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Senior BI/Data Analytics Consultant, a committed software engineer who seeks to develop elegant solutions to business challenges. My driving force is the passion that pushes me to seek new heights and keep learning the latest ideas, platforms, frameworks, tools, and best practices. I believe in a world of personal and professional growth for all of us and in this spirit, I am always ready to learn and offer to share my expertise as a mentor and a Codementor.
I am a Senior Backend Engineer at Tier Mobility SE based in Munich, Germany. Before moving to Berlin, I was an Assistant Tech Lead at Adacta Fintech based in Slovenia spearheading the development of insurance solutions for Europe-based companies such as the Sava and DVA Insurance while honing my skills as a full-stack engineer. Before plunging into software development, I was a Machine Learning Engineer at Zemanta, an Outbrain Company where my day-to-day work involved implementing and analyzing the real-time machine algorithms and integrating them with the bidder infrastructure. Before moving to Slovenia, I worked as a Product Engineer at Sprinklr, India where I was involved in implementing the machine learning module in the data flow execution pipeline using Kafka, Spark, and Spring frameworks.
I have over 25 years experience working in the software industry in various roles. I am a full-stack engineer experienced in building high-volume, low-latency, and highly-available systems. Although I'm comfortable programming in 15 languages, I primarily work with Javascript/Typescript and occasionally with Python. **Here are some of the areas/technologies I work with:** - NodeJS - React - Javascript - Typescript - Electron - GraphQL - Debugging - Search - Software Architecture - Data Structures - Algorithms - Teaching - Web Data Connectors for Tableau
Total experience: 7 years. Tech stack: Golang, C/C++, Typescript, Python, React, React Native, Docker, GCP, AWS, Terraform, bash, git, OpenAPI, RESTful APIs, microservices. Education: Computer Science from University of Waterloo (Canada) Experiences: 2016-2021: Cisco Systems Inc. Designed and implemented software for Cisco's flagship routers and enterprise switches. Worked with protocols such as BGP, EVPN, VPN, PWHE, MPLS, IPv4, IPv6, LISP, BFD, Openflow, etc. 2021-current: Working with startup company Synctera to help them building Banking-as-a-Service platform. I am responsible for designing and implementing public backend APIs in Go and OpenAPI spec.
Hi! I am an experienced *Data Scientist* and *Python programmer* that works with **Pandas**, **Numpy**, **Scipy**, **Matplotlib**, **Pydeck**, **SQLAlchemy**, **Snowflake**, and **Selenium**, among other libraries, on a daily basis. I also have experience with **AWS** through the console and interacting with it using **boto3** and **awswrangler**. I have a Ph.D. in *Mathematical Optimization* and love to solve challenging problems. Let me know how I can help you!
I am Shubham Dokania, Ex-Research Scientist at Mercedes-Benz R&D. My main area of work includes, but not limited to, deep learning for computer vision and artificial intelligence. https://shubham1810.github.io
Hi there, I'm working on back-end systems, machine learning, data analysis at Equisense, a startup bringing IoT and advanced analytics to horse-riding.
rust ruby fsharp linux docker sql ocaml prolog xml Concurrency, data, algorithms, networking. Being married and a father of teenagers has given me ample opportunity to become good at listening and helping. I love the way a person's eyes light up when they have an aha moment.
Teaching and applying science is my passion. I have a BSc in Applied Mathematics. During my studies in university I worked as a Teacher Assistant in courses as Intermediate Economics and Probability; but also courses for scientific programming in R. Actually I am partner of a Data Science company, Datata (http://www.datata.mx) where we work with projects that require great ability and expertise in web development, databases, statistics and scientific programming.
I am a Machine Learning developer and Data scientist Team Lead. I am use R, Python, Julia, and Scala daily and have extensive experience with machine learning both at a user-level and at a developer level. I develop a number of popular data science/machine learning open-source packages including diskframe.com - a larger-than-RAM data manipulation framework in R and JLBoost.jl - a hackable gradient tree-boosting library and XGBoost-like in pure-Julia. I have been working in the finance industry for over 10 years specializing in building credit risk models using Julia, R, and SAS. I have lead projects in provisioning (IFRS9), stress testing, capital (Basel II/III), and application/behavioural scorecards. I hold a Master of Statistics and a first-class honours degree in mathematics.
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