Open to opportunities

Mertcan Coskun

@mertcancoskun

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Data Scientist with expertise in analytics and machine learning.

Turkey

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What I'm looking for

I am looking for a role that fosters innovation and offers growth opportunities in data analytics.

I am a dedicated Data Scientist with extensive experience in the pharmaceutical and technology sectors. Currently, I lead sales and marketing reporting processes at Abbvie Pharmaceuticals, where I leverage advanced analytics to drive decision-making and optimize marketing strategies. My work involves transforming complex data into actionable insights, utilizing tools like Palantir's Foundry, Python, and SQL.

Previously, I served as a Senior Data Scientist at Sellforte, where I integrated large datasets to enhance marketing performance through Bayesian time series models. My contributions included developing data transformation pipelines and improving onboarding processes for clients. I also have a strong background in customer analytics from my time at Norton Antivirus, where I created interactive dashboards that significantly improved campaign performance and reduced customer churn.

With a Master's degree in Econometrics and a Bachelor's in Industrial Engineering, I am passionate about using data to solve real-world problems. I continuously seek opportunities to innovate and improve processes, and I thrive in collaborative environments where I can share my knowledge and learn from others.

Experience

Work history, roles, and key accomplishments

Current

Data Scientist

Current

Abbvie Pharmaceuticals

Feb 2024 - Present (1 year 3 months)

Led sales and marketing reporting processes, developed dashboards, and implemented time series forecasting for marketing effectiveness. Collaborated with teams to enhance analytics for hepatitis-C drug, improving decision-making and market reach.

Data Analysis SQL Time Series Dashboard Development Collaboration Marketing Analytics Python

Senior Data Scientist

Sellforte

Jan 2023 - Jan 2024 (1 year)

Worked with large customers to integrate data and analyze marketing performance using Bayesian time series models. Developed ETL pipelines and contributed to a data transformer library, enhancing onboarding efficiency.

Data Integration AWS ETL Python Marketing Machine Learning Data Visualization

Data Scientist

Norton Antivirus

Oct 2020 - Nov 2022 (2 years 1 month)

Participated in customer and marketing analytics projects, creating dashboards for A/B testing and analyzing user behavior. Utilized SQL and PySpark for data management, reducing customer churn significantly.

Analytics A B Testing React SQL Pyspark Data Visualization Machine Learning Data Pipelines

BI Developer

International Paper

May 2018 - Aug 2020 (2 years 3 months)

Modernized reporting processes by creating automated dashboards and establishing data pipelines. Worked with finance teams to design visuals for financial performance metrics, conducting training sessions for colleagues.