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Data Science with less than a year in Machine Learning & Python
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Aspiring Data Scientist skilled in Python, SQL, Machine Learning, Excel, and Power BI with experience in data analysis, visualization, and predictive modeling to support data-driven decision-making.
Holkar Science College Indore
Bachelor of Computer Application
N/A – June 30, 2023
Central University of Haryana
Master of Computer Application
N/A – June 30, 2026
Air Quality Index Predictor and Forecasting
April 1, 2026 – May 1, 2026
Developed a Machine Learning-based Air Quality Index (AQI) Prediction and Forecasting system using Random Forest and ARIMA models. Performed data preprocessing, feature engineering, and time-series analysis on historical air pollution datasets. Achieved 78% prediction accuracy in forecasting AQI trends and pollution levels. Implemented a real-time monitoring and forecasting solution to support environmental analysis and decision-making.
IPL Win Predictor
March 1, 2026 – April 1, 2026
Engineered a Machine Learning-based IPL Win Prediction system using historical match data and statistical analysis techniques. Performed data preprocessing, feature engineering, and exploratory data analysis to enhance predictive performance. Developed and optimized a Logistic Regression model for accurate prediction of IPL match outcomes and winning probabilities. Deployed an interactive Streamlit-based web application for real-time match prediction and analytical visualization.
Diabetes Prediction Using Machine Learning
November 1, 2025 – December 1, 2025
Developed an end-to-end Machine Learning classification model using the PIMA Indians Diabetes. Performed data preprocessing such as handling missing values, data cleaning, and feature scaling to enhance model performance. Built and compared multiple classification models including Logistic Regression, K-Nearest Neighbors (KNN), Random Forest, and Support Vector Machine (SVM). Built an interactive Streamlit web application that allows users to input medical data and receive real time diabetes predictions (0 = Non-Diabetic, 1 = Diabetic).
Certified in HackerRank Python Basic
HackerRank
June 1, 2026 – Present
5 Star in SQL on HackerRank Challenge
HackerRank
January 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects show a strong interest in data science and machine learning, aligning well with a Data Science role. The diversity of projects (medical prediction, environmental forecasting, sports prediction) indicates a broad curiosity and ability to apply ML techniques across different domains. The certifications suggest a drive for self-improvement and validation of skills. However, the lack of professional experience limits the assessment of cultural fit in a corporate environment.
Soft Skills & Operational Fit
The candidate demonstrates a proactive approach to learning and applying machine learning concepts through academic projects. The ability to develop and deploy interactive applications suggests a practical, results-oriented mindset. However, without professional experience or psychometric test results, it's difficult to assess stress handling, team collaboration, or broader operational fit.