Data Science with less than a year in Machine Learning & Cloud technologies.
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Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Mohit Bhatnagar is a driven Junior Data Science professional with 0.8 years of experience in data annotation, machine learning, and data analysis. He possesses strong skills in Python, SQL, and various data science libraries, coupled with practical experience in cloud platforms like AWS. Mohit is adept at developing predictive models, extracting insights from data, and contributing to data-driven projects, as evidenced by his work on video labeling, flight fare prediction, and grocery product analysis.
LJ University, Ahmedabad
Bachelor of Computer Applications (BCA) · Computer Applications
August 1, 2022 – June 30, 2025
R.R. Dwivedi School, Ahmedabad
Higher Secondary Certificate (HSC)
June 1, 2021 – May 31, 2022
Apexon
Data Annotation (Video labelling)
August 1, 2025 – March 1, 2026
India
Live Flight Fare- Price prediction model
June 24, 2026 – Present
Developed a machine learning model to predict airline ticket prices based on flight details such as airline, source, destination, duration, total stops, and departure time.
View ProjectGrocery Product Analysis
June 24, 2026 – Present
Performed data analysis on a grocery sales dataset using MySQL to extract insights on product performance, outlet sales trends, and customer preferences.
View ProjectAWS Cloud Architecting
AWS Academy
March 1, 2025 – Present
Python Programming
Coursera
April 1, 2024 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate initiative and a foundational interest in data science. The data annotation role shows a willingness to engage in detailed, quality-focused work. The AWS certification indicates a proactive approach to learning new technologies relevant to modern data infrastructure. The diversity of projects (ML prediction, data analysis, data annotation) suggests adaptability and a broad interest within the data domain. However, the experience level is entry-level, which might require significant mentorship for a senior role.
Soft Skills & Operational Fit
The candidate's experience in data annotation and working with a quality team suggests an ability to follow instructions, ensure data accuracy, and collaborate. The project descriptions are clear and concise, indicating good written communication. However, without specific psychometric or English test scores, a deeper assessment of soft skills and operational fit is limited.