Data Science with less than a year in Machine Learning and 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 – Present
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 – Present
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 – March 1, 2026
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 demonstrate an interest in applying data science to real-world business problems (retail, mobile phone pricing), which aligns with a practical, results-oriented culture. The mention of 'APM or data science role' indicates flexibility and a desire to contribute to product decisions. However, the limited diversity in project types (both from the same internship) and the early career stage mean that exposure to varied team dynamics or complex organizational structures is likely limited, which might require additional mentorship in a new cultural environment.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to translate data findings into actionable business recommendations, suggesting good problem-solving and analytical skills. The focus on communicating findings to non-technical stakeholders implies an awareness of business context. However, without direct assessment, specific soft skills like teamwork, leadership, or adaptability cannot be fully evaluated.