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Data Science with 1+ years in Data Analysis & Machine Learning
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
B.Tech Information Technology graduate with hands-on experience in Python, SQL, and data analysis. Skilled in data cleaning, exploratory data analysis (EDA), feature engineering, and data visualization using Pandas, NumPy, Matplotlib, and Tableau. Experienced in building machine learning models using Scikit-learn and developing interactive data applications with Streamlit. Seeking an entry-level Data Analyst or Data Science role to apply analytical and programming skills to solve real-world business problems.
Institute of Engineering & Technology, Calicut University
B.Tech · Information Technology
October 1, 2022 – June 1, 2025
Telestation Private Limited
Business Development Executive
March 1, 2026 – Present
India
Maitexa Technologies
Data Science & Analytics intern
July 1, 2025 – August 1, 2025
India
Customer Churn Analysis & Prediction
June 18, 2026 – Present
Performed Exploratory Data Analysis (EDA) to identify telecom customer churn patterns. Conducted data cleaning and preprocessing, including missing value treatment, IQR-based outlier detection, and categorical encoding. Applied feature standardization and engineering to create a machine-learning-ready dataset. Built a predictive model using Scikit-learn and visualized churn insights using Seaborn.
Eurovision Success Calculator
June 18, 2026 – Present
Developed a machine learning model to predict Eurovision song scores based on audio features. Performed EDA and feature preprocessing using Pandas and NumPy. Built an interactive Streamlit web application for real-time score prediction.
Design Thinking: Understanding the process
Project management institute (PMI)
June 12, 2026 – Present
Certified Specialist in Data Science and Analytics
ICT ACADEMY OF KERALA
June 1, 2025 – Present
Cultural Fit Analysis
The candidate's projects demonstrate initiative and a practical approach to applying data science techniques to real-world problems (customer churn, Eurovision prediction). The blend of academic background, internship, and certification aligns with a growth-oriented mindset. The current role in business development, while not technical, shows adaptability and a willingness to learn new domains. The candidate's profile suggests a good fit for a team that values practical application and continuous learning, though the lack of team-based project experience makes it hard to fully assess collaboration skills.
Soft Skills & Operational Fit
The candidate's experience as a Business Development Executive suggests potential for client interaction and understanding business needs, which can be valuable in a data science role. The 'Design Thinking' certification also indicates an understanding of problem-solving methodologies. However, the primary experience is not directly in a data science operational role, which might require a learning curve for MLOps or production deployment practices.