About

Hiren Jagani is an experienced and result-driven Data Analyst with a passion for turning cutting-edge technologies into actionable insights. He is skilled in Python, R, SQL, and leverages Machine Learning Algorithms to provide valuable data analysis. With a background in mathematical captivation, Hiren is an avid believer in the power of consistent improvement and wakes up every day with a goal of learning something new. Hiren's expertise includes programming languages such as SQL (Advanced), Python (Intermediate), and R (Advanced), with proficiency in Pandas, Numpy, Scikit-Learn, Matplotlib, dplyr, ggplot2, caret, boot, kernlab, e1071, mlbench, rpart, Metrics, randomforest. He is also proficient in Machine Learning Algorithms such as Decision Tree, Regression and Classification, Bayesian Methods, SVM, KNN, Decision Trees, Dimensionality Reduction Algorithms, Ensemble Algorithms, Random Forest, Text Mining, Information Retrieval, and Recommender Systems. Additionally, Hiren is skilled in Statistical Techniques such as Regression Analysis, Time Series Forecasting, Hypothesis Testing, A/B Testing, Statistical and Inferential Analysis. Hiren's core competencies include Data Analytics, Data Visualization, Information Retrieval, Data Mining, and Machine Learning. He is currently working as a Business Intelligence Developer at qmerit, and has previously worked as a Data Analyst at Denken Solutions, Inc., and as a Research Assistant at Illinois Institute of Technology. Hiren holds a Master's degree in Computer Engineering from Illinois Institute of Technology and a Bachelor of Technology in BTech from Vishwakarma Institute of Technology. He is proficient in applications and databases such as Power BI, Tableau, Microsoft Office Suit, SQL, MySQL, Firebase, Visio, and GitHub. In summary, Hiren is a hands-on, agile, and experienced Data Analyst with a passion for Data Science and a strong background in mathematics. He is proficient in various programming languages and Machine Learning Algorithms, and his core competencies include Data Analytics, Data Visualization, Information Retrieval, Data Mining, and Machine Learning.