turns-00019.parquet:70577
cae5f1ee94743350e9ad830e
turn 8/10gpt-4-0125-previewEnglishUnited States921 words
degenerate_repetitionAbsentFinal dense release
USER
similarly make for this : JOB DESCRIPTION We are looking for an experienced Data Analyst that will work with the Research/Development teams to provide insights into mobile data captured and translate those into recommendations for our Digital Marketing team and clients. The scientist will also work with the engineering teams to drive the development of predictive analytics software enhancements to automate the processing of captured data, generate recommendations and produce reports. These tools will be used by businesses and brands to further understand and influence the way consumers interact with their mobile apps. Previous experience and/or proven interest in artificial intelligence, machine learning, data mining, natural language processing, and predictive analysis are desired. Strong communication and interpersonal skills will also be critical to your success. 3-12 months, full time Department: Technology Reports to: Vikas Wadhwa, Location: Chicago, Illinois WHO WE ARE Our team's digital inventiveness and mobile location expertise creates brand stories that produce results. We are seasoned professionals who have worked in marketing, technology, mobile, and beyond. Our skills include Micro-fencing, mobile strategy, data analytics, and more. THIS POSITION WILL ENTAIL: Our client work regularly requires a data analyst for data sources and processing schemes by identifying sources, gaps, requirements, and analytical performance. This includes: Acquiring and categorizing datasets from all current sources. Investigating current source gaps and modeling processes. Collaborating with Data Sciene team and business SMEs on current analysis tools, processes, and techniques. Understanding, interpreting, and creating gap-analysis on the current data warehousing design and ETL processes. Clean, aggregate, and organize data from disparate sources and transfer to centralized data warehousing. Design and build ETL processing for legacy/incomplete sources. Design and build updated data source documentation. Identify reporting performance expectations and optimization paths. Collect, validate, manipulate and perform exploratory data analysis tasks on analytical data sets Develop predictive analytics models and advanced recommender systems Communicate newly discovered insights based on analysis to the team DESIRED SKILLS QUALIFICATIONS: 3-5 years of experience in data analysis and/or datawarehousing ETL environments Problem solving aptitude Able to multitask, prioritize, and manage time effectively Strong technical skills regarding data analysis, machine learning, and programming Strong working knowledge of, Python, Hadoop, SQL, and/or R Excellent communication skills: the ability to convey complex analysis results clearly and with conviction to all levels of stakeholders REQUIRED EDUCATION AND WORK EXPERIENCE: 1 – 2 years of experience in statistical modeling and machine learning algorithms Experience solving real problems using data mining techniques and with statistical rigor Bachelors, Masters, Ph.D. or equivalent experience in a quantitative field (computer science, physics, mathematics, engineering, bioinformatics) PREFERRED QUALIFICATIONS: Prior experience with standard ML models: Logistic Regression, Support Vector Machines, Neural Networks, and Hidden Markov Models Experience implementing a real-world Recommender or Ranking system Worked with the Hadoop Ecosystem Implemented multi-core/distributed software, preferably in a Linux environment Experience working with Amazon Web Services
ASSISTANT
[Your Name] 680.216.3807 | rahulkotian26@gmail.com linkedin.com/in/rahulkotian26 | rahulkotian98.github.io/portfolio1 [Today's Date] Vikas Wadhwa Technology Department Digital Factory [Company Address] Chicago, Illinois Dear Vikas Wadhwa, I am writing to express my keen interest in the Data Analyst position within Digital Factory's Technology Department. With a Master of Science in Information Systems from Syracuse University, coupled with a Bachelor of Engineering in Computer Engineering from Mumbai University, I bring a comprehensive skill set and hands-on experience in data analysis, statistical modeling, and machine learning algorithms that align perfectly with the demands of this role. Throughout my academic and professional journey, I have cultivated substantial expertise in Python, SQL, R, as well as familiarity with the Hadoop Ecosystem and Amazon Web Services, positioning me as an excellent fit for your team. My experience at the Dynamic Sustainability Lab provided me with a solid foundation in data acquisition, ETL processes, and predictive model development, underpinning my capability to deliver actionable insights from complex datasets. In one significant project, I spearheaded the implementation of a robust machine learning model employing Linear, K-Support Vector Machines (KSVM), and RTree models for healthcare data analysis. This project not only demonstrated my statistical rigor but also showcased my ability to translate intricate data patterns into practical, actionable strategies, achieving an impressive accuracy rate that significantly improved high-cost patient prediction for the upcoming year. Moreover, my work on developing a next-word prediction system using natural language processing techniques represented my innovative approach to problem-solving and my capacity to apply advanced machine learning models, such as Neural Networks and Hidden Markov Models, to real-world challenges. This endeavor led to a substantial improvement in prediction accuracy and demonstrated my proficiency in driving the development of predictive analytics software enhancements. I am particularly excited about the opportunity at Digital Factory due to your team’s commitment to utilizing digital inventiveness and mobile location expertise for crafting compelling brand stories. I am confident that my background in both data analysis and machine learning will enable me to contribute significantly to your research and development teams, thus enhancing your digital marketing strategies and the technological solutions provided to clients. My strong communication and interpersonal skills, proven through successful collaboration with cross-functional teams, significantly complement my technical abilities, ensuring that complex insights are conveyed with clarity and purpose. I am enthusiastic about applying my skills in a dynamic and innovative environment like Digital Factory, where I can leverage data to drive product development and operational efficiency. Thank you for considering my application. I eagerly look forward to the opportunity to discuss how my experience, skills, and ambitions align with the needs of Digital Factory. I am available at your convenience for an interview. Warm regards, Rahul Kotian