Suggestions
Jayant Tikmani
Senior Data Scientist at Carta - Ex-Expedia
Professional Background
Jayant Tikmani is a seasoned data scientist and tech lead with an exceptional track record of creating innovative data-driven solutions that address complex challenges across various domains such as fraud detection, operational efficiency, customer retention, and public health. With a diverse background in both academic and professional settings, Jayant has honed his expertise in data science, utilizing a blend of machine learning algorithms and data analysis techniques to empower organizations and leaders to make informed decisions.
Throughout his career, Jayant has held significant positions at renowned organizations. Currently, he serves as a Senior Data Scientist and Tech Lead at Carta, where he oversees projects that not only leverage predictive analytics but also enhance operational excellence through data-driven insights. Before joining Carta, he spent several years at Expedia Group, where he rose through the ranks from a System Engineer to a Senior Business Analyst within their Fraud Data Science team. In this role, he pioneered the development of predictive analytics models that interconnected fraud trends with business and financial data, enabling the company to scale detection solutions effectively.
Jayant's career is not only defined by his professional achievements but also by his commitment to sharing knowledge and fostering growth within the data science community. His background as a Graduate Teaching Assistant and a Data Science Curriculum Developer demonstrates his dedication to education, helping cultivate the next generation of data scientists.
Education and Achievements
Jayant's academic journey laid a strong foundation for his technical prowess and analytical thinking. He earned a Master of Science in Information Systems from the prestigious University of Maryland's Robert H. Smith School of Business, boasting an impressive GPA of 3.95. His academic experience allowed him to explore the intricate world of data management and analytics, which translated seamlessly into his career.
Prior to achieving his master's, Jayant earned a Bachelor of Engineering in Computer Engineering from the University of Mumbai. This technical background armed him with a deep understanding of programming and systems engineering, forming the backbone of his data science capabilities.
Over the years, Jayant has engaged in several impactful projects, showcasing his skills with languages such as Python, SQL, R, and C++. He has developed decision tree models, forecasting techniques, and optimization solutions that have made a significant impact on the organizations he has worked with. Further, his research on customer classification utilizing K-Means clustering illustrates his analytical acumen and commitment to advancing data science methodologies.
Technical Skills
Jayant's technical expertise encompasses a wide array of tools and technologies essential for data science and analytics. He is proficient in:
- Data Science Languages: Python (including libraries like scikit-learn, Pandas, NumPy, and SciPy), R (including caret and randomForest), and PySpark (MLlib).
- Data Visualization: Tableau, where he showcases his projects and insights through an active public profile.
- Database Technologies: Proficient in utilizing Hive (Hadoop), SQL Server, Spark SQL, MySQL, and Oracle for data management and analysis.
Notable Projects & Contributions
Among Jayant's various personal and professional projects hosted on his GitHub account, he actively participates in hackathons and collaborates on personal endeavors that align with his passion for data science. Additionally, his Tableau Public profile is a testament to his ability to create engaging visualizations that effectively communicate data insights.
His research publication, available at www.ijircce.com, on customer classification represents not only his commitment to exploring new avenues in data analytics but also contributes to the body of knowledge in the field.
Outside of Work
Beyond his professional obligations, Jayant is deeply invested in continuous learning and community engagement. He leverages platforms like GitHub to collaborate with peers, engage in hackathons, and work on personal projects that enhance his skills and broaden his knowledge in data science. His proactive approach to professional development reflects a genuine passion for his field, always seeking to push the boundaries of what data science can achieve.
In summary, Jayant Tikmani is not only an accomplished data scientist but also a thought leader who embraces the evolving landscape of data analytics. With a strong educational background, extensive experience, and a commitment to innovation, he continues to drive meaningful changes within organizations and the broader data science community.