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Sanjeev Chakravarty
Sr. Director of Engineering, Analytics & AI at SAP Sales Cloud
Professional Background
Sanjeev Chakravarty is a seasoned technical leader with a wealth of experience in predictive analytics and system engineering. Over the course of his career, he has successfully transformed complex predictive analytics concepts into practical, high-volume production deployments. His expertise lies in architecting and developing high-performance, scalable systems tailored for a range of applications, including enterprise eCommerce and mobile platforms.
With a strong passion for building cohesive teams, Sanjeev excels at tackling challenging problems which often arise in large-scale integrated systems. His leadership has enabled him to effectively guide teams through project lifecycles, particularly in the realms of web application development and ad server workflow implementations. Thriving in dynamic startup environments, his innovative mindset and problem-solving skills have garnered him a reputation as a go-to expert in the technology sphere.
Education and Achievements
Sanjeev's academic qualifications showcase his dedication to mastering his field. He completed his Master's Degree in Computer Systems Network with an impressive GPA of 4.72 at UC Irvine. His pursuit of excellence in data analytics led him to earn a Graduate Certificate in Data Mining & Applications from the prestigious Stanford University, solidifying his proficiency in the latest techniques and applications of data science. Additionally, he holds a Bachelor of Engineering degree in Computer Science from Dibrugarh University, where his passion for technology began to flourish.
In his professional journey, Sanjeev has held prestigious positions within notable organizations, further bolstering his reputation as a skilled engineer and leader. He has served as the Senior Director of Engineering for Analytics & AI at CallidusCloud, where his strategic vision has driven cutting-edge analytics projects and initiatives.
Prior to this role, he took on various key positions at CallidusCloud, including Director of Engineering for Analytics, demonstrating a consistent upward trajectory in his career. His contributions to Badgeville, where he held the titles of Director of Engineering and Principal Member of Technical Staff, were also pivotal in shaping the company's analytics capabilities. Sanjeev's early career featured significant roles at PayPal/eBay, where his technical acumen contributed to the robust infrastructure of the online payment giant. Additionally, as a Software Engineer at BlackArrow, he played an instrumental role in developing advanced web applications tailored to client needs.
Notable Expertise
Sanjeev's wealth of knowledge encompasses a wide array of data science and machine learning techniques, including classification, clustering, regression, PCA, anomaly detection, and association rules, along with feature engineering practices. His specialties extend to descriptive, predictive, and prescriptive analytics, with a profound understanding of segmentation, scoring engines, targeting, personalization, and real-time analytics.
In the domain of Sales Performance Management, his expertise in visualization complements his analytics skills, allowing him to present data-driven insights in a clear and impactful manner. This blend of technical know-how and business acumen positions him as a valuable asset for any organization seeking to leverage data to enhance operational effectiveness and drive strategic decision-making.
Tools and Technologies
A strong proponent of utilizing cutting-edge tools and platforms, Sanjeev is well-versed in an extensive list of programming languages and data manipulation technologies. His skill set includes proficiency in Dataiku, Scala, Spark, R, H2O, Impala, Tableau, HBase, Hadoop, Hive, and Akka, showcasing his versatility and ability to adapt to new technologies swiftly. His core programming skills include Java, C++, Python, and PHP, which enables him to develop robust, efficient solutions across a variety of applications.
Sanjeev's expertise also encompasses data storage and retrieval technologies such as MongoDB, Kafka, Flume, Redis, and Memcached, critical for handling high-volume analytics tasks. His experience extends into Unix system administration, project management methodologies including Scrum and Agile practices, and tools such as Git, SBT, and Maven.
Shaping future innovations at various organizations has highlighted Sanjeev's capability to integrate complex systems while ensuring high performance and reliability. He is actively engaged in applying data mining techniques to analyze customer behavior, leveraging insights to inform business strategies and improve customer engagement.
Achievements
Sanjeev Chakravarty's journey through the tech industry reflects a series of significant achievements, including his ability to lead teams through seasons of intense growth and implementing innovative solutions that scale effectively. His success at CallidusCloud stands as a testament to his leadership; he has orchestrated complex analytics projects that have positioned the company at the forefront of the market in harnessing AI and predictive analytics. His direct involvement in web application development at startup companies like Good Technology showcases his entrepreneurial spirit and adaptability in various work environments. This adaptability has proven invaluable as it aligns seamlessly with the fast-paced nature of today's tech landscape.
