Ajitpal B.'s Linkedin Analytics

I am a seasoned Data Scientist with over 12 years of experience and a Master's degree in data science. My career is defined by my commitment to delivering data-driven solutions that empower organizations to achieve their business goals. My professional journey encompasses leading Analytics, Business Intelligence (BI), and AI/ML teams within cross-functional environments. I specialize in translating complex data into actionable insights and strategies that drive business success. My skills span BI, AI/ML, Stakeholder Management, Business Analysis, Requirement Gathering, Self-serve Analytics, Risk Analysis, P&L Management, Spend Analytics, and Revenue Growth strategies. My track record includes successfully building and delivering Data & AI/ML solutions that have a direct impact on organizational performance. I thrive on collaboration and have worked closely with diverse functional areas, including Product Management, IT, Data Science, Finance and Accounting, Supply Chain, Retail, Transportation, Logistics, and Marketing & Sales. By fostering multidisciplinary teamwork, I ensure that data and technology align seamlessly with business objectives. My passion lies in harnessing the potential of data and cutting-edge technologies to solve complex business challenges. I am genuinely excited about the transformative power of data, and I am driven to help organizations leverage it for growth and innovation. I am currently open to exciting opportunities in data science, AI/ML, and analytics. I invite like-minded professionals, recruiters, and potential clients to connect with me. Let's explore how we can collaboratively achieve your data-driven goals and drive your business forward. Please feel free to reach out! My Tech Stack: • Data Visualization: Tableau, Power BI, Google Data Studio, Quicksight, Looker. • Analytics Toolkit: SQL, Excel, Python, Jupyter Notebooks, PySpark, dbt. • Data Engineering (ETL/ELT): SSIS, Informatica, Airflow, Fivetran, AWS Glue, ADF. • Databases: MSSQL, MySQL, Oracle, RDS, Azure SQL, Redshift. • Cloud: Azure Blob, ADLS, AWS S3, DynamoDB, Presto, BigQuery, Snowflake, Databricks. • Data Management: Data Governance, Data Quality, Data Privacy & Protection, MDM/RDM. • Big data framework: Hadoop, HDFS, Apache Spark, Hive. • Document Management: MS Office, Gsuite, Dropbox, Quip, Sharepoint, etc. • Project Management: Agile, Scrum, SDLC, Jira, Confluence, Asana etc. • AI/ML: Supervised, Unsupervised, GenAI, Machine learning, Deep learning, Scikit, Pytorch etc. • LLMs: Llama, OpenAI, Azure openAI, Langchain, Hugging Face, Streamlit, etc.