Ritika Malik

Qualified Business Intelligence Analyst versed in data mapping and user acceptance testing to solve complex problems in high-pressure environments. Activates strong analytical skills to investigate trends in large amounts of data and formulate conclusions based on findings. Excels at cultivating, managing and leveraging client relationships to foster extended engagements and business opportunities. Ambitious, career-focused job seeker, anxious to obtain an entry-level Data analyst position to help launch career while achieving company goals.

• Madrid Solution Training Center - Data Science
• Python 101 for Data Science - IBM (03/2023) Python 101 Data Science Certificate from IBM, covering data manipulation, visualization, and introductory machine learning with Python.
• Big Data 101 (03/2023) Big Data 101 Certificate from IBM, covering fundamental concepts and technologies in big data, including storage, processing, analysis, and visualization.

• Titanic Survival Prediction using Supervised Machine Learning (https://www.kaggle.com/code/ritikamalik2002/titanic- ml-project#Work-Flow-:) (04/2023 - 04/2023) Worked on the Titanic dataset to predict survival outcomes using supervised machine learning techniques. Cleaned the data using Python libraries NumPy and Pandas and visualized it using Matplotlib and Seaborn. Used hyperparameter tuning to optimize the model's performance. Experimented with various regression algorithms and found that gradient boosting performed the best. Demonstrated proficiency in data cleaning, exploratory data analysis, and machine learning, showcasing problem-solving skills and ability to make predictions based on available data.
• Diving into Shark Tank: Analyzing Investment Deal Success Rates (01/2023 - 02/2023) Cleaned and visualized Shark Tank Part 1 dataset using Python's NumPy, Pandas, Matplotlib, and Seaborn. Identified trends and factors affecting deal success rates through data analysis and visualization. Demonstrated proficiency in data cleaning, visualization, and analysis using Python tools and techniques. Gained experience in working with real-world datasets and understanding data inconsistencies to ensure data accuracy and consistency. Applied data science skills to deliver insights into investment deals and improve decision-making processes.
• Analysis and Prediction of COVID-19 Outbreak Trends (03/2023 - 04/2023) Cleaned and transformed COVID-19 data using Python's NumPy and Pandas libraries to prepare it for analysis Cleaned and transformed COVID-19 data using Python's NumPy and Pandas libraries to prepare it for analysis Conducted statistical analysis to evaluate the effectiveness of public health interventions and vaccination campaigns. Contributed to the broader public understanding of the COVID-19 pandemic by presenting data-driven insights in a clear and accessible manner.