Here are the top Data Engineer available for hire in Jakarta in December 2024
• Maintenance of network system for hpe aruba and cisco. • Migration to AWS Cloud for ERP (Epicor Apps 10) from onprems • Deployment fortigate firewall 400e, 200e and 60e series. • experience Cisco Call Manager 6.0, Yeastar and avaya ip office • experience maintemance VoIP and VPN system between Singapore and Batam. • experience maintenance, Create, configure the server windows server 2003 till 2022 as system AD and all feature of Windows • experience configuring mail server using qmail running up on Centos. • experience configuring and maintenance vmware esxi 6.0 • experience deployment of SAN, Fortigate, and VMWare • Experience maintenance veeam backup software
A dynamic professional utilizes the creativity, leadership, and teamwork to design and execute solution that creates high value for clients. Solve the different problems based on my knowledge & comes with a reasonable solution which are fruitful for the organization in which I belong. Continuously update the knowledge & have high degree of accuracy and attention to detail. Have high degree of analytical skill with various advanced statistical application software and sound knowledge on high value data mining with validation. Overall Experience: 8 years Professional Experience Deputy Manager||-Data Science, Tata Insights & Quants, Jajpur Road, Orissa, Mar’ 19- Present
7 years of experience as DevOps Engineer With Backend experienced.
Industrial Technology Research Institute. Machine Learning Engineer 2017-2020. Develop machine learning solutions for a wide range of industrial sectors. The process is the end-toend development stage, from RnD to deployment. Mathematical, theoretical, and approaches are tightly related to my day to day job, from data analyst to product deployment. He uses state-of-the-art technology including Pytorch, Tensorflow, Spark, Hadoop, and many others. Metra Digital Media as Senior Data Science 2015-2017. Traveloka as Data Science 2014-2015. Accenture Indonesia as System and Business Integration (internship) 2014.
Geographic Information System (9/10). Spatial Analysis (9/10). Python Programming Language (7/10). Data Science (8/10). Machine Learning (7/10). Data Visualization (9/10). SQL (8/10).
- Machine Learning and Deep Learning Trainer for several University, Company, and Organization - Researcher of Active Intelligent and System Laboratory (AISL) Toyohashi Gikadai, using commercial service robot ENON, collaboration with FUJITSU Ltd., supported by NEDO (New Energy and Industrial Technology Development Organization, Japan) 2011. - Researcher of Service Robot for Medical, supported by Fukushima Medical University (FMU), 2013. - Researcher of Simulator Development for Nursing Home Facilities, 2014. - Principal researcher of Simulator Development for Human Action Recognition, 2014-2015. - Head researcher of Advanced Driver Assistance Systems, AUN Seed Net/JICA, 2016-2017 - AI research scientist, Nodeflux, 2019 - Camshaft Crack Detection, Musashi Auto Parts, 2020 - AutoML Development, Astra Digital, 2020 - ML Analytics for Insurance, BNI Life, 2021
Based on my experience as data analyst, the demand to be able to learn on the fly, deliver accurate data analysis, customer focus and support, Business acumen, CAPAIA (Correction Action, Preventive Action, Improvement Action), coordination, multitasking, simplify process complex data into simple & actionable insights are a soft skill I’ve learned so far. As a Data analyst, I can support business by giving insight through a thorough analysis &on points to stake holders, by implementing these, as follows: - Designing dashboard KPIs, that address the most important thing, with a strong indicator chart & easy to understand - Data munging and apply statistics analysis to deliver insights to stake holders - Complex dynamic formula, pivots & charts to support business calculation model - Creating template/form for automation/macro/vba codes using Ms. Excel. - Connect SQL query to Ms. Excel, power BI/Tableau, python to be analyzed further. - Python data analysis using Jupyter notebook
A Data Analyst who is enthusiastic about machine learning. A capable manager, having led various organisations. Solid analytical, organisational, and data mining skills. Proficient in a range of programming, databases, data analytics and dashboard tools.
Programming Languages: Python, Java, C#/C++, R, SQL/NoSQL, JavaScript Research Areas: Artificial Intelligence, Machine Learning, Genetic Analysis, Big Data, Distributed Computing Technologies: AWS, Azure, Google Cloud API, Apache Airflow, NLP, CNN, RNN, Scikit-Learn, Keras, Pytorch, TensorFlow, Apache Spark, Argo • Promoted a culture of continuous improvement within the team (self, team members, and stories) • Matrix-managed a multidisciplinary team • Proven experience balancing multiple priorities and a sense of urgency. • Highly results-driven, with the energy and determination to succeed
Experienced Marketing Planner with 1 year of experience in strategic planning, data analysis, and project management. Highly skilled in leveraging digital tools and analytics to drive growth and increase ROI. Proven track record of creating and executing integrated marketing campaigns. Applying for the position of Business Development Associate at Multisig Ventures
Technology professional with over 5 years of software engineering experience in the finance, automotive and digital entertainment sectors. Proficient in managing and developing projects using Python and C++ in agile environments. Able to pick up new technologies independently to deliver elegant, efficient and effective solutions to business problems.
An Investment Analyst with nearly four year of experience in audit and investment. I have had opportunities to work with a variety of clients, understand their business and working environment in real estate, commercial, manufacturing and logistics sectors. I also have had the understanding of financial statements, financial modeling and advanced knowledge of Excel with large quantities of data relevant to business tasks. I am seeking a new role in which I can use my analytical and quantitative skills to support clients.
A self-learned, technical-oriented data enthusiast with minor experience in the fintech and social media industry. Experienced in data cleaning and data scraping as well as writing scripts to automate repetitive tasks for internal usages.
Solid Experience as Data Analyst/ Engineer. With proven record and ability to solve problems.
5+ years experience Data Scientist. Familiar with Python, SQL, Database, AWS, API etc. IELTS 7.0, excellent English
5+ years experience Data Analyst. Conducting reports for million users, support deploy by Python, SQL, VB, JavaScript, Google BigQuery, Apache Airflow, SAP. His english is intermediate
4+ years experience working with data, DAGs on Airflow, maintaining dashboards, Google Cloud, Big Query, Python, iOT, AI, Algorithms
3+ years experience Data Scientist. Tech skills: Power BI, SWL, Python, Google Cloud Platform, Big Query, Colab Notebooks, Data analyst, Azure. Can speak both French & English
* VNG ● From: May 11, 2022 – now ● Company: VNG (VNG Cloud) ● Title Senior System Engineer * ITD ● From: June 01, 2021 – April 22, 2022 ● Company : ITD ● Title: Senior System Engineer * CODE88 ● From:June 21, 2020 – June 01, 2021 ● Company: Code88 ● Title:System Engineer
As a data professional, I leverage Tableau, QlikView, Python, SQL, and Alteryx to create impactful dashboards for leadership and GTI stakeholders. My expertise lies in collaborating with various GTI teams to conduct root cause analysis, present strategic problem-solving recommendations, and convey key messages through data storytelling. I prioritize data quality assessment and ensure the integrity and accuracy of analysis. I also excel in developing process flows for strategic initiatives and automation solutions. Working closely with stakeholders, I gather requirements for key business metrics, visualizations, and delivery, enabling actionable insights. Effective communication of recommendations and status updates to stakeholders is a vital aspect of my role, ensuring that BI and data needs are met. Additionally, I possess project management skills and experience, ensuring successful execution of data-related projects.
Seasoned data professional with strong Data Monetization, AI/Machine Learning, Data Warehousing, and RDBMS background. Proven track record in utilizing technical expertise to improve business efficiency and profitability.
Experienced Data Scientist with a passion for exploring the potential of Language Models (LLMs) and Vision Transformers (ViTs). As a recent graduate from NYU, I am eager to contribute my expertise in a dynamic and collaborative work environment, where I can tackle challenging tasks head-on. I bring a wealth of skills to leverage in delivering impactful solutions.
I am a ms student advised Huan Sun in ohio state university. My research mainly focuses on deep learning and its applications in Recommendation (3 papers in SIGIR 2020, 2021) and Natural Language Processing (1 paper in AAAI 2022). I am enthusiastic about tackling the real-world problem by using NLP technology and develop the program to apply ML/DL technology. Recently, I am doing the research on fake detection method on the social media. Publications: 1 C.-Y. Tai (1st author), M.-Y.Li, L.-W. Ku. Hyperbolic Disentangled Representation for Fine-Grained Aspect Extraction. AAAI Conference, 2022. 2 C.-Y. Tai (1st author), C.-K.Hua, L.-Y. Hua, L.-W. Ku. Knowledge Based Hyperbolic Propagation. International ACM SIGIR Conference, 2021. 3 C.-Y. Tai (1st author), L.-Y. Hua, C.-K.Hua, L.-W. Ku.. User-Centric Path Reasoning towards Explainable Recommendation. International ACM SIGIR Conference, 2021. 4. 1st author - MVIN: Learning Multiview Items for Recommendation (KG-aware GNN-based recommen
Extensive work on the machine learning and deep learning techniques to help companies arrive at data-driven solutions. Deliver optimized, scalable and explainable machine learning models for production use cases. Worked on technologies like Python, scala, apache spark, Tensorflow, pandas, scikit, and large scale data science products
Versatile data professional with extensive experience in the modern data stack,including cloud platforms (GCP, AWS), cloud service providers (Fivetran, Stitch, Airbyte, DBT, Snow.ake), data modeling, and data pipeline stages. Proven track record in implementing data-driven solutions across various industries, such as retail, mobility, and finance, to optimize business performance.Strong expertise in machine learning, statistical modeling, and web development technologies, as well as soft skills in communication, leadership, and problem-solving . Seeking opportunities to leverage my diverse skill set and expertise to drive innovation and generate valuable insights for organizations
OBJECTIVE Artificial intelligence, Machine Learning, Deep Learning, Natural Language Processing, Speech Recognition
1- I'm flexible on salary requirements and open to discussing compensation based on the details of the role. At this stage, I'm more interested in finding the right fit where I can fully utilize my background in AI/ML and make a meaningful impact. 2- I've always had a passion for AI and programming. It is like a hobby for me, and I believe that with AI and programming, you can accomplish anything and drive innovation. This role appeals to me because it would allow me to apply my expertise in leading complex AI initiatives from ideation to deployment. I'm motivated by the chance to build innovative solutions that drive business value. 3- Here are some highlights of my relevant AI projects: - Stock Prediction via FastAPI & Twitter Sentiment Analysis: --Developed a FastAPI pipeline to predict stock price fluctuations, focusing on commodities like gold, using Twitter sentiment analysis. --Trained a model for stock market predictions, collected data via Apache Kafka, and used various pred
• Highly skilled in designing, testing, and architect software • Thorough knowledge of data structures and algorithms • Knowledgeable of back-end development best practices, distributed system, computer architectures, database, system integration. • Hands-on software troubleshooting experience • Proven track record of proper documentation for future maintenance and upgrades And these are all domains I have worked with • loT • E-Commerce • Cataloging system • Start-up products • Machine packaging domain • Supply Chain • Multi services authentication • Distributed system • Large scale system
Learning new technologies is what I am passionate about. I'm also a good member in a team because I like share and learn other, so I tend to work well within groups. Now, I am looking for an opportunity to be exposed to and work with new technologies to improve and develop myself.
Data analyst with wide experience in manufacturing area, specify for analyzing cost, supply chain structure, process and product design. Also, I'm a project manager with experience on End-to-End implementation. Eager to learn new things on multiple areas and fascinated with data. I'm influent in python, power BI, excel with pivot and my reports by PPT will please customers.
As a Data Engineering, I am not just preparing data to make the report. I know how to make a story from data, solving the problems of the business base on collected data. So, I help business owners listen to their stories, and make consult with the best operators.
My objective is to contribute my technical expertise and passion for creating engaging user experiences to an innovative tech company. I am motivated to learn and grow in a collaborative environment and seek challenging projects that expand my skill set. I have 2 years of experience in front-end development using ReactJS, 1 year of experience in NextJS, proficiency in related technologies such as Redux, GraphQL, and HTML/CSS/JavaScript, and proficiency in Figma for UI/UX design. Additionally, I am skilled in back-end development using NodeJS (ExpressJS), MongoDB, Restful API, and Strapi.
An IIT Graduate, Chief Data Scientist Have significant expertise in leading and executing Machine Learning & Analytics projects & building strategies based on insights. Worked across Industries spanning Private Equity, Financial Services, Retail, Online lenders, Marketing etc. Proficient in building Machine Learning models, Segmentation models, Strategy designing, Data Exploration & Data Visualization.
- Unit Head of Analytics and Portfolio Management at FE Credits - Tech stack: SQL, Power Bi, Tableau, Spark, Python, Airflow
He wants to find a new job related to Data Analysis and desire a good working environment that can develop his abilities
- 5 years of experience in software engineer - Techstack: Nodejs, Python, Typescript, Golang, Reactjs, Java, AWS - Fluent English