a freelance Data Scientist, I developed an end-to-end crypto forecasting system using Binance and Gnews APIs, time-series machine learning, and NLP sentiment signals from financial news.

At Microsoft, I trained and deployed a Bi-LSTM sequence-classification model on Azure that reduced system latency by 25%. I also created reproducible training and validation pipelines and presented benchmark results to senior product leaders.

At Swiss Re, I automated PySpark and SQL ETL pipelines to cut processing time by 60% and built 10+ Power BI dashboards tracking 50+ KPIs. I enjoy asking better questions, building rapid prototypes, and combining technical curiosity with collaborative, data-driven problem-solving.

Experience

Work history, roles, and key accomplishments

AI Research Collaborator, Academic–Industry Project

Microsoft

Jun 2023 - Aug 2023 (2 months)

▪ Trained and deployed a Bi-LSTM deep learning model for real-time sequence classification on Microsoft Azure, cutting system latency by 25%.
▪ Built reproducible training and validation pipelines using Azure and Git pipeline, streamlining the research workflow for the wider team.
▪ Presented model architecture, testing protocols, and benchmark results directly to senior product leaders at Micros

Data Analyst

Swiss Re

Jun 2021 - Aug 2022 (1 year 2 months)

▪ Automated ETL pipelines with PySpark and SQL, cutting data processing times by 60%, which directly improved portfolio managers’ ability to make timely, data-driven decisions.
▪ Developed and maintained 10+ Power BI dashboards tracking 50+ KPIs, enabling business leaders to proactively manage underwriting and portfolio outcomes.
▪ Bridged data teams and business stakeholders, responding to 20+ we

Data Scientist

REVA Academy for Corporate Excellence - RACE

Jun 2020 - Jun 2021 (1 year)

▪ Built a Random Forest model to predict employee attrition risk, improving HR decision accuracy by 30% and supporting retention efforts across organizations.
▪ Deployed Flask-based dashboards surfacing retention risk and talent analytics, enabling HR teams to act proactively instead of reactively.
▪ Streamlined analytics workflows by 15%, shortening feedback cycles so business partners could resp