Kushal Sharma — Co-Founder

Start-up Owner with clear vision and mission of transforming businesses and individuals with strategies and technology. 13+ Years of Training Experience Training delivered on Big Data, Business Analytics, Business Intelligence, Machine Learning, Artificial Intelligence, prompt engineering, GenAI and Data Science Top clients – NPCI, Deloitte,Infosys, HDFC Bank, Happiest Mind, NRL Refinery Limited, TCS, Persistent Systems, Amdocs, Cognizant, Unique System Skills, WNS, Nasscom Foundation, MindMap Consulting,Mindgate. Training, Certifications and Workshops delivered for lateral participants including 600-700+ participants PAN India. Expertise in Hadoop Ecosystems such as HDFS, MapReduce, Spark, PySpark, Pig, Hive and NoSQL DB such as Cassandra, MongoDB, Hbase, and SAS. Delivered comprehensive training sessions on Finance and Risk Analytics, covering financial modeling, risk assessment techniques, data-driven decision-making, and industry-standard tools. Delivered Data Analytics in HR, Finance, Retail, Manufacturing Worked on pulling the data from MySQL database into HDFS, and Hbase using Sqoop, Flume, and Kafka. Industry experience in developing applications using J2SE/J2EE Technologies. Oracle Certified Sql Expert with strong knowledge of Databases. Hands-on experience in installation of CDH3/4/5 Hadoop cluster on CentOS/RHEL. Assisted with Performance Tuning, Debugging and Monitoring. Installing updates, Patches and Upgrades. Have hands-on experience in writing Map Reduce jobs in Java (MRv1 & MRv2), Hive and Pig Latin. Hands-on experience in Data Visualization tools such as Splunk, Excel, Power BI, Tableau and QlikView. Good Understanding of sub-components like Zookeeper, Sqoop, Oozie, Flume. Experience on working cloud-computing technologies like OpenStack and Amazon Web Services. Experienced in API management and security using Apigee Edge, with expertise in hybrid deployments, API proxy configuration, lifecycle management, and implementing secure authentication mechanisms like LDAP, SSL, and OAuth. Machine Learning, Data Munging, Noise reduction and data compression, Root cause analysis, Ranking and Reputation systems, Recommendation systems, User Personalization, Risk Models, Text Mining, Content recommendation, Business case structuring and formalization, BI Dashboards, Data strategy implementation, Visualization, Operational analytics. Strong Work Ethic, Eager to Learn and Explore New Technologies.

Stackforce AI infers this person is a Big Data and Data Science expert with extensive training and consulting experience.

Location: Pune, Maharashtra, India

Experience: 13 yrs 5 mos