Sweekrithi Shetty

Lead Data Scientist

https://www.opentalent.in/sweekrithi-shetty

Lead Data Scientist with 6+ years in Machine Learning, AI & Advanced Analytics

Key Strengths

Extensive experience in developing and deploying ML models for various applications (forecasting, churn prediction, anomaly detection, NLP).
Strong background in building scalable data pipelines using PySpark, Azure Databricks, and optimized SQL transformations.
Demonstrated ability to leverage Generative AI and LLMs for merchant insights and data summarization.
Proficient in A/B testing, causal inference, and statistical hypothesis testing to drive data-driven decision-making.
Experience across diverse industries (e-commerce, tech, automotive, telecommunications) with significant impact on business metrics (revenue uplift, cost savings, latency reduction).

AI is analyzing your overall score…

Identifying your key strengths…

Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

About

Data Scientist with 5+ years of experience leveraging machine learning and advanced analytics to drive business value. Proven ability to architect scalable data pipelines, develop predictive models, and implement AI-powered solutions that reduce latency by up to 96% and improve forecasting accuracy by 18%. Expertise in Python, PySpark, LLMs, and A/B testing, with a strong track record of enhancing decision-making, optimizing pricing strategies, and driving significant cost savings and revenue uplift for leading tech and automotive companies. Eager to apply these skills to labor market insights at your organization.

Top Skills

PythonDocker

Skills

PythonNumpyScikit LearnPyTorchRScalaClassificationXgboostTransformersBERTPandasTensorFlowKerasSQLClusteringEmbeddingsMlflowDockerKubernetesAirflowDbtPysparkAzure DatabricksSnowflakeAws RedshiftAWS LambdaAzure SynapseA/B TestingCausal InferenceTableauPower BIMatplotlibSeabornAws Quicksight

Education

State University of New York

Master of Science · Computer Science

August 1, 2021 – June 30, 2022

University of Mumbai

B.E. · Electronics & Telecommunication Engineering

August 1, 2014 – June 30, 2018

Experience

Amazon

Business Intelligence Engineer

November 1, 2024 – Present

San Francisco, California, United States

Microsoft

Data Analyst

February 1, 2023 – November 1, 2024

San Francisco, California, United States

Oracle Red Bull Racing

Data Scientist

August 1, 2022 – January 1, 2023

San Francisco, California, United States

Tata Communications Ltd

Data Scientist

June 1, 2018 – January 1, 2021

San Francisco, California, United States

Key Strengths

Extensive experience in developing and deploying ML models for various applications (forecasting, churn prediction, anomaly detection, NLP).
Strong background in building scalable data pipelines using PySpark, Azure Databricks, and optimized SQL transformations.
Demonstrated ability to leverage Generative AI and LLMs for merchant insights and data summarization.
Proficient in A/B testing, causal inference, and statistical hypothesis testing to drive data-driven decision-making.
Experience across diverse industries (e-commerce, tech, automotive, telecommunications) with significant impact on business metrics (revenue uplift, cost savings, latency reduction).

Cultural & Operational Fit

Cultural Fit Analysis

The candidate has worked in diverse, high-performance environments (Amazon, Microsoft, Oracle Red Bull Racing, Tata Communications), suggesting adaptability and a results-oriented mindset. The breadth of projects, from real-time Edge AI to financial reporting and customer feedback, indicates a versatile and curious individual who can thrive in dynamic settings. The focus on driving business value aligns well with a performance-driven culture.

Soft Skills & Operational Fit

The candidate's resume highlights strong collaboration with cross-functional stakeholders, leadership in model development, and a focus on business impact, indicating good operational fit and potential for leadership in a data science team. The ability to translate complex technical solutions into tangible business value suggests strong communication and problem-solving skills.