Data Analyst with less than a year in SQL, Python, Excel, and 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
Data Analyst skilled in SQL, Python, Excel, and Machine Learning with hands-on experience in data analysis, predictive modeling, and business insights generation. Proficient in data cleaning, statistical analysis, visualization, and building ML classification models using Python libraries. Strong understanding of SQL querying, exploratory data analysis (EDA), and data-driven decision making.
H.P.T Arts & R.Y.K Science, Pune University
Bachelor of Arts (BA) · Data Analysis, Statistics, Database Management, Applied Mathematics
August 1, 2017 – June 30, 2020
Pizza Hut Sales Data Analysis
April 1, 2026 – May 1, 2026
Analyzed sales data using SQL queries to identify revenue trends, top-performing products, and customer ordering patterns. Performed data extraction, aggregation, and KPI analysis to generate business insights from large datasets. Used joins, grouping, filtering, and aggregate functions for sales performance analysis and reporting. Performed exploratory analysis and reporting using SQL and Excel-based data interpretation techniques.
View ProjectCancer Detection ML System
March 1, 2026 – April 1, 2026
Built an end-to-end machine learning classification system for cancer detection using medical datasets. Performed data preprocessing, feature engineering, and exploratory data analysis on 30+ features. Trained and evaluated 7 ML models including Logistic Regression, Random Forest, Gradient Boosting, KNN, and Neural Networks. Achieved 95%+ classification accuracy using Random Forest with hyperparameter tuning and model optimization. Conducted overfitting analysis and cross-validation to improve model generalization performance.
View ProjectAI/ML Certification Course
PW Skills Academy
April 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects are diverse, covering both machine learning for medical data and sales data analysis, indicating a broad interest in data applications. The skills listed align well with a Data Analyst role, suggesting a good fit for data-centric teams. However, the lack of professional experience means cultural fit beyond technical alignment is difficult to fully assess.
Soft Skills & Operational Fit
The candidate's projects demonstrate problem-solving and analytical thinking skills. The academic nature of projects suggests a learning-oriented individual. However, without professional experience or psychometric test results, it's difficult to assess work attitude, stress handling, or team collaboration in an operational setting.