Ancita Dsouza CV - MSc Data Science, Python, Machine Learning

ANCITA CAROLINE DSOUZA United Kingdom | +44 7393530112 | [email protected] | linkedin.com/in/ancitadsouza PROFESSIONAL SUMMARY Motivated MSc Data Science graduate with practical experience in Python programming, data analysis, and machine learning. I am proficient in the development of pre...

ANCITA CAROLINE DSOUZA United Kingdom | +44 7393530112 | [email protected] | linkedin.com/in/ancitadsouza PROFESSIONAL SUMMARY Motivated MSc Data Science graduate with practical experience in Python programming, data analysis, and machine learning. I am proficient in the development of predictive models, the visualisation of results, and the development of data-driven solutions. I am interested in a data science position that allows me to apply my technical expertise to solving problems in the real world. SKILLS - Programming Languages: Python, SQL, R - Data Science Tools: Scikit-learn, TensorFlow, Keras, Pandas - Data Visualization: Matplotlib, Seaborn, Plotly, Tableau - Cloud Platforms: Google Colab - Machine Learning: Classification, Regression, Clustering EDUCATION MSc Data Science, Kingston University London, United Kingdom | 2024 Modules: Applied Data Programming, Data Analytics & Visualization, Databases and Data Management, Machine Learning & Artificial Intelligence Project: Data-Driven Dynamic Pricing Strategy of UK Used Car Prices: A Machine Learning Solution Harnessing Advanced Analytics B.E. Computer Science and Engineering, Sahyadri College of Engineering and Management, India | 2022 Project(s): Concrete Crack Detection, Calories Burnt Prediction, Stock Management System EXPERIENCE AI & ML Intern, Ladess Technologies Pvt. LTD., India | Aug 2022 – May 2022 * Assisted in developing machine learning models for predictive analytics. * Pre-processed large datasets, reducing data preparation time by 20%. * Improved model accuracy by 15% using hyperparameter tuning technique. Campus Ambassador, Internvala, India | Oct 2020 * Promoted the company’s digital products to increase campus engagement. PROJECTS Data-Driven Dynamic Pricing Strategy for the UK Used Car Prices: A Machine Learning Solution Harnessing Advanced Analytics | Feb 2024 – Sep 2024 * Conducted in-depth data analysis to evaluate current strategies. Implemented machine learning models to predict second-hand cars using dynamic pricing. * Tools & Technologies: Python, Pandas, NumPy, Scikit-learn, Matplotlib, Seaborn, Plotly and Google Colab * Outcome: Achieved 88% improvement in pricing accuracy. Successfully developed a dynamic pricing model that adapts to real-time changes in demand, market fluctuations and car conditions. Concrete Crack Detection | Aug 2021 – Jun 2022 * Built a machine learning model using convolutional neural networks (CNN) to detect cracks in concrete structures. * Tools: Python, TensorFlow * Outcome: Achieved and accuracy of 92% in detecting dangerous cracks. Calories Burnt Prediction | Apr 2022 – May 2022 * Developed a predictive model using XGBoost to estimate calories burned during physical activities. * Tools: Python, XGBoost, Pandas, NumPy CERTIFICATIONS * TCS iON CareerEdge – Young Professional (Jun 2023) * Rakuten Product Conference – Applied AI (Aug 2021)