... along with maintaining the existing ones. Candidate Profile - 1 year of experience in Business Intelligence & Data Visualization. - 1 year of experience VBA and Excel. - Basic technical knowledge about best practices in VBA automation. - Understanding of data modelling techniques, meta data preparation, types of mapping etc. ...
... - Closed source LLMs such as Open AI GPT, Azure Open AI, Claude, Gemini etc - Understand business problems and translate them into AI/ML solutions. - Perform data collection, preprocessing, feature engineering, and exploratory data analysis. - Develop supervised and unsupervised machine learning models. - Design and optimize ...
... experience in developing and fine-tuning deep learning models using TensorFlow, PyTorch, and Hugging Face libraries.- Proven ability to manage and process massive datasets within a Hadoop ecosystem, optimizing queries for performance and scalability.- Excellent problem-solving skills with the ability to communicate complex technical ...
... Advanced modelling, strategic planning, and data architecture understanding. Identifying data sources, both internal and external, and working out a plan for data management that is aligned with organizational data strategy. Expert understanding of advanced MS Excel, database management systems, EDA, ETL tools, data models, ...
... Required skills and qualifications: - Excellent written and verbal communication skills - Great analytical, critical thinking and problem-solving abilities - Excellent skills on PL/SQL and good exposure to data transformation language like python - knowledge of AWS, Java Basic, API, databases - 5 or more years of Data Analyst ...
... quality tools to ensure the accuracy, consistency, and reliability of data. Work on large data projects and able to manage client requirements, solution and data quality. Requirements: - 10+ years proficiency in SQL for data querying, manipulation, and analysis. - Expert in using MS Excel for complex data analysis and ...
... hands-on experience in ML libraries (scikit-learn, XGBoost, TensorFlow, etc.). Expert knowledge of SQL and working with relational databases. Proven experience with data wrangling, data pipelines, and ETL processes. Deep Understanding of AI Tools for Data Analytics (Experience with several of the following is required): Data Preparation ...
... Advanced modelling, strategic planning, and data architecture understanding. Identifying data sources, both internal and external, and working out a plan for data management that is aligned with organizational data strategy. Expert understanding of advanced MS Excel, database management systems, EDA, ETL tools, data models, ...
... factual accuracy, or comparing responses — when projects are available. While each project involves unique tasks, contributors may: - Carefully review provided data (text, images, or videos); - Label or classify content based on project guidelines; - Identify and flag factually incorrect, sensitive, inappropriate, or unclear ...
... are produced in a timely manner. Actively participate & contribute to the team in improving processes, productivity & quality of service maximizing efficiency. Excellent teamwork and leadership skills. - Analytical skills, with ability to recognize areas for development. Excellent verbal and written communication skills. ...
... supervised, unsupervised, and reinforcement learning methods where relevant.- Time Series Analysis : Conduct forecasting and trend analysis for marketing and sales data.- Leadership : Mentor junior data scientists, set modeling standards, and ensure delivery excellence.- Collaboration : Work closely with marketing, product, and ...
... Scikit-learn / TensorFlow / PyTorch. Hands-on experience with Microsoft Excel and PowerPoint is needed Working knowledge of Gen AI would be an added advantage. Strong experience of developing AI & Machine Learning solutions on cloud platforms like AWS Familiarity with data platform like SnowFlake would be an added advantage.
... airports, infrastructure and border checkpoints. It brings all security operation information together onto a single, integrated and secure platform to achieve 100% data inspection of all cases. Using insights produced through machine learning, artificial intelligence (AI) and data science, our platform enables people to make ...
... solutioning for RFPs, pre-sales, and client workshops - Drive AI innovation and roadmap contributions within Newgen's product suite - Mentor and lead a team of data scientists Skills & Experience: - Strong exposure to LLMs, RAG, agent frameworks, orchestration patterns - Solid foundation in machine learning and data science ...
... pipelines using dbt Core (self-hosted via Cloud Run) and BigQuery. Program and orchestrate serverless data flows using GCP Cloud Functions, Cloud Scheduler, and Dataflow (Python). Data Modeling & SQL Excellence: Develop complex, maintainable SQL solutions and perform advanced data modeling (partitioning, clustering) in BigQuery ...
... Design statistical forecasting and optimization models to support business planning and decision-making. Ingest and process large volumes of data from APIs, databases, and structured/unstructured sources. Perform data transformation, feature engineering, and advanced analytics using PySpark and SQL on Databricks. Leverage ...
We are looking for a skilled Data Engineer with strong experience in Python and AWS cloud technologies. The ideal candidate should have hands-on knowledge of building automation frameworks, managing test scripts, and working with various AWS services. This role requires good technical understanding, strong problem-solving ...
... Data Engineering, Data Science, and Machine Learning teams.- Strong understanding of performance optimization, scalability, cost optimization, and tuning of Databricks and Spark workloads for enterprise-scale data platforms.- Excellent consulting, problem-solving, stakeholder management, and communication skills, with ...
... Computer Science, Information Systems, Data Analytics, or related field. Experience: Minimum 5 years in data analysis, reporting, or business intelligence roles. Proficiency in Tableau, Power BI, or Grafana. Strong knowledge of SQL, data modeling, and relational databases. Familiarity with ETL processes and data pipelines.