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Based on my technical skill set, what are the career perspectives ahead of me? Here's my resume: Senior Data Scientist | CAP | DASCA +1-713-645-3682 Phoenix, AZ Summary ====== With eight years experience working as a data scientist and more than ten years of strong academic background in analytical modeling and programming, I strive to bring high-quality business intelligence solutions to businesses seeking higher efficiency. With expertise in advanced statistical algorithms, machine learning and forecasting, I have also worked on over 1150 high performance parallel processing applications using C++ and C. Experience ====== Senior Data Scientist - Marketing Team Dell 01/2018 - Ongoing Phoenix, AZ - Turned data into actionable insights, providing C-suite stakeholders with insightful recommendations to streamline business operations and improve customer experience. - Generated statistical reports and visualizations, providing key insights for more than 20 marketing campaigns and initiatives, including A/B testing, customer retention, brand awareness, and global expansion. - Worked with senior leadership to develop and implement digital marketing strategy, identifying and implementing new tactics to improve campaign performance by 50%, resulting in 250% increase in revenue from search marketing campaigns. Senior Data Scientist Metro 01/2018 - 01/2020 Phoenix, AZ - Designed and implemented a machine learning system that predicts hardware malfunction with more than 80% accuracy. - Created global and personalized real time reports system for executives stakeholders and processes in SAS, Tableau, and proprietary systems. - Worked closely with a team of data engineers and BI analysts to improve the efficiency customer recommendation analytics engine by 33%. Data Scientist Drouin S.A.R.L. 01/2014 - 01/2018 Phoenix, AZ - Collected technical requirements for $500K+ customer accounts, defining data rules for and KPIs for performance metrics. - Perform HR data collection and a variety of statistical analyses using Microsoft Excel, SAS, Tableau and Python. - Assisted senior data science team in building innovative machine learning models and segmentations for personalization initiatives to drive margin, revenue, and conversion. Education ====== BS: Data Science 4.0 UC, Berkley 01/2008 - 01/2012 TECH STACK ====== - Python - Java - C - Scala - R - Hadoop - Rapid Miner - QlikView - MonboDB - HDFS - HBase - MapReduce - flask - scikit-learn - SAS programming - SPSS KEY ACCOMPLISHMENTS ====== Implemented and designed a machine learning system that predicted malfunctions in server hardware with more than 80% accuracy. Optimized customer recommendations model that resulted in 22% revenue growth in regional stores. Strengths ====== International internships and experience 4 internships in Singapore and Norway Hard-working Studying 2 majors simultaneously while - for some time - also working alongside at Deloitte. Habituated to long days. Solving complex problems Due to my Law and IT education

Based on your technical skill set and experience, you have a strong foundation in data science, statistical modeling, programming, and machine learning. With your expertise in advanced statistical algorithms, machine learning, and forecasting, you could explore a wide range of career opportunities in the field of data science, including:

  1. Data Scientist: You could continue to work as a data scientist in various domains, including marketing, finance, healthcare, and retail, among others.

  2. Machine Learning Engineer: Your expertise in building machine learning systems could be used in designing, developing, and deploying machine learning models and algorithms.

  3. Data Engineer: You could also work as a data engineer, building and maintaining large-scale data processing systems using Hadoop, Spark, and other big data technologies.

  4. Business Intelligence Analyst: With your experience in generating statistical reports and visualizations, you could also work as a business intelligence analyst, helping organizations make data-driven decisions.

  5. Data Science Manager: Your experience in leading teams of data scientists, data engineers, and BI analysts could also be valuable in a management role as a data science manager.

Overall, your skill set and experience offer you numerous career prospects in the field of data science, and you could explore various opportunities based on your interests and career goals.