Monish Kumar Mohan Raj Email & Phone Number

Chicago, Illinois, United States

iManage is the company dedicated to Making Knowledge Work™. Its intelligent, cloud-enabled, secure knowledge work platform enables organizations to uncover and activate the knowledge that exists inside their business content and communications. Advanced Artificial Intelligence and powerful document and email management create connections across data, systems, and people while leveraging the context of organizational content to fuel deep insights, informed business decisions, and collaboration. Underpinned by best-of-breed security and sophisticated workflows and governance approaches, iManage has earned its place as the industry standard by continually innovating to solve complex professional challenges and enabling better business outcomes for over one million professionals across 65+ countries.

Illinois, United States

• Create and manage Hive tables, employing partitioning and bucketing strategies to optimize data storage and retrieval.• Proficiently handle diverse file formats generated by client applications, including CSV, JSON, Parquet, and others, ensuring seamless data integration.• Design and configure data pipelines in Azure Data Factory (ADF) utilizing Linked Services, Datasets, and Pipelines for efficient ETL processes.• Analyze and translate business user requirements into technical data solutions, facilitating effective communication between stakeholders.• Utilize Python scripting, PySpark, and Spark SQL to collect, process, and analyze large sets of structured and unstructured data, including custom scripting for data manipulation.• Contribute to the design and development of data ingestion, aggregation, and integration processes within the Hadoop environment.• Develop Sqoop scripts to import and export data from relational sources, focusing on efficient incremental data updates and maintaining data consistency.• Identify and rectify data inconsistencies from diverse sources, implementing data validation, cleansing, and transformation routines.• Oversee cluster installation, Data node commissioning, and Name node high availability, along with capacity planning and slots configuration.• Create Spark applications for data validation, cleansing, transformations, and custom aggregations. Visualize results using Tableau dashboards and Python Seaborn libraries, contributing to data interpretation and automation of deployment processes.

India

• Assisted in data analysis tasks using SQL, Python, and Excel to support decision-making processes. • Conducted exploratory data analysis using Python libraries such as NumPy, Pandas, and Matplotlib to identify trends, patterns, and outliers in the data. • Supported the design and development of data visualization dashboards using Tableau, presenting insights to stakeholders. • Assisted in data cleaning and transformation activities to improve data quality and consistency. • Collaborated with the team to identify data analysis opportunities and propose solutions. • Assisted in the implementation of data analytics projects, contributing to data collection, preprocessing, and analysis. • Conducted data mining and sentiment analysis on social media data to gain insights into customer preferences and behavior. • Assisted in conducting A/B testing experiments to evaluate the effectiveness of different marketing strategies. • Supported the creation of statistical models and algorithms to predict customer behavior and optimize business processes. • Assisted in developing reports and presentations to communicate findings and recommendations to stakeholders. • Participated in team meetings and brainstorming sessions, actively contributing ideas and insights. • Assisted in the documentation of data analysis processes and methodologies for future reference. • Demonstrated strong attention to detail and accuracy in data analysis tasks. • Adapted quickly to new technologies and tools, acquiring proficiency in advanced Excel and Google Sheets. • Assisted in data integration tasks, ensuring seamless flow of data between different systems and databases. • Actively participated in professional development activities, attending workshops and webinars on data analysis techniques and tools.

Master'S Degree, Information Technology

Advance Diploma In Computer Application, Computer Science, 60.75

Bachelor Of Commerce, Ism