1. Utilized MySQL, Power Query, Power Pivot, and DAX for data modeling to resolve data discrepancies between Global Dashboards, improving customer satisfaction by 95%.2. Developed and maintained interactive dashboards for Argentina and Central Europe Regions for Sales and Logistics.3. Implemented RLS (Row-level Security) to significantly enhance data security and governance for Sales and Inventory dashboards, resulting in an 80% improvement in data protection.4. Addressed many-to-many relationships with Bridge data modeling, improving data accuracy and report reliability by 85%.5. Consistently achieved KPI goals, including productivity (achieving targets within 3 days), maintaining a 90–95% satisfaction rate, and TTR by 40%, by delivering high-quality support and maintaining customer satisfaction.6. Acted as a quick support by utilizing Power Query, and Power Pivot with DAX to perform data modeling to validate the logics.

1. Data Science and Analytics major specializing in Business Analytics under CDB AI & Analytics.2. Expertly backtracked and replicated Informatica PowerCenter logic in IICS Dev, efficiently addressing data issues in migrated pipelines and reporting findings to stakeholders.3. Designed and implemented ETL processes in IICS, reducing runtime by 66.7% by optimizing the transformation types.4. Offered technical support (KTs) and training to team members and end users, improving their understanding and effective use of Informatica Cloud.5. Collaborated with Business Analysts to understand requirements and develop effective data models.

1. Data Science and Analytics major specializing in Business Analytics under CDB AI & Analytics.2. Engineered robust data pipelines using Informatica PowerCenter applications and SQL to streamline data flow for healthcare clients, resulting in a 40% reduction in data processing time and a 25% increase in data accuracy.3. Proficient in creating insightful reports and dashboards using IBM Cognos to analyze sales company performance across various metrics.4. Achieved a top-ranking score of 90% in the SME (Subject Matter Expert) interview during the initial round.

1. Contributed to an educational website dedicated to community improvement and development.2. Played a key role in articulating concise programming principles to deliver high-quality content.3. Actively explored emerging technology domains, expanding my knowledge base.4. Delivered substantial content focused on Python and Java.

1. Quality Assurance Intern with hands-on experience in diverse testing methodologies, including Unit, Integration, System Testing, and Acceptance Testing.2. Contributed to enhancing the quality and reliability of a recruiting platform and taxi service by implementing comprehensive test cases.3. Proficient in identifying critical bugs and ensuring seamless user experiences through rigorous testing.4. Gained valuable insights into software quality assurance, preparing for a career dedicated to delivering error-free applications.

1. During the second wave of COVID-19, I played a pivotal role in data collection from diverse sources, consolidating the information into a structured Excel sheet.2. I leveraged statistical methods to empower data-driven decision-making, ensuring the accuracy and reliability of our insights.3. I computed key epidemiological indicators, such as TPR (Total Positivity Rate), CFR (Case Fatality Rate), and RR (Reproduction Rate), contributing to a more comprehensive understanding of the pandemic's impact.4. Actively promoted our data-driven predictions through press releases, facilitating informed decision-making and raising awareness.5. Additionally, I made substantial contributions to an introductory Python book, including writing chapters and collaborating in the proofreading process.

1. .Explore Commercial Real Estate Agenda and various rules andregulations related to Finance/Taxes.2. Responsible for writing analytical manuscripts related to tax andother financial topics.3. Improvisation in Soft Skill.4. Help in building confidence while handling clients.

Worked on a project whose objective is to create a predictivethe model that will predict whether a customer would churn or not.1. Project predicts the continuity of the customer with thehelp of distinct factors.2. Customer Churn is the rate at which the customer stops doingbusiness with companies or stops using their products and services.3. Uses Explanatory Data Analysis for data visualization using'seaborn' and 'matplotlib' libraries.4. Observed the highest accuracy for the SVM machine learningalgorithm