Aditya
Sahibzada Ajit Singh Nagar, Ropar Division, Punjab, India
Experience: 2 years
Open to: Full-Time
Education: Bachelors
Availability: Within 30 Days
Skills: BigQuery, Data Warehouse, GCP, MySQL, Tableau
Previously worked at: IT Service Companies
Assessment Score: 77
- Educational Background: Completed a Bachelor of Technology in Computer Science & Engineering from Raj Kumar Goel Institute of Technology with a cumulative GPA of 7.58. Developed a strong foundation in Data Structures, Algorithm Design, Database Management Systems, AI/ML, and Computer Vision.
- Work Experience: Currently working as a Data Engineering Associate at Accenture Solutions Pvt Ltd (Oct 2022–Present), where responsibilities include developing efficient ETL pipelines, automating tasks, implementing error handling mechanisms, and delivering data reports for stakeholders.
- Technical Skills: Proficient in programming languages such as Python, Java, and C++, and experienced with ETL tools like Informatica, Abinitio, and Hadoop. Skilled in working with databases like Bigquery, Cloudera, and Snowflake, and leveraging ML frameworks such as PyTorch, TensorFlow, and Scikit-learn.
- Project Experience: Led and contributed to key AI projects such as the “Self Workout Trainer” (real-time posture analysis using OpenCV), and the “Virtual Dressing Room” using GANs. Also implemented machine learning models for various datasets, achieving high accuracy in tasks like time series forecasting and classification.
- Certifications and Achievements: Holds certifications including GCP Professional Data Engineer, Artificial Intelligence from IIT Kanpur, Data Science Math Skills by Duke University, and certifications in Neural Networks & Deep Learning, Computer Vision, and Java & Python from HackerRank.
- Internship Experience: Gained practical experience as a Project Intern at Robust Results Pvt. Ltd. in 2020, where he developed and tested machine learning models for Kaggle datasets, applied feature engineering, and successfully completed the Titanic Survival Prediction project.