SynergisticIT

•Enhanced data extraction and cleansing processes by utilizing Python, SQL, and Pandas, leading to a 20% improvement in data quality and consistency across various sources.
•Conducted thorough Exploratory Data Analysis (EDA) with Python libraries such as Numpy and Pandas,
successfully identifying and mitigating outliers and unveiling critical patterns in transaction data, resulting in a 15% increase in data accuracy.
•Engineered and deployed robust machine learning models for fraud detection via sci-kit-learn, resulting in a 30% reduction in fraud instances when integrated into the AWS cloud environment and transaction processing pipeline.
•Designed and maintained comprehensive dashboards and reports through MS Excel and Tableau, effectively visualizing key performance indicators and data trends, leading to data-driven decisions and a 25% increase in stakeholder satisfaction.
•Continuously monitored and optimized system performance, implementing model and feature adjustments that increased system efficiency by 20%.
•Fostered cross-functional collaboration with IT and security teams to implement preventative fraud measures, enhancing system security by 35%

Data Analyst

Genpact

•Successfully gathered and cleaned loan-related data from multiple sources, achieving a 99.5% data quality and integrity level.
•Utilized Python (Numpy, Pandas) to transform raw data into usable format, revealing key patterns and trends in loan data, while detecting and resolving potential outliers.
•Designed and maintained robust Python scripts and workflows for data preprocessing and transformation, resulting in a 30% efficiency increase in data preparation for analysis.
•Leveraged AWS Athena for SQL-based data querying and analysis directly from Amazon S3, and managed data warehouses using Amazon Redshift for 25% faster data storage and retrieval.
•Created interactive and dynamic visualizations using Power BI and Matplotlib/Seaborn, driving actionable insights from the data.
•Established and monitored KPIs, analyzing data to identify areas of improvement and recommending strategies that led to a 15% optimization in business processes.
•Collaborated with the risk management team and financial analysts, effectively incorporating their feedback and requirements into the platform, resulting in a 20% increase in user satisfaction.

I am a Data Analyst with 2 years of experience who has developed a solid foundation in statistical analysis, data modeling, and data visualization. I am proficient in using various data analysis tools and programming languages such as Python, R, SQL, and Tableau. My expertise lies in conducting data-driven research, identifying patterns, and extracting valuable insights to drive business decisions. Additionally, I am a highly motivated and collaborative team player who thrives in a fast-paced and challenging work environment.

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Onkar Khanolkar

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Onkar Khanolkar

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