● Setting up and maintaining client data pipelines.● Develop Python scripts for data extraction, utilizing Cloud Functions and Schedulers to automate data transfer to Big Query.● Build integrations to facilitate seamless data transfer, reducing reliance on third-party tools.● Design and implement data architecture diagram flows for clients.● Conduct training workshops to empower client teams for sustainable solutions.

- Implemented a Looker project end-to-end.- Set up Google Apps Script to automate data in their Google Sheets.- Connected data flow between Google Sheets into BigQuery into Looker.- Took part in establishing Copia's Data Governance and Data Quality set procedures.- Continuous support for ad hoc requests.

-Briefly worked for a machine learning project as a code contributor.-Took on web scraping projects from three different clients.-Ran essential daily, weekly and monthly KPI metric reports for client for 2 months.-Deployed predictive analytics model for a client, to forecast future sales for his products.

- Established Data Warehouses and ETL PipelinesArchitected and maintained robust data warehouses and ETL pipelines, ensuring seamless data flow and accessibility across the organization.- Engineered and Deployed APIs with Flask and AWSDesigned and built RESTful APIs using Python and Flask, deploying them on AWS to ensure high availability and scalability.- Led Sentiment Analysis for Stock Market PredictionsConducted a sentiment analysis project utilizing event data from Gazette Notices, focusing on stock market prediction through extensive data cleaning and preparation.- Provided Advanced Business Analytics and Strategic RecommendationsDelivered in-depth analysis and strategic recommendations to solve complex business challenges, leveraging data from internal and external sources to drive growth and profitability.- Leveraged Data Analytics for Business DevelopmentApplied advanced analytics to optimize business processes, drive productivity, and refine marketing strategies, including customer lifecycle modeling and monetization strategies.

- Collaborated with Internal StakeholdersWorked closely with internal stakeholders to identify and gather analytical requirements for customer, product, and project needs.- Conducted Regression AnalysesPerformed regression analyses to explore and understand the relationships between transaction modes and various influencing variables.- Delivered Quarterly Analytical SummariesProvided comprehensive analytical summaries on a quarterly basis, offering insights and recommendations to drive business strategy.- Identified Emerging Patterns and Customer BehaviorsMonitored data trends to identify new patterns and shifts in customer behavior as data became available.- Managed and Cleaned Large DatasetsHandled large datasets daily, employing rigorous data cleaning techniques to ensure data integrity and usability.

• Was actively involved in updating and retrieving client data in the company's system on a daily basis.• Built a loan credibility prediction model with the help of the Decision Tree Algorithm.• Offered ICT support to the company.

• Tracked and gauged relevance of the available company data.• Proposed various ways to integrate AI into Pathology.

• Performed project's Monitoring and Evaluation tasks• Trained and mentored a team on data collection and extensive use of Excel as a data analytics tool.• Prepared weekly reports for different community interventions.