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Blockchain • Fintech • Software • Cryptocurrency • Metaverse
Analyze large-scale on-chain data to detect anomalous transactions, develop detection mechanisms and risk monitoring frameworks, apply supervised and unsupervised ML, identify malicious accounts via community-discovery algorithms, and design integrated on-chain/off-chain prevention and control systems.
Top Skills:
BlockchainData MiningFlinkMachine LearningOn-Chain DataPythonSparkSQL
Enterprise Web
Perform data extraction, analysis, and dashboarding to deliver decision-ready insights. Maintain data quality and monitor ETL pipelines. Use AI assistants to accelerate SQL, cleaning, and reporting. Automate reports with Python/Apps Script and present findings to cross-functional and executive stakeholders.
Top Skills:
Amazon RedshiftAPIsApps ScriptAws GlueBigQueryClaudeCloudwatchElasticsearchExcelGeminiGoogle SheetsIamMetabasePandasPower BIPysparkPythonRdsS3Secrets ManagerSnowflakeSQLTableau
Information Technology • Professional Services • Consulting • Manufacturing
Remote internship supporting business teams to collect, clean, analyze data, apply statistical techniques, and build dashboards. Work with managers to prioritize information needs, present insights, participate in reviews, and deliver weekly project outputs over a 4–16 week program.
Top Skills:
MoodleZoho One
Design, clean, analyze, and visualize data using SQL and Python; build Tableau dashboards; apply statistics and basic ML/DS concepts; follow software/data-engineering practices (version control, unit testing, high-performance code); work with structured and unstructured data and cloud environments.
Skill: Data Analyst
Exp- 4-6 years
Location- Hybrid/Remote
Job description:
• SQL DDL and DML skills on structured and non-structured data base
• Python- Coding for data parsing, manipulation, aggregation and insight generation
• Good working knowledge of Statistics and sample methodologies
• Dashboard design and development in Tableau
Problem Solving
• Understanding the Problem
• Data Cleaning and Preparation
• Data Interpretation
• Data Visualization
• Basics of DS / ML
• Good working knowledge of Advanced Analytics,
• Basics understanding of DS / ML
• Exposure to cloud computing
• Software Engineering / Data Engineering Fundamentals
• Basic software design principals
• Unit testing
• Version control
• High performance code to work at scale
What you need to know about the Bengaluru Tech Scene
Dubbed the "Silicon Valley of India," Bengaluru has emerged as the nation's leading hub for information technology and a go-to destination for startups. Home to tech giants like ISRO, Infosys, Wipro and HAL, the city attracts and cultivates a rich pool of tech talent, supported by numerous educational and research institutions including the Indian Institute of Science, Bangalore Institute of Technology, and the International Institute of Information Technology.
