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Data Science with less than a year in Machine Learning & EDA
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Assessing your cultural and operational fit
Data Science fresher (MCA) with active internship experience at NextHikes IT Solutions, working on real-world EDA and machine learning projects. Skilled in Python, SQL, Scikit-learn, and data visualization. Eager to apply strong analytical and problem-solving skills in an APM or data science role to drive meaningful product and business decisions.
Sikkim Manipal University
Master of Computer Applications (MCA)
August 1, 2024 – June 30, 2026
Utkal University
Bachelor of Science (B.Sc.)
August 1, 2016 – June 30, 2019
NextHikes IT Solutions
Data Science Intern
November 1, 2025 – Present
India
Mobile Phone Price Prediction Model
April 1, 2026 – June 30, 2026
Building an end-to-end supervised ML pipeline using RAM, battery, camera specs, processor, and dimensions across 500+ phone models to accurately estimate market price. Ranking feature influence via correlation matrices and model importance scores; selecting the best algorithm based on MAE and RMSE evaluation across three models.
Retail Transaction Exploratory Data Analysis
March 1, 2026 – Present
Conducted full statistical EDA (univariate, bivariate, multivariate) on 100K records with 18 variables; identified right-skewed revenue distribution and confirmed high-value outliers as valid bulk purchases. Detected a consistent pattern between longer delivery times and higher return probability — provided data-backed recommendations for logistics optimisation.
Cultural Fit Analysis
The candidate's projects are directly aligned with data science roles, focusing on practical applications of ML and statistical analysis. The breadth of skills covers core data science tools and methodologies. However, the experience is limited to a single internship and two related projects, which might indicate a narrower exposure to diverse problem domains or team structures. The target role 'Data Science' is well-aligned with the candidate's stated interests and skills.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to translate technical findings into actionable business recommendations, suggesting good analytical and problem-solving skills. The ongoing internship demonstrates a proactive approach to gaining real-world experience. However, without direct interaction or psychometric test results, it's difficult to assess stress handling, team collaboration, or work attitude.