BE ENTC Engineer | Software Engineer | Data Science Enthusiast | Kaggle 3X Expert| Medium Blogger| Youtuber

Summary:

 I am a highly skilled and experienced in Data Science with 2+ years of experience in the IT industry. I am proficient in Python, Machine learning, Deep learning, Big data platforms, and cloud computing. I am also a strong communicator and team player.

In my previous role at Tech Mahindra, I was responsible for designing, developing, and deploying Data Driven solutions. I have a proven track record of success in delivering projects on time and within budget. I am also a quick learner and am always eager to take on new challenges.

I am passionate about using Data to solve real-world problems. I am also interested in using machine learning and deep learning to extract insights from large datasets. I am confident that I have the skills and experience to be a valuable asset to your team.

Here are some specific examples that you can include in your About Me section:

"I used Python to implement a user story generator that reduced the time spent writing manual user stories by 30%."

"I used machine learning algorithms to improve the accuracy of the Service Now ticket classification API, resulting in a 15% increase in overall efficiency."

"I implemented efficient real-time data replication opensource code for Microsoft SQL Server to Clickhouse data warehouse, reducing replication time by 50%."

"I led a high-performing Power BI team for over 1 year, successfully managing and coordinating their efforts to deliver exceptional results."

"I developed and deployed a fully automated Knowledge Transition plan dashboard in PowerBI, PowerApps, and SharePoint, reducing onboarding time for new customers by 40%." 

"Proficient in various Big Data frameworks, including Hadoop, Hive, and Sqoop, as well as adept in managing databases, specifically Hive & MySQL. "

"Successfully orchestrated the migration of HDP(Hortonworks Data Platform) and Oozie environments to AWS EMR (Elastic MapReduce) and Airflow infrastructure, enhancing operational efficiency and scalability "