<prompt> Hlahisa tlhahiso-pele bakeng sa rasaense ea data.nan  <response>: Instruction in English: Generate a resumé for a data scientist. . Response in English: Patrick SmithData ScientistNew York, NY 10001 123 456-7890SummaryHighly analytical and experienced data scientist with great problem-solving skills, ability to work independently and in a team, excellent communication and presentation abilities. Possesses over 6 years of experience developing predictive models, customer segmentation, data mining and visualization. In search of a challenging role as a Data Scientist at a dynamic organization.Education Masters Degree in Data ScienceColumbia University, New York 2015 - 2017Bachelors Degree in Computer ScienceNew York University, New York 2011 - 2015Professional ExperienceData ScientistABC Company, New York June 2017 - Present- Developed and implemented predictive models to identify customer behavior and improved the customer service.- Conducted AB testing for new features evaluation.- Designed and created dashboards for data visualization to present to upper management.Data Analyst InternXYZ Company, New York June 2016 - August 2016- Assisted the data science team in developing and validating machine learning models.- Conducted data cleaning, pre-processing, wrangling and data mining.- Assisted in the creation of customer segmentation models.Technical Skills- Strong knowledge in statistics, machine learning and data mining.- Proficient in Python, R, SQL.- Experience with data visualization tools such as Tableau and Power BI.- Familiarity with big data technologies like Spark and Hadoop.Professional Skills- Excellent communication and presentation ability.- Results-driven and detail-oriented approach.- Ability to work independently and manage multiple projects.- Team player with great collaboration and project management skills.Certifications- Certified Analytics Professional CAP.- Data Science with Python in DataCamp.- Big Data Fundamentals on IBM. . Response in Sesotho: Patrick Smith Setsebi sa Mahlale New York, NY 10001 123 456-7890 Kakaretso Rasaense oa data ea hlahlobisisang le ea nang le boiphihlelo ea nang le litsebo tse kholo tsa ho rarolla mathata, bokhoni ba ho sebetsa ka boikemelo le ka sehlopha, bokhoni bo botle ba puisano le tlhahiso. E na le boiphihlelo ba lilemo tse fetang 6 ba ho ntsetsapele mehlala ea bonohe, karohano ea bareki, meepo ea data le pono. Ho batla karolo e phephetsang joalo ka Data Scientist mokhatlong o matla. Tekanyo ea Monghali oa Thuto ho Data Science Columbia University, New York 2015 - 2017 Bachelors Degree in Computer Science New York University, New York 2011 - 2015 Boiphihlelo ba Setsebi Setsebi sa Boitsebiso Khamphani ea ABC, New York Phuptjane 2017 - Hona joale - E ntlafalitse le ho kengoa tsebetsong mekhoa ea ho bolela esale pele ho khetholla boitšoaro ba bareki le ho ntlafatsa litšebeletso tsa bareki. - E entsoe tlhahlobo ea AB bakeng sa tlhahlobo ea likarolo tse ncha. - Li-dashboards tse etselitsoeng le tse entsoeng bakeng sa pono ea data ho hlahisa taolo e holimo. Mohlahlobi oa Boitsebiso oa Intern Khamphani ea XYZ, New York Phuptjane 2016 - Phato 2016 - E thusitse sehlopha sa mahlale a data ho ntsetsapele le ho netefatsa mefuta ea ho ithuta ka mochini. - Ho hloekisoa ha data, ho lokisa esale pele, ho qabana le ho rafa ha data. - E thusitsoe ho theha mefuta ea likarolo tsa bareki. Tsebo ea Tekheniki - Tsebo e matla lipalo-palo, ho ithuta ka mochini le ho rafa ha data. - E tseba ho Python, R, SQL. - Boiphihlelo ka lisebelisoa tsa pono ea data joalo ka Tableau le Power BI. - Ho tloaelana le mahlale a maholo a data joalo ka Spark le Hadoop. Bokgoni ba Seporofeshenale - Bokgoni bo botle ba puisano le nehelano. - Mokhoa o itšetlehileng ka liphetho le lintlha tse qaqileng. - Bokhoni ba ho sebetsa u le mong le ho laola merero e mengata. - Sebapali sa sehlopha se nang le tšebelisano e ntle haholo le bokhoni ba ho tsamaisa merero. Litifikeiti - Setsebi se netefalitsoeng sa Analytics CAP. - Saense ea data e nang le Python ho DataCamp. - Lintlha tse kholo tsa data ho IBM. 