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Sakshi UserSU
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Sakshi User

@sakshiuser15

Data Scientist and Data Engineer building ML forecasting and cloud ETL/ELT automation to drive capacity planning.

India
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What I'm looking for

I’m looking to build production ML forecasting and data platforms in Azure-scale environments, partner cross-functionally, automate pipelines, reduce latency, and deliver measurable impact through strong engineering practices.

I’m a Data Scientist and Lead Engineer with 4+ years building ML forecasting systems and cloud-scale ETL/ELT pipelines, focused on delivering faster, more reliable decisioning at enterprise scale. I’ve improved forecasting accuracy by up to 25%, reduced data latency by 35%, and cut manual reporting overhead by 60% by automating end-to-end workflows across the full ML lifecycle.

In Azure Databricks, Synapse, and ADF environments, I’ve taken solutions from feature engineering and model evaluation to deployment and monitoring—automating anomaly detection, error tracking, and near-real-time capacity insights. I also bring strong data engineering depth from building Informatica MDM pipelines integrated with enterprise systems (achieving >99% master data accuracy), optimizing ETL performance by 25%, and mentoring junior engineers to accelerate ramp-up.

Experience

Work history, roles, and key accomplishments

Hcl Technologies logoHT

Software Developer - Data Scientist

Aug 2024 - Sep 2025 (1 year 1 month)

Built hybrid forecasting using linear regression with statistical metrics, improving power-allocation accuracy by 21% across Microsoft cloud regions. Developed Databricks demand-forecasting pipelines (ARIMA, Seq2Seq, clustering) and automated Power BI dashboards to eliminate 4–6 hours of manual reporting per week.

Education

Degrees, certifications, and relevant coursework

Amity University, Noida logoAN

Amity University, Noida

Bachelor of Computer Applications, Computer Applications

2022 - 2025

Earned a Bachelor of Computer Applications (BCA) from Amity University, Noida, completed between 2022 and 2025.

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