Kaushal Singh

Data mining or extracting usable data from valuable data sources. Using machine learning tools to select features, create and optimize classifiers. Carrying out preprocessing of structured and unstructured data. Enhancing data collection procedures to include all relevant information for developing analytic systems. Processing, cleansing, and validating the integrity of data to be used for analysis. Analyzing large amounts of information to find patterns and solutions. Developing prediction systems and machine learning algorithms. Presenting results in a clear manner. Propose solutions and strategies to tackle business challenges. Collaborate with Business and IT teams.

Using automated tools to extract data from primary and secondary sources. Removing corrupted data and fixing coding errors and related problems. Developing and maintaining databases, data systems – reorganizing data in a readable format. Performing analysis to assess quality and meaning of data. Filter Data by reviewing reports and performance indicators to identify and correct code problems. Using statistical tools to identify, analyze, and interpret patterns and trends in complex data sets that could be helpful for the diagnosis and prediction. Assigning numerical value to essential business functions so that business performance can be assessed and compared over periods of time. Analyzing local, national, and global trends that impact both the organization and the industry. Preparing reports for the management stating trends, patterns, and predictions using relevant data. Working with programmers, engineers, and management heads to identify process improvement opportunities, propose system modifications, and devise data governance strategies. Preparing final analysis reports for the stakeholders to understand the data-analysis steps, enabling them to take important decisions based on various facts and trends.

Develop analytics to identify trend lines across several data sources within the organization. Examine and evaluate existing business practices and systems, and proffer suggestions aimed at creating efficiency and streamlining operations, while maintaining or increasing compliance rates. Apply predictive analysis and tools to forecast and employ business analytics (including an enhanced ability to quantify and qualify data). Undertake operational research to identify and recommend optimal/near-optimal solutions to complex challenges.

Undertaking data collection, preprocessing and analysis. Building models to address business problems. Presenting information using data visualization techniques.