Created and taught a 12-week data science program covering Python, R, SQL, and ML, resulting in a 95% job placement rate for 30 students.Designed and led a 12-week data science boot camp for 150 professionals, focusing on Python, R, ML algorithms, and data visualization.Developed a 200-hour data science curriculum for 300+ professionals, emphasizing Python, R, ML algorithms, and data visualization, with a 95% completion rate

Mentored over 100 aspiring data scientists in Python, ML, and SQL, achieving a 95% project success rate.• Designed an inclusive curriculum, fostering a 25% boost in student engagement and a 20% rise in knowledge retention.• Facilitated machine learning workshops, enhancing participant comprehension by 30% and their model implementation skills.• Employed data-driven teaching methods, resulting in a 40% increase in student satisfaction and a 15% rise in post-training job placements.

• Processed and analyzed 10,000+ daily records using Python and SQL, reducing data processing time by 20% and enhancing decision accuracy.• Employed Machine Learning to boost forecasting accuracy by 15%, optimizing inventory management and cutting excess stock by 10%.• Created interactive Python-based data visualizations, improving data understanding by 25% and accelerating quarterly reporting by 30%.• Conducted statistical analysis on customer behaviour, elevating customer… Show more • Processed and analyzed 10,000+ daily records using Python and SQL, reducing data processing time by 20% and enhancing decision accuracy.• Employed Machine Learning to boost forecasting accuracy by 15%, optimizing inventory management and cutting excess stock by 10%.• Created interactive Python-based data visualizations, improving data understanding by 25% and accelerating quarterly reporting by 30%.• Conducted statistical analysis on customer behaviour, elevating customer retention by 12% and increasing revenue by 7% through targeted marketing campaigns Show less

•Performed exploratory data analysis (EDA) on diverse datasets using statistical methods and visualization tools like Python, Power BI to identify patterns, trends, andinsights.• Created concise and informative reports summarizing key findings from data analysis, helping stakeholders make informed decisions and understand businessimplications.• Cleaned and preprocessed raw data, ensuring data quality and integrity for accurate analysis; collaborated with team members to optimize… Show more •Performed exploratory data analysis (EDA) on diverse datasets using statistical methods and visualization tools like Python, Power BI to identify patterns, trends, andinsights.• Created concise and informative reports summarizing key findings from data analysis, helping stakeholders make informed decisions and understand businessimplications.• Cleaned and preprocessed raw data, ensuring data quality and integrity for accurate analysis; collaborated with team members to optimize data pipelines and enhanceoverall data efficiency. Show less