I am a data scientist with a passion for extracting meaningful insights from complex datasets. My daily routine involves harnessing the power of Python, R, and SQL to analyze and interpret data, while also leveraging machine learning algorithms and statistical methods to solve real-world problems. I have experience with data visualization tools such as Power BI and Tableau, enabling me to present data-driven stories in a compelling and informative manner. Continuously exploring advancements in AI and cloud technologies, I strive to deliver actionable insights that drive business decisions and innovation. I excel at transforming raw data into strategic assets and enjoy the process of uncovering hidden patterns and trends. I do it well.
{July 2024 - Ongoing}
1. Analyzed political data to forecast trends and election outcomes.
2. Utilized Excel, Power BI, and Python for data processing and visualization.
3. Developed predictive models and real-time monitoring dashboards.
4. Presented insights to client for strategic decision-making.
{April 2024 - July 2024}
1. Developed a fashion recommender system for women's ethnic wear using deep learning and computer vision.
2. Utilized ResNet models for image embeddings to provide accurate recommendations.
3. Collaborated with data scientists and engineers to enhance system performance.
{March 2024 - Aoril 2024}
1. Conducted supervised and unsupervised machine learning projects at Sparks Grip Foundation.
2. Performed exploratory data analysis (EDA) on retail, terrorism, and sports datasets.
3. Analyzed COVID-19 timelines using ARIMA models, contributing insights into the pandemic's impact.
4. Developed skills in data analysis, statistical modeling, and collaborative problem-solving.