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Based solely on my soft skills, what are some viable 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 soft skills, such as strong analytical and problem-solving skills, excellent communication and collaboration abilities, and an extensive background in data science, you may have several viable career options. Some of these could include:

  1. Data Science Manager: With your expertise in advanced statistical algorithms, machine learning, and forecasting, you could take on a leadership role in managing data science teams. You would be responsible for providing high-quality business intelligence solutions, turning data into actionable insights and providing recommendations to senior stakeholders.

  2. Business Analyst: Your skills in statistical analysis and creating reports could also make you an excellent fit for a business analyst position. You would be responsible for analyzing data to identify trends and patterns and creating reports that provide insights into the business's performance, helping organizations make informed decisions.

  3. Product Manager: Your experience in implementing machine learning systems and optimizing customer recommendations models can also make you an ideal candidate for a product manager role. You would be responsible for overseeing the development of new products, analyzing customer needs and feedback, and ensuring the product meets customer needs while also maximizing revenue growth.

  4. Data Engineer: Your background in programming languages such as Python, Java, and C, along with your experience with big data technologies like Hadoop, HBase, and MapReduce, can also make you a good fit for a data engineering role. You would be responsible for designing and maintaining the infrastructure needed to manage and process large amounts of data.

  5. Data Scientist: Your background in data science, analytical modeling, and programming, as well as your experience with various tools such as SAS, SPSS, and Rapid Miner, make you an ideal candidate for a data scientist role. You would be responsible for analyzing complex data sets, building machine learning models, and developing algorithms to solve complex business problems.

These are just some potential career paths that align with your soft skills, experience, and qualifications. However, the final decision depends on your personal preferences, goals, and interests.