A driven and detail-oriented data science professional eager to learn and expand skills. Experienced in data analysis, problem-solving, and collaborating effectively within agile team environments. Proficient in Python, SQL, and Microsoft Office tools, with a foundational understanding of data analysis and statistical methods. Strong communicator and critical thinker, capable of working independently and taking the initiative in complex analytical tasks.
Primary Skills
Programming Languages: Python, R, with experience in scripting and automation
Data Processing: ETL, Spark for large-scale data processing, proficient in Microsoft Excel for data reporting and analysis
Cloud Services: AWS (Lambda, S3, EC2, CloudWatch), Azure, with knowledge of IT delivery methods
API Development: REST API, Oauth2, JWT
Statistical Analysis Tools: Familiar with SPSS, Minitab for statistical analysis, and foundational knowledge of business process mapping and basic systems analysis
Database Management: MySQL, Redis, MongoDB
Web Development: HTML, CSS, Flask, Fast API
Lean Six Sigma: Understanding of Lean Six Sigma principles for process optimization
Tools: PyCharm, Postman, FileZilla, MySQL Workbench, Tableau for data visualization and storytelling
Others: JSON, Pickle, Git, Linux, Java Basics, and strong proficiency in Microsoft Word and PowerPoint for report and presentation development
Data Science Skills
Data Analysis and Synthesis
Statistical Programming with R
Machine Learning (Supervised, Unsupervised, Reinforcement Learning, Deep Learning)
Big Data and Cloud Computing (Hadoop, Advanced Statistical Processing)
Advanced Database Management (NoSQL, Data Warehousing, Data Quality Management)
· English - Fluent
· Hindi - Fluent
· Urdu - Native speaker
· kannada - Fluent