Aug 2024 – Mar 2025 · 7 mos · India · Remote

Apr 2024 – Jul 2024 · 3 mos · India · Remote

• Automating the Reporting Process
• Improved Operational Efficiency: Automated data extraction, processing, and reporting using Python, SQL, and Google Sheets, reducing manual efforts and ensuring timely and accurate data delivery.
• Data Integration: Integrated various data sources and created dynamic reports using Google Sheets and Google Data Studio.
• Workflow Automation: Developed Python scripts to automate repetitive tasks, ensuring data consistency and accuracy.
• Funnel Exploration using GA4
• Enhanced User Experience: Analyzed user behavior through GA4 to identify and resolve pain points, leading to optimized user journeys and increased conversion rates.
• Detailed Funnel Analysis: Leveraged GA4’s advanced features to gain deeper insights into user interactions, forming and testing hypotheses on drop-offs and engagement.
• Data-Driven Insights: Provided a solid foundation for strategic decisions by analyzing user behavior and identifying key performance indicators (KPIs).
• B2C Dashboard Creation
• KPI Identification and Visualization: Identified critical KPIs for user sign-ups, purchase behavior, and engagement rates. Created comprehensive dashboards using Google Data Studio to visualize these KPIs.
• Real-time Reporting: Maintained and refreshed dashboards periodically, ensuring real-time data availability for informed decision-making.
• Improved Engagement and Retention: Implemented targeted improvements based on dashboard insights to enhance user engagement and retention.
• General Skills and Achievements
• Python and SQL: Proficient in developing scripts for data manipulation, automation, and integration with APIs.
• Data Analysis and Reporting: Skilled in extracting, processing, and visualizing data to generate actionable insights and support strategic planning.
• Tools Used: Google Data Studio, Google Sheets, Google Analytics 4, MySQL, MongoDB.
• Strategic Growth: Enabled continuous improvement and adaptation through effective data analysis and visualization.

May 2024 – Jul 2024 · 2 mos · India · Remote

• Learned Python and machine learning algorithms.
• Completed multiple assignments on machine learning algorithms using Python.
• Gained extensive knowledge in various machine learning algorithms, data preprocessing, feature engineering, and visualization.
• Used various Python libraries for machine learning, including NumPy, Pandas, Scikit-learn, TensorFlow, Keras, Matplotlib, and Seaborn.

Jul 2022 – Jul 2023 · 1 yr · Noida, Uttar Pradesh, India · On-site

• ▪ Experienced with enterprise software: DNA, Automic (UC4), SSRS, IBM SFG, and Service Now.
• ▪ Managed critical batch transmission environments, ensuring 24/7 support and monitoring of daily processes.
• ▪ Skilled in troubleshooting and configuring to maintain smooth workflow of business processes.
• ▪ Handled incidents/requests in assigned queues effectively.
• ▪ Maintained checklists for critical business processes daily, weekly, and monthly.

Apr 2019 – Jul 2022 · 3 yrs 3 mos · Noida, Uttar Pradesh, India · On-site

• ▪ Experienced in working with workload automation and integration platforms, including Control M, CA – Autosys, IBM MFT Sterling, SFG, Automic (UC4), HL7 Interface Engine, JIRA, and Service Now.
• ▪ Handled business job processes, Real-time support for diverse daily, weekly, and monthly batches. Monitors 24/7, manages incidents, collaborates for recovery, and maintains process checklists during maintenance.
• ▪ Swift manual handling of failures as per guidelines for smooth workflow of business processes.
• ▪ Timely RCA uploads and work notes. Tracking and Managing Major incidents for resolution within SLAs.
• ▪ Weekly/monthly ServiceNow report for issue analysis. Collaborates with teams for better processes and resolutions.

Jun 2016 – Jul 2016 · 1 mo · Ghaziabad, Uttar Pradesh, India · On-site