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About Candidate
Aspiring Data Scientist with over a year of experience in data analytics and system analysis. Skilled in SQL, Python, and Tableau, I excel in transforming complex data into actionable insights and strategic recommendations. Currently working in data clearing and reconciliation, I possess a strong analytical approach coupled with a passion for social impact.
Skills: Python, SQL, Pyspark, AWS, ETL, Data Brick, Power BI, Spark, Azure, Machine Learning, Azure Databricks, Azure Data Factory, Snowflake, GCP, Tableau Software, Data Modeling, SCALA, Hadoop, Data Warehouse, Big Data, Data Engineering,Artificial Intelligence, Data Science
Current Salary (₹)
Location
Education
Work & Experience
- Supported data clearing for international roaming and financial reconciliations, ensuring data accuracy and integrity by 98– 99%. - Built and optimized SQL and Python scripts for data extraction, cleaning, and transformation, saving 6–8 hours/week of manual effort. - Developed Tableau dashboards to monitor clearing KPIs, improving stakeholder visibility and decision speed by 20–25%. - Collaborated with cross-functional teams to resolve data discrepancies, reducing issue resolution time by 25–30%. - Architected incremental data pipeline partitioning to handle peak roaming data volumes, achieving ~2.5–3 throughput with 99.9% processing uptime during quarterly loads. - Implemented fault tolerant data checks and retry logic across ETL, reducing data loss incidents by 40% and restoring runs within 12 minutes.
