Janani Mylswamy

Data Scientist

Melbourne, Victoria, Australia1 yr 3 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Expert in building ETL pipelines and automating workflows.
Proven ability to deliver actionable insights from complex data.
Strong foundation in Machine Learning and Artificial Intelligence.

Stackforce AI infers this person is a Data Engineering and Machine Learning specialist with a focus on actionable insights.

Contact

Skills

Core Skills

Data AnalysisData EngineeringMachine LearningComputer NetworksArtificial Intelligence

Other Skills

AirflowAmazon AthenaAmazon Web Services (AWS)BigQueryCC#C++DBTData LoadingData ManipulationData MiningDatabasesDeep LearningDockerEnglish

About

Master of Information Technology (AI) graduate with 3+ years experience in Python, SQL, and data engineering. Skilled in data analysis, visualisation, and reporting, with expertise in building ETL pipelines, automating workflows, and delivering software solutions that turn complex data into actionable insights

Experience

1 yr 3 mos

Total Experience

9 mos

Average Tenure

Current Experience

Anca cnc machines

Data Analyst Intern

Jul 2024 – Nov 2024 · 4 mos · Melbourne, Victoria, Australia · On-site

Developed Python scripts to convert 10,000+ unstructured log files into structured CSV formats, automating pipelines and reducing manual processing time by 90%
Researched platforms (Snowflake, InfluxDB, MySQL) and implemented a proof-of-concept with 1,000+ datasets in MySQL, facilitating faster query execution through optimised SQL scripts
Designed interactive Power BI dashboards to highlight data insights, identifying critical machine issues and optimising logging features, increasing operational efficiency by 30%

PythonSQLMySQLPower BIData AnalysisData Engineering

Arcana

Data Analyst Intern

Jul 2022 – Jun 2023 · 11 mos · New York, United States · Remote

Analysed terabytes of Web3 data from 300+ blockchains using SQL and BigQuery, delivering
insights for 3,500+ protocols and billions in TVL data
Constructed Python and SQL queries to trace behaviour of 1M+ developers, transforming raw
data into actionable insights for strategic decisions
Leveraged REST APIs and DBT to scrape and analyse blockchain data, boosting workflow
efficiency by 40% and delivering actionable insights within tight deadlines through agile
methodologies and effective team collaboration

PythonSQLBigQueryDBTData AnalysisData Engineering

National university of singapore

Academic Intern - Machine Learning

Jun 2022 – Jun 2022 · 0 mo · Singapore · On-site

Completed an academic internship program at NUS, specializing in Machine Learning, and
gained practical expertise in developing and refining supervised and unsupervised models,
achieving over 80% accuracy in predictive tasks

PythonMachine LearningDeep Learning

Hewlett packard enterprise

Academic Intern - AI and App Development

Jun 2022 – Jun 2022 · 0 mo · Singapore · On-site

Learned about neural networks and AI ethics during the internship at HPE. Explored the ethical implications of AI technologies and their integration into business practices.
Collaborated to a team project on Eye Motion Detection for Paralysed Patients, aimed at
enhancing communication through eye motion tracking by attaining over 80% accuracy
through ML modelling and app development

PythonMachine LearningDeep LearningArtificial Intelligence

Samsung india

Virtual Intern (PRISM) - Machine Learning

May 2022 – Jan 2023 · 8 mos · Remote

Designed and implemented an ML model for video text tracking, processing thousands of
video frames to enable automated text transcription with over 90% accuracy, following agile
practices for efficient delivery
Optimised algorithms utilising CV2 and Tesseract, improving text detection speed by 30% and
enhancing video processing capabilities for real-world applications

Pythoncv2TesseractMachine Learning

Rochester institute of technology

Research Intern - Computer Networks

Feb 2022 – Sep 2022 · 7 mos · New York, United States · Remote

Involved in developing the Mesh Tree Protocol, reducing network latency by 30% and improving
communication efficiency across interconnected devices
Coded in C and Python to enhance reliability, achieving a 20% reduction in packet loss using
GENI simulation environments

PythonCC++GENIComputer Networks