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Results-driven Data Engineer with 5+ years of experience in data analytics, machine learning, and revenue operations, supported by a Master’s degree in Data Science. Specialized in Python (pandas, scikit-learn, XGBoost), SQL, Power BI, Salesforce, HubSpot, and Apollo, with a strong track record of building automated data pipelines, predictive models, and forecasting solutions that improve pipeline visibility and decision-making. Experienced in end-to-end ETL development, CRM data modeling, and AI-driven lead scoring across go-to-market workflows.…Results-driven Data Engineer with 5+ years of experience in data analytics, machine learning, and revenue operations, supported by a Master’s degree in Data Science. Specialized in Python (pandas, scikit-learn, XGBoost), SQL, Power BI, Salesforce, HubSpot, and Apollo, with a strong track record of building automated data pipelines, predictive models, and forecasting solutions that improve pipeline visibility and decision-making. Experienced in end-to-end ETL development, CRM data modeling, and AI-driven lead scoring across go-to-market workflows.

Shahheen Chirakula

Data Scientist, AI Engineer, Data Analyst, +1

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Results-driven Data Engineer with 5+ years of experience in data analytics, machine learning, and revenue operations, supported by a Master’s degree in Data Science. Specialized in Python (pandas, scikit-learn, XGBoost), SQL, Power BI, Salesforce, HubSpot, and Apollo, with a strong track record of building automated data pipelines, predictive models, and forecasting solutions that improve pipeline visibility and decision-making. Experienced in end-to-end ETL development, CRM data modeling, and AI-driven lead scoring across go-to-market workflows.…Results-driven Data Engineer with 5+ years of experience in data analytics, machine learning, and revenue operations, supported by a Master’s degree in Data Science. Specialized in Python (pandas, scikit-learn, XGBoost), SQL, Power BI, Salesforce, HubSpot, and Apollo, with a strong track record of building automated data pipelines, predictive models, and forecasting solutions that improve pipeline visibility and decision-making. Experienced in end-to-end ETL development, CRM data modeling, and AI-driven lead scoring across go-to-market workflows.

Available to hire

Results-driven Data Engineer with 5+ years of experience in data analytics, machine learning, and revenue operations, supported by a Master’s degree in Data Science. Specialized in Python (pandas, scikit-learn, XGBoost), SQL, Power BI, Salesforce, HubSpot, and Apollo, with a strong track record of building automated data pipelines, predictive models, and forecasting solutions that improve pipeline visibility and decision-making. Experienced in end-to-end ETL development, CRM data modeling, and AI-driven lead scoring across go-to-market workflows.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Language

English

Fluent

Work Experience

Data Engineer at Silverline (Part of Mphasis)

December 1, 2024 - Present

Led end-to-end RevOps data & AI pipeline to increase conversion efficiency, forecast accuracy, and campaign ROI visibility. Sourced and enriched 60K+ leads, improved data completeness from 72% to 96%, and reduced SDR research time by ~40%. Built end-to-end ETL pipelines using SQL, Azure Data Factory, and data modeling; developed a scalable AI-driven lead scoring model in Python (XGBoost, scikit-learn) using Salesforce opportunity history and engagement signals, increasing lead-to-opportunity conversion by 22%. Operationalized scoring and forecasting in Salesforce; built revenue forecasting and pipeline health dashboards in Power BI; connected HubSpot campaign performance to Salesforce opportunities via SQL attribution; delivered executive-ready insights informing QBRs and GTM budget allocation.

Power Distribution Systems & Protection Intern at Bharat Dynamics Limited (BDL)

May 1, 2019 - June 30, 2019

Completed hands-on training in Power Distribution Systems and Protection, covering electrical distribution networks, protection schemes, fault analysis, and the use of relays and circuit breakers to ensure system reliability and safety.

Solar PV System Design & Energy Optimization Intern at Bharat Dynamics Limited (BDL)

June 1, 2020 - July 31, 2020

Designed solar PV systems and energy optimization strategies as part of internship; performed load calculations and site analysis.