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Data Science with 2+ years in machine learning & data visualization.
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Assessing your cultural and operational fit
Entry-level Data Science aspirant with a Computer Science background and hands-on experience in Python, SQL, machine learning, and data visualization. Built end-to-end ML projects and dashboards using scikit-learn, Pandas, Power BI, and Tableau, with a focus on data preprocessing, model evaluation, and business insights. Strong problem-solving, communication, and analytical skills with a goal of contributing to data-driven decision-making.
Dr. S.C. Gulhane Prerna College of Commerce Science & Arts
Bachelor of Science · Computer Science
August 1, 2021 – June 30, 2024
D.A.K.V Junior College
Intermediate · Science
June 1, 2019 – May 31, 2021
D.A.K.V High School
SSC
June 1, 2018 – May 31, 2019
Self-employed
Private Tutor
January 1, 2024 – Present
India
Airline Passenger Satisfaction Prediction
June 24, 2026 – Present
Built classification models to predict airline passenger satisfaction using EDA, feature engineering, and data preprocessing. Achieved strong predictive performance and identified key satisfaction drivers such as inflight service, seat comfort, and online boarding. Provided business recommendations to improve customer experience and retention.
Bank Customer Churn Prediction
June 24, 2026 – Present
Built and compared Logistic Regression, Decision Tree, and Random Forest models using EDA, encoding, and class-imbalance handling. Achieved test ROC-AUC of about 0.78 and identified major churn drivers.
Blinkit Sales Dashboard
June 24, 2026 – Present
Designed an interactive dashboard to analyze sales performance, product trends, and revenue drivers. Used filters, KPIs, and drill-down analysis to support decision-making.
Python for Data Science, Machine Learning, Data Science Tools, Data Science Methodology
IBM Certified
June 1, 2026 – Present
Tableau, Power BI, SQL, MongoDB, Statistics for Data Science
Unknown
June 1, 2026 – Present
Data Science & AI Program
LearnBay
January 1, 2024 – January 1, 2025
Cultural Fit Analysis
The candidate's project diversity, including customer satisfaction, churn prediction, and sales dashboards, shows a breadth of interest within data science. The self-employment period as a tutor, while preparing for data science, indicates self-motivation and a proactive learning approach. The target role of Data Science aligns well with the candidate's stated aspirations and project work. However, the lack of professional data science experience means cultural fit in a corporate data science team is yet to be fully proven.
Soft Skills & Operational Fit
The candidate's experience as a private tutor suggests developed communication, responsibility, and time-management skills. The resume also lists problem-solving, analytical thinking, teamwork, and adaptability as soft skills. These indicate a potential for good operational fit and collaboration within a team, though these are not directly assessed by technical tests.