Vikas Kumar

Data Engineer

Delhi, India3 yrs 3 mos experience

Most Likely To Switch

Key Highlights

Experienced in Data Engineering and Machine Learning.
Skilled in Python and SQL for database management.
Mentored students in programming and data analysis.

Stackforce AI infers this person is a Data Engineer with a focus on Machine Learning and Data Management.

Contact

imvikas.ai@gmail.com LinkedIn

Skills

Core Skills

Python (programming Language)SqlMachine LearningData Collection

Other Skills

Amazon Web Services (AWS)Apache AirflowApache KafkaApache SparkContinuous Integration and Continuous Delivery (CI/CD)Data ModelingData PreprocessingData QualityData WarehousingExploratory Data AnalysisExtract, Transform, Load (ETL)Hadoop

About

Data Engineer

Experience

National institute of electronics & information technology (nielit)

Data Engineer

Nov 2024 – Present · 1 yr 4 mos · Delhi, India · On-site

Inteligenes technologies

Mentor

Apr 2023 – Oct 2023 · 6 mos · Delhi, India · On-site

Delivering lectures, leading discussions, and conducting hands-on exercises to teach students Python programming concepts (such as data types, control structures, functions, and object-oriented programming) and SQL fundamentals (such as querying databases, data manipulation, and database design).
Teaching students how to work with various database management systems (e.g., MySQL, PostgreSQL, SQLite) using SQL for tasks such as creating and managing databases, tables, and indexes.

Python (Programming Language)SQL

Zummit infolabs

Machine Learning Intern

Oct 2022 – Feb 2023 · 4 mos · Bengaluru, Karnataka, India · Remote

#Collect and preprocess data for use in machine learning models.
#Clean and handle missing data, outliers, and inconsistencies.
#Perform exploratory data analysis to understand patterns and insights.
#Assist in building and training machine learning models under the guidance of senior team members.
#Implement algorithms and techniques to solve specific business problems.
#Contribute to the development of both supervised and unsupervised learning models.

Data CollectionData PreprocessingExploratory Data AnalysisMachine Learning