Data Science with 2+ years in data analysis, machine learning & system validation
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Entry-level Data Scientist with 1+ year of experience in data analysis, system validation, and handling structured datasets. Proficient in Python, SQL, and exploratory data analysis with a strong foundation in statistics, machine learning, and deep learning concepts. Skilled in deriving insights from data, building basic predictive models, and solving real-world problems. Actively preparing for data science and machine learning roles.
Guru Gobind Singh Indraprastha University
B.Tech · Computer Science
August 1, 2020 – June 30, 2024
Ultragenic Research & Technologies Pvt Ltd
Associate Consultant/Trainee
July 1, 2024 – February 1, 2026
Noida, Uttar Pradesh, India
Helmerich & Payne Technologies Pvt Ltd
Software Engineer Trainee (QA)
January 1, 2024 – May 1, 2024
Noida, Uttar Pradesh, India
The OAK Networks
Data Analyst
October 1, 2023 – January 1, 2024
UK
End-to-End Data Analysis Project
June 22, 2026 – Present
Performed data cleaning, preprocessing, and exploratory data analysis on real-world datasets. Used Pandas, NumPy, and visualization libraries to identify trends and patterns.
View ProjectMachine Learning Model for Prediction
June 22, 2026 – Present
Built and trained machine learning models for prediction tasks using Python. Implemented algorithms like Linear Regression, Logistic Regression, and Decision Trees.
Cultural Fit Analysis
The candidate's project diversity, including an end-to-end data analysis project and a machine learning model project, aligns well with a data science role. Their experience as a Data Analyst at The OAK Networks further strengthens this alignment. While their other roles are in QA/system validation, the underlying analytical and problem-solving skills are transferable. The breadth of skills listed (Python, SQL, ML concepts, data visualization tools) suggests a strong interest and foundational knowledge in the target domain.
Soft Skills & Operational Fit
The candidate demonstrates an ability to collaborate with cross-functional teams and has experience in identifying defects and edge cases, which suggests attention to detail. Their experience in system validation and QA roles indicates a structured approach to problem-solving and an understanding of software lifecycles. The profile summary highlights active preparation for data science and machine learning roles, indicating proactivity and a clear career focus.