Ankit Sharma
@ankitsharma13
Data scientist and marketing data analyst building automated data pipelines and actionable dashboards.
What I'm looking for
I am a data scientist and marketing data analyst with hands-on experience building automated data pipelines, dashboards, and predictive models to drive business outcomes.
At Pluralsight I developed centralized paid-media and B2C/B2B dashboards, automated ingestion into Snowflake, and managed 30+ dashboards supporting $70M ARR, $9.4M ad spend, 622M impressions and complex revenue reporting.
I have built end-to-end projects using Python, SQL, Snowflake, Databricks and visualization tools, and I bring strong skills in EDA, feature engineering, model building, and GenAI-enabled full-stack applications to solve product and marketing problems.
Experience
Work history, roles, and key accomplishments
Marketing Data Analyst
Pluralsight India Pvt. Ltd
Apr 2023 - Present (2 years 8 months)
Built and automated 30+ dashboards and data pipelines consolidating paid media and product metrics, enabling real-time monitoring of $9.4M ad spend and 622M impressions and improving campaign decisioning and dashboard performance.
Data Science Analyst
TigerAnalytics
Jul 2022 - Dec 2022 (5 months)
Performed RFM analysis and uplift modeling for a retail client using Python and SQL, delivering targeted promotion insights that improved campaign targeting and business outcomes.
Operations Executive
Infosys Ltd.
Dec 2020 - Jul 2022 (1 year 7 months)
Managed Veeva CRM data pipelines and interfaces, wrote SQL for data extraction, automated interface jobs with Python, and performed root-cause analysis to resolve CRM integration issues.
Education
Degrees, certifications, and relevant coursework
GH Raisoni College
Bachelor of Science, Computer Science
2017 - 2020
Grade: 7.9 CGPA
Completed a B.Sc. in Computer Science with a CGPA of 7.9, covering core topics in computing and data analysis.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
Skills
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