Muhammad Adeel Email & Phone Number

Lahore, Pk

Punjab, Pakistan

Mumbai, Maharashtra, India

During my internship at Prodigy InfoTech, I completed a series of advanced data science projects, significantly enhancing my expertise in data analysis, machine learning, and predictive modeling. I worked on diverse real-world tasks that helped me refine my technical skills and deliver actionable insights.Key Projects & Accomplishments:COVID-19 Global Data Analysis: Conducted in-depth data exploration and visualization of the COVID-19 dataset, revealing key trends in cases and deaths across continents.Cirrhosis Dataset Analysis: Performed data cleaning using techniques like KNN imputation, explored relationships between variables, and identified effective treatments for cirrhosis at advanced stages.Customer Purchase Behavior Prediction: Applied a Decision Tree Classifier to predict customer purchases, handled class imbalance, and evaluated model performance using confusion matrix and accuracy metrics.Social Media Sentiment Analysis: Leveraged machine learning models (Naïve Bayes, Decision Trees, Random Forests) to classify sentiment, and explored tweet length vs. sentiment correlations for deeper insights.Traffic Accident Data Analysis: Analyzed traffic patterns, visualized accident hotspots, and identified risk factors affecting accident severity, using advanced data visualization techniques.Skills & Technologies:Programming Languages: Python, Pandas, NumpyMachine Learning: Scikit-Learn, Decision Trees, Random Forests, Naïve BayesData Visualization: Seaborn, MatplotlibData Preprocessing: KNN imputation, outlier detection, data balancingOther Tools: SQL, TableauThis internship allowed me to strengthen my ability to derive insights from complex datasets, apply advanced machine learning techniques, and deliver high-performing solutions. I am eager to apply these skills to real-world challenges and contribute to impactful projects.

Chennai, Tamil Nadu, India

During my internship at CognoRise InfoTech, I completed 8 diverse data science projects, enhancing my expertise in machine learning, data analysis, and time series forecasting. I worked on tasks such as Iris Flower Classification, Credit Card Fraud Detection, and Sales Forecasting using models like Random Forest, Logistic Regression, and SARIMAX. My key strengths include:Advanced proficiency in Python, SQL, and data visualization (Power BI, Tableau)Strong experience in machine learning, predictive modeling, and data preprocessingProven ability to deliver insights and build high-performing modelsThis internship significantly boosted my skills in feature engineering, model evaluation, and real-world data problem-solving, preparing me to tackle complex data challenges.

Master Of Philosophy - Mphil, Data Science, A

Activities and Societies: #Data science #Data AnalystI am a student of data science in a good ranked and well known University.

Bachelor Of Information Technology, Information Technology