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Data Analyst with less than a year in Python, SQL, and Power BI for data analysis and machine learni
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Seeking a challenging role to apply my knowledge and skills while gaining real-world experience and contribute to the organization. Eager to learn, grow, and work in a team-driven, innovative environment.
Guru Nanak Khalsa College of Arts, Science and Commerce, Matunga
Bachelor of Science (B.Sc.) · Information Technology
August 1, 2021 – June 30, 2024
IPL Exploratory Data Analysis (EDA)
January 1, 2026 – Present
Performed data cleaning and exploratory data analysis on IPL datasets using Python, Pandas, NumPy, Matplotlib, and Seaborn. Analyzed team performance, player statistics, toss decisions, venue trends, and match-winning factors through statistical analysis and visualizations.
E-Commerce Sales Analytics (MySQL)
January 1, 2026 – Present
Analyzed customer behaviour, product performance, and sales trends using MySQL. Utilized JOINs, CTEs, subqueries, and window functions to generate business insights and identify revenue-driving products.
Customer Churn Prediction using Machine Learning
January 1, 2026 – Present
Developed a machine learning model to predict customer churn using customer demographic and service data. Performed data preprocessing, exploratory data analysis (EDA), and feature engineering. Trained and evaluated Logistic Regression, Random Forest, and XGBoost models. Selected the best-performing model using Accuracy, Precision, Recall, and F1-Score. Technologies: Python, Pandas, NumPy, Scikit-learn, XGBoost, Matplotlib, Seaborn.
Build an interactive dashboard of Amazon Global Sales using Power BI
January 1, 2026 – Present
Track global sales, profitability, and customer performance. Used DAX, Power Query, and advanced visuals for business insights.
Cultural Fit Analysis
The candidate's academic projects cover diverse areas within data analysis and machine learning, indicating a broad interest and willingness to explore different problem domains. The objective statement emphasizes eagerness to learn and grow, which is a positive indicator for cultural fit in a learning-oriented environment. The lack of professional experience means there's no direct evidence of cultural alignment with specific organizational values, but the project diversity and stated soft skills suggest a good foundation.
Soft Skills & Operational Fit
The candidate lists 'Team Work, Adaptability, Attentive, Willingness to learn' as soft skills. These align well with a collaborative and dynamic data analyst role. The academic projects suggest an ability to work independently on defined tasks. However, without professional experience, the operational fit in a fast-paced corporate environment is yet to be fully validated.