Google Cloud

Google Cloud Professional Data Engineer Trainee

• Gained expertise in Google Cloud technologies by completing skill badges in data engineering, BigQuery, and Dataflow.
• Built and optimized data pipelines for predictive modeling, streaming analytics, and data warehouse modernization.
• Participated in mentor-led sessions and hands-on labs to prepare for the Professional Data Engineer certification.
• Completed the Google Cloud Certified Professional Data Engineer Training (Cohort ID: PDE04-GETCERT/2024.09.09) under the mentorship of Trainer Omar Shorbaji, earning multiple Google Cloud Skill Badges in areas such as BigQuery, Dataflow, and Streaming Analytics.

Data Analytics using AI-LLMs Internship                     Certificate Link

• Developed and deployed predictive models using AI-LLMs to solve real-world problems in diverse industries, leveraging machine learning techniques for advanced data analysis and insights.
• Collaborated with mentors to optimize ML algorithms for performance, improving model accuracy and decision-making capabilities across various applications.
• Enhanced technical proficiency through the application of data analytics and visualization techniques, delivering actionable insights and refining model outputs for business use.

Emerging Technologies (AI & Cloud) InternshipCertificate Link

• Edunet Foundation, Project Management and Cloud Integration: Gained hands-on experience in building AI models, including ChatBots, AutoAI, and NLP applications, while leveraging IBM Cloud tools like Watson Studio to solve real-world problems.
• Project Management and Presentation: Successfully collaborated on practical AI projects, attended masterclasses by industry experts, and showcased technical skills through a comprehensive final project presentation, earning certifications from IBM SkillsBuild, Edunet Foundation, and AICTE.

Data Analytics and Power BI Internship                                  Certificate Link

• Developed interactive Power BI dashboards for data-driven insights.
• Analyzed telecom data to optimize business operations.

B.Tech (Computer Science & Engineering (Specialization in Data Analytics))

GLA University

• Developed expertise in Data Science, Machine Learning, Python Programming, Statistical Analysis, Predictive Modeling, Supervised & Unsupervised Learning, Deep Learning, NLP, Time Series Analysis, Data Preprocessing, Feature Engineering, Big Data Technologies (Hadoop, Spark), Data Visualization (Tableau, Power BI), and SQL.
• Operating Systems (OS), Database Management Systems (MySQL), Digital Electronics, Computer Organization, Discrete Mathematics, Full Stack Development (HTML, CSS, JS, PHP), Data Structures, Algorithms, Software Engineering (SDLC, Git), Cloud Platforms (GCP, AWS), Problem-Solving, Agile Methodology, Hackathon Innovation, Project Management, Presentation Skills.

SMS Spam Detection App                               Show Project

• Real-time SMS classification using TF-IDF vectorization and supervised ML models.

Forest Fire Prediction and Analysis               Show Project

• Predicted forest fires using AutoAI and environmental data analysis.
• Achieved high R2 (0.9830) with a Linear Regression model.

Employee Burnout Prediction                         Show Project

• Predicts employee burnout risk using regression and ML techniques.
• Integrates Kaggle data for detailed analysis and real-time predictions.