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Data Scientist with 2+ years of experience using Python, SQL, PySpark, and TensorFlow to turn large-scale behavioral and streaming data into actionable insights. I leverage NLP and Generative AI for improved event classification and content relevance, and I build predictive models to uncover adoption trends and forecast user behavior. I also design scalable ETL pipelines, segmentation frameworks, and visualization solutions to support better decision-making, operational efficiency, and data-driven product strategy. I’m experienced with AWS, Docker, Kubernetes, and MLflow, and I enjoy building reliable production ML workflows and measurable business impact.…Data Scientist with 2+ years of experience using Python, SQL, PySpark, and TensorFlow to turn large-scale behavioral and streaming data into actionable insights. I leverage NLP and Generative AI for improved event classification and content relevance, and I build predictive models to uncover adoption trends and forecast user behavior. I also design scalable ETL pipelines, segmentation frameworks, and visualization solutions to support better decision-making, operational efficiency, and data-driven product strategy. I’m experienced with AWS, Docker, Kubernetes, and MLflow, and I enjoy building reliable production ML workflows and measurable business impact.

Shruti Liladhar Devlekar

Data Scientist, Data Analyst, Data Engineer, +1

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Data Scientist with 2+ years of experience using Python, SQL, PySpark, and TensorFlow to turn large-scale behavioral and streaming data into actionable insights. I leverage NLP and Generative AI for improved event classification and content relevance, and I build predictive models to uncover adoption trends and forecast user behavior. I also design scalable ETL pipelines, segmentation frameworks, and visualization solutions to support better decision-making, operational efficiency, and data-driven product strategy. I’m experienced with AWS, Docker, Kubernetes, and MLflow, and I enjoy building reliable production ML workflows and measurable business impact.…Data Scientist with 2+ years of experience using Python, SQL, PySpark, and TensorFlow to turn large-scale behavioral and streaming data into actionable insights. I leverage NLP and Generative AI for improved event classification and content relevance, and I build predictive models to uncover adoption trends and forecast user behavior. I also design scalable ETL pipelines, segmentation frameworks, and visualization solutions to support better decision-making, operational efficiency, and data-driven product strategy. I’m experienced with AWS, Docker, Kubernetes, and MLflow, and I enjoy building reliable production ML workflows and measurable business impact.

Available to hire

Data Scientist with 2+ years of experience using Python, SQL, PySpark, and TensorFlow to turn large-scale behavioral and streaming data into actionable insights. I leverage NLP and Generative AI for improved event classification and content relevance, and I build predictive models to uncover adoption trends and forecast user behavior.

I also design scalable ETL pipelines, segmentation frameworks, and visualization solutions to support better decision-making, operational efficiency, and data-driven product strategy. I’m experienced with AWS, Docker, Kubernetes, and MLflow, and I enjoy building reliable production ML workflows and measurable business impact.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Language

Work Experience

Data Scientist at Dataminr

July 1, 2025 - Present

Built real-time event detection workflows using PySpark and AWS SageMaker, improving alert relevance by 18% across global public news and social content streams. Refined NLP classification models using PyTorch and TensorFlow, improving entity extraction consistency by 15% to support faster intelligence assessment for emerging risk events. Engineered feature transformations for streaming data via ETL pipelines, accelerating event ingestion by 24% and improving downstream model readiness. Evaluated Generative AI summaries versus analyst outputs, increasing content relevance by 13% and establishing quality benchmarks. Managed deployment and experimentation using MLflow and Docker, reducing validation turnaround by 16%.

Data Scientist at Atlassian

June 1, 2023 - July 1, 2024

Analyzed Jira and Confluence usage data with Python and SQL to uncover adoption trends, improving feature prioritization accuracy by 14%. Conducted exploratory data analysis on customer interaction datasets, finding 17% variation in engagement behavior across enterprise and mid-market segments. Developed predictive modeling to estimate feature adoption likelihood, improving targeting effectiveness by 12%. Processed behavioral datasets with Apache Spark, reducing feature preparation time by 21%. Created Tableau dashboards to improve stakeholder visibility and centralize adoption insights (18% improvement). Performed model evaluation and statistical analysis to reduce forecasting variance by 17% and strengthen long-term product planning confidence.

Data Analyst (Intern) at CleverTap

January 1, 2023 - May 1, 2023

Examined campaign performance data using SQL and Power BI to identify audience behavior trends that improved targeted engagement effectiveness by 12%. Integrated customer interaction records across messaging, push notification, and in-app channels, improving reporting completeness by 19%. Used Python (Pandas/NumPy) for data wrangling to reduce segmentation preparation effort by 15%. Validated data quality and attribution reporting outputs, reducing dashboard discrepancies by 16% and improving stakeholder confidence in campaign measurement.