Tomas Lichtensztein

Tomas Lichtensztein

$17.50/hr
Financial and Data Analyst with ML knowledge
Reply rate:
-
Availability:
Full-time (40 hrs/wk)
Age:
34 years old
Location:
Ciudad Autonoma de Buenos Aires, CABA, Argentina
Experience:
6 years
Tomás Lichtensztein 29/04/1991 Polish Citizenship and Passport Born in Buenos Aires, Argentina Argentinian ID Number- Argentinian Cellphone Number -- PROFILE Industrial Engineer currently developing financial services and working as a freelancer with Big Data, Data Analysis and Data Science projects. Worked as Customer Service Manager in an ecommerce company and spent two years in Finland, Norway, Spain and Argentina dealing with Big Data and Risk Management. Spanish, English and French speaker. Won the 2018 edition of Makers BA entrepreneurship contest. Trading, Cryptocurrency and Artificial Intelligence enthusiast. CAREER Data Scientist and Big data Engineer 2019 p r e s e n t . Freelancer F i n ko 2 0 1 8 - p r e s e n t . Financial Entrepreneur. E m p o r i o C o m m e r c e 2 0 1 6 - 2 0 1 8 . E-Commerce start up. • Processes analyst. Development of tailor-made solutions for vast company areas. Built the finance area of the company. • Responsible for the efficiency of customer service area. • Customer service manager, in charge of a team of 26 people aimed at giving the best service at the lowest cost. M a n a g e m e n t S o l u t i o n s-. Consulting company specialized in building risk models for banks. • One task consisted in the automation of the forecast process of Banco Galicia. • Another task consisted in the creation of a huge model that centralized information from the whole Credits area from that bank. • The third task was to arrange meetings with further resources from the Reporting area of Telefonica and provide improvements for the process. The final one was to build Risk metrics and reports to the Bassel Committee in Santander Nordics (Finland and Norway). PROFESSIONAL SKILLS B u s i n e s s I n t e l l i g e n c e Creation of database exploitation models using Teradata, Microsoft SQL Server, Qlikview, IBM Cognos, PowerBI and Tableau D a t a M i n i n g Creation of predictive models using SAS Raroc, Pricing and Economic Capital Risk Management M i c r o s o f t O f f i c e Perfect knowledge, including Access Visual Basic SQL Python SAS Oracle Financial skills Modern portfolio theor y A r t i f i c i a l I n t e l l i g e n c e Building neural networks in Python C r y p t o c u r r e n c i e s a n d B l o c kc h a i n Day-trading Machine Learning Te n s o r - F l o w Scikit-Learn AW S Java Pig Hive Haadoop Spark NLP (Natural Language Processing) NOSQL MongoDB ETL Google Analytics G o o g l e Ta g M a n a g e r Google Spreadsheets (Scripts) Excel (macros/VBA) Google Data Studio E D U C AT I O N I T B A- Industrial Engineer, GPA 7.23/10 Never failed subjects L o u v a i n S c h o o l o f M a n a g e m e n t 2012 Louvain-La-Neuve, Belgium. Half an year exchange organized by ITBA and LSM Escuela Superior de Comercio Carlos Pellegrini- Comercial Degree and best average (8.60/10) B u e n o s A i r e s E n g l i s h H i g h S c h o o l- Bilingual Primary School. One of the top three averages. ONLINE COURSES A n a l y z i n g D a t a w i t h P y t h o n IBM Implementing Predictive Analytics with Spark in A z u r e H D I n s i g h t Microsoft Implementing Real-Time Analytics with Hadoop i n A z u r e H D I n s i g h t Microsoft Introduction to NoSQL Data Solutions Microsoft L e a r n t o P r o g r a m i n J a v a Microsoft Principles of Machine Learning: Python Edition Microsoft Processing Big Data with Hadoop in Azure H D I n s i g h t Microsoft P y t h o n B a s i c s f o r D a t a S c i e n c e IBM V i s u a l i z i n g D a t a w i t h P y t h o n IBM Learn ETL using SSIS LANGUAGES S p a n i s h Mother language E n g l i s h Proficiency level • International House -); Certificate in Advanced English (CAE, Cambridge University) in 2006 • Buenos Aires English High School -) Bilingual Primary School and Kindergarten ; passed with merit Preliminary English Test (PET, Cambridge University) in 2003; passed Key English Test (KET, Cambridge University) in 2001 F r e n c h Intermediate level (Excellent fluency) • L'Institut des langues vivantes de l'UCL 2012 Louvain-LaNeuve, Belgium, passed with merit levels A1 and A2 P o r t u g u e s e Intermediate Level • Language Institute of UBA Passed with merit A1 and A2 HOBBIES Soccer Hanging out with friends Swimming Going to the gym Environmental Campaign Politics Tr a d i n g Vo l u n t e e r i n g Bartending Cooking Reading about cryptocurrencies Artificial Intelligence
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