Accountabilities:

• Gather requirements of Data Projects
• Collect, Clean, Process data from various sources
• Apply advanced analytics & ML models
• Identify and analyze problems in the analytical framework
• Communicate results and predictions effectively to clients

Qualifications:

• Python programming with data libraries (NumPy, Pandas)
• Data Visualization (MatplotLib, Seaborn)
• Machine learning (Scikit, SciPy)
• Familiarity with data preprocessing and cleansing techniques
• Data engineering and processing using PySpark
• Experience in time series analysis
• Experience in predictive analytics and forecasting
• Experience in PL/SQL, SQL*Loader, SQL, No SQL to build ETL programs
• Experience in (Fastapi, Streamlit, NLP)
• LLMs
• Azure Data Platform / MS Fabric
• Data Bricks
• Data Warehouse
• Realtime Analytics
• Handling huge amount of data and transactions

Experience: 

 6/- years of experience in data, ETL, or BI fields with at LEAST 3/- years in below technologies.

Skills

Skills:

The candidate should also have Excellent Writing and Communication Skills to handle:

• Day-to-day discussions, team meetings
• Written (requirements and design specifications) forms
• Overall ability to be clear and concise in all communications.