N.G. Bhanupriya

• Salon Analysis: Real Time data analysis from R&D data.
  Optimized machine learning models for predicting customer behavior, leading to more targeted marketing campaigns and increase in Sales.
• Fragrance Analysis: R&D Data analysis. Modeled predictions with feature selection algorithms.
• Compiled, cleaned and manipulated data for proper handling.
  Developed Models with Hypertuning and polished visualizations to share results of data analyses.
• Distributer Analysis: Analyzed large datasets (data from Kantar & Nielsen) to identify trends, buying patterns and behaviors of customers all over India.
• Conducted comprehensive market analysis to inform product development strategies, identifying key growth opportunities.
• Reduced forecast errors by applying advanced statistical techniques to historical data, improving inventory management.
  

Built a supervised model to better quality employment: Using a supervised
learning technique to analyze and withstand the Human capital perception
towards better job quality.
Data cleaning and missing value handling for the customer raw data using
ML Algorithms.
Developed a Linear Regression model to check the Significance value of
Demand Rate (No.) : Interacting and facing client on regular basis for model
updates and changes; Worked on No. of Demands received and No. of
Demands completely filled by the company. Did Documentation of entire
process for client and Hierarchy. This model helped in anticipating the future
loses due to Demand Rate.
Developed a Logistic Regression model to predict the rate of Deployment of
Employees: The primary objective of this model is to sum up through the
symptoms of various degrees of inefficiency of the recruitment process in
order to prevent their possible decision to leave the company before the
contract period ends.
Ensured compliance with industry regulations and data privacy standards,
mitigating risks associated with sensitive information handling.
Evaluated emerging technologies to assess potential applications within the
organization''s existing infrastructure or future projects.
Cleaned transformed, and analyzed large datasets to uncover hidden
trends and patterns for actionable insights.
Streamlined data collection methods to improve quality control measures
and minimize errors in analysis results.

Developed a Search Analytics dashboard using Power BI : The primary
objective of this dashboard is to track the key metrics of Company's Agents,
and to assist the organization to understand the value of its online presence.
Designed a new Recruitment Strategy that can boost up the annual turnover
and double the profit margin of the company as compared to 2020-21.

Clients: KN Manufacures, Tayelamay & Sons, KUROS Construction, Aladdin
Containers - Dubai, NHS - UK, Felda Global - Malaysia, Rey & Lenferna -
Mauritius, Shapoorji - Saudi Arabia
Application : emigrate.gov.in/ext
Description:
Implemented performance reviews and motivational strategies to elevate
HR team results.
Recruited 300 plus workers of various categories that include Blue Collar,
White Collar from India to countries like Mauritius, Malaysia, Dubai, Saudi
Education
Arabia, Qatar, Oman, Kuwait , UK etc
Provided guidance on employee relations and matters of corrective action
that reduced Attrition rates by 8%.

Project : Personal Line System (PLS)

Client : Chubb Insurance Company (ACE)

Environment : ASP.Net, SQL Server 2008 R2, C#

Framework : ITIL Framework

• Developer needs to optimize and monitor the jobs. OCP (On Call Project) tickets will be created in Jira Application where the bug has to be fixed with three to five days of SLA (Service Level Agreement).
• Business Clients will request the Developer to enhance or optimize the existing system. Development tickets will be created by client which will be handled by the assignee.
• Batch Jobs will run on a regular basis where the endorsement or renewal of insurance policies will happen.
• Understanding Business Requirement Specifications, Code Development and Enhancement using C# , Writing SQL stored procedures, Queries and Sub Queries.
• Incident Ticket solving, monitoring the batch and consolidation of batch status of various applications, sending weekly and monthly reports.

Responsibilities:

• Code Development and Enhancement using C#
• Bug fixing
• Daily Maintenance ticket solving
• Writing SQL stored procedures, Queries and Sub Queries