Dưới đây là danh sách top ứng viên Data Scientist đang tìm việc trong Tháng Mười Hai 2024 tại India bạn có tuyển ngay
PhD in Computer Science with 20+ years of experience in Data Engineering, Business Intelligence, Enterprise Architecture, data driven AI Products - SKILLS :-Strategic Planning, ,Solution Design & Architect,COE/ AI Labs Set-Up Artificial intelligence ,Data Ops, Deve Ops, ML & AI Ops,Cloud-first Data Analytics Systems Data Modelling, Data Visualization ,Business Intelligence,Project Management,Digital Transformation/Automations ,Patents & Publications,Cost & Resource Optimisation,Stakeholder / Client Engagements,Business Decision-Making Support,Team Building, Leadership, Trainings, Software Engineering ,Data Engineering - Immediate joiner and CTC per Annum is 87 K USD per annum.. expected is 97 K USD per annum
Technology Leader with 23 years of software engineering experience building high-performing products and engineering organizations setting technology strategy, and building innovative, scalable, and operationally excellent products. • Designing and building SaaS-based consumer-facing, enterprise as well as backend infrastructure services at internet scale, in the cloud. • A Data Leader with experience in building high-quality large-scale distributed systems handling petabyte-scale data focusing on full-stack Data Engineering, Data Analytics, and Data Science coupled with AI/ML. • Ability to sustain a strong culture of innovation and craftsmanship. • Experience in attracting, retaining, and developing top Full-stack Engineers, Data Engineers, Data Scientists, and Engineering Managers.
A visionary AI strategist with 13+ years of impactful experience in data science and multi-domain analytics. Known for pioneering innovation and transformation within top companies. Led high-performing teams, drove groundbreaking projects, and mentored hundreds. Holds an M.Tech from IIT Kanpur, recognized as a gold medalist, with a remarkable history of patents, publications, and accolades. Notice period is 45 days and the current CTC is 1.35 crores (~ $157K) per annum which includes base pay, bonus (20% of base pay (for average performer), and stocks ($ 45k)
Experienced Engineering Director with 13+ years, excelling in large-scale project leadership. Current Director at VISA's Data & AI Platform, overseeing teams in governance, observability, and insights. Skilled in Cloud (GCP, Azure), big data, microservices, AI/ML. Strong track record in team growth, innovation, and strategic collaboration. Holds patents, and innovation awards. The current salary is INR 1.1cr.
2 years exp with MACHINE LEARNING ENGINEER A passionate Machine Learning Engineer with proven experience in Computer Vision, Natural Language Processing (NLP), and Data Mining. Successfully designed, improved, and implemented an entire recommendation engine that serves >250k users.
Senior level BigData Spark Developer with over 10+ years of successful IT experience and over 8+ Years of experience in BigData, Spark, Java, Scala, PySpark and AWS. Recognized consistently for performance excellence and contributions to success in Banking/Finance industry. Strengths in Spark and Scala backed by training in AWS. Reliable Spark Developer with demonstrated history of success and extensive talents in inspections, material estimations and project evaluations. Highly skilled at delivering job proposals and cost estimates. Ready to tackle new challenges with great organization. Technologically savvy and focused BigData Engineer with strong background in advanced data management and troubleshooting skills. Effective in developing and optimizing data systems to meet customer needs. Complex problem-solver with analytical and driven mindset. Dedicated to achieving demanding development objectives according to tight schedules while producing impeccable code.
Expertise in solving various business problems, involving large scale datasets by designing data science solutions using Machine Learning and Deep Learning algorithms in frameworks like Pyspark, ScikitLearn, Pytorch, Tensorflow-and Keras. Hands on experience in managing complete analytics project and involved in all phases of project life cycle.. High interest in closely following technological developments in the marketspace relating to Deep Learning and NLP and in implementing projects to drive the business value.
Software Engineer with 17 years of experience in wide range technologies and handled different roles like Developer, Team lead, Senior Technical lead, Technical Manager.
A result driven data engineer with around 14 years of experience in architecture, design, development and validation of data lakehouse, data warehouse and business intelligence solutions and databases. Vast exposure in resolving issues, improving customer satisfaction, driving overall operational improvements, and interacting with cross teams and customers. Strong experience in requirement gathering, analysis and agile model of product delivery. A team player who can add value to any organization
Languages: Python, SQL, Pyspark,yaml Application tool: MySQL, SQL developer, Oracle, Excel, Qubole, Databricks, Airflow Big data/Hadoop technologies: Hive, Spark,Kafka, NoSQL Cloud technologies: Amazon web services(AWS), Redshift, Glue, EMR, cloud watch Visualization tools: Tableau, Redash Other: Linux, Git, Pandas, Numpy, Matplotlib, Seaborn,sklearn,pyspark.ml, Agile
Highly motivated IT professional with 8+ years of industry experience in Bigdata / Analytics / Data Engineering /Data visualization arena out of 11+ years of total IT experience. An individual who aspires to be a better human every day and is an explorer by heart with an insatiable urge to never stop learning.
Shankar Ravi is an Indian Senior Data Engineer with 7 years of experience working passionately with data. He has a degree in data science and a bachelor's degree in computer applications from a prestigious university in India, the country of tech geniuses.
●Technicals:Python, SQL, Git/GitHub, Excel, PowerBI. ●Knowledge:Regression analysis, Classification, Clusteranalysis. ●Languages:Vietnamese, English.
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
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.
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.
As a detail-oriented and analytical individual with an academic background in Finance and Economics and work experience in a credit company, I am seeking to transition into a data analyst role that leverages my skills and experience. Although my academic background is in Finance and Economics, I have developed a strong interest in data analysis and have pursued relevant coursework and self-study in data analysis to enhance my skills. I am eager to leverage my skills and experience to contribute to a data-driven organization and expand my knowledge in data analysis. With a strong work ethic, quick learning ability, and passion for problem-solving, I am confident that I can excel in a data analyst role.
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.
Programming Skills • Machine Learning : Python, TensorFlow, PyTorch, Scikit-learn, OpenCV, Keras. • Web Development: MERN Stack, HMTL, CSS, JavaScript. • DevOps/MLOps: Docker, Kubernetes, Github Acions, Jenkins, Podman, DVC, MLFlow. • Cloud: AWS, NextCloud, OpenStack. • Others: C/C++, SQL.
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
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
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.
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.
He wants to find a new job related to Data Analysis and desire a good working environment that can develop his abilities