Sneha Mohan

6+ years of experience in Development and Data Analytics. 4Years of experience on IBM Mainframe platform as mainframe developer. Proficient in Data Analysis, Data Visualization and Data Modeling. Hands on experience in different programming languages such as Python, Pandas libraries, NUMPY. Deep SQL skills and proficiency in working with databases. Hands on experience in extracting data, data cleaning and validation, data preprocessing. Experience in Data Visualization tools such as Tableau. Proven track record of delivering quality deliverables under tight deadlines. Flexible and adaptable to new environments and technologies. Excellent communication skills and a strong team player. Willingness to quickly adapt to new environments & technologies.

• Digital Health Records Analysis for Improved Patient Care, This project focused on the analysis of digital health records to enhance patient care quality and efficiency. Utilizing Python and SQL, I worked on structuring and analyzing extensive healthcare data .. The objective was to identify patterns related to patient histories, treatment outcomes, and medication efficiency. This involved cleaning and organizing large datasets to ensure accurate analysis. The insights gained were used to develop recommendations for personalized patient care plans, streamline the treatment process, and improve overall healthcare service delivery. This project played a crucial role in assisting healthcare providers to make data-driven decisions, ultimately leading to improved patient satisfaction and health outcomes.
• Health Care Data Analysis, Conducted a thorough analysis of patient data in the healthcare sector using Python, Pandas, and Numpy. This involved data cleaning, organization, and pattern identification to enhance patient health outcomes. The analytical model provided key insights into improving patient care efficiency, resulting in significant improvements in treatment outcomes and reductions in readmission rates.
• Operational Data Analysis in IT Services, Focused on optimizing IT service processes through data analysis. Leveraged Python and experience with IBM Mainframe systems to create a model for tracking and evaluating software development and deployment processes. Analyzed various operational data, including batch monitoring and CTM, to pinpoint inefficiencies. This led to a notable 15% improvement in process efficiency and a reduction in development cycle times.
• Market Trend Analysis for Retail, Led a market trend analysis using advanced data science methods. Combined Python and SQL skills with Tableau for data visualization to forecast retail sales trends. Analyzed a mix of historical sales data, customer demographics, and market conditions, providing crucial insights that informed strategic marketing decisions. This project contributed to a substantial increase in market penetration and sales growth.

• Date of Birth: 12/08/88
• Gender: Female
• Nationality: Indian