Yeesha Sharookhan

Collaborating closely with the Korn Ferry team to deliver high-quality data annotation services, which

plays a pivotal role in enhancing the accuracy and reliability of data analysis initiatives.

Meticulously annotating and labeling large datasets with precision and attention to detail, ensuring the

accuracy and reliability of training data for various AI and machine learning projects.

Working closely with cross-functional teams, including data scientists and project managers, to

understand project requirements, objectives, and timelines, thereby facilitating seamless communication

and efficient project execution.

Playing a pivotal role in maintaining data quality and consistency by conducting regular reviews and

audits of annotated data, promptly addressing discrepancies, and making necessary adjustments.

Contributing valuable insights during team meetings and discussions, sharing observations and

suggestions to improve annotation processes, increase efficiency, and optimize data labeling strategies.

Developing a deep understanding of the industries and domains associated with Korn Ferry's clients,

enabling the delivery of contextually relevant and meaningful data annotations that align with specific

project goals.

Actively participating in training sessions and knowledge-sharing initiatives, staying up-to-date with

the latest data annotation techniques, industry trends, and best practices, and integrating newfound

knowledge into daily tasks.

Assess complex client requirements and provide targeted solutions. Lead presentations of findings and solutions to clients, offering actionable plans

Conducted primary and secondary research to support and contribute to research assignments and worked on some challenging reports by building hypothesis. Analyse initiatives in the development of reports on data science talent analysis, internal job architecture analysis, technical competencies in the Edison Design System, imaging software talent analysis, and digital and AI talent analysis

Monitor and forecast the marketing & sales trends to forecast Economic indicators, Growth Drive, Location, Market Saturation, Pricing, players, Demand & Supply. Examined listed attributes while analyzing customer preferences to assess the potential sales of a product or service

Research based on client queries to create Account intelligence reports and delivered around 50+ reports by analyzing the attributes, such as Business and financial overview, Strategic & tactical signals, Globalization technology footprint, and outsourcing vendor analysis, and Points to ponder and key recommendation areas

Experience in using AWS EMR, Apache Airflow, and Databricks for data extraction from our database

Working knowledge of Amazon’s Elastic Cloud Compute (EC2) infrastructure for computational tasks and Simple Storage Service (S3) as a storage mechanism.

Specialize in Talent Intelligence, focusing on talent market intelligence and competitive intelligence reports

Create and review presentations/reports written across industries and technologies and add value to them

Create guidelines to streamline and be responsible for the overall quality of reports/ deliverables

Collaborate with global clients on hiring, center expansion, upskilling/reskilling, and talent acquisition across a wide range of tech and non-tech roles

Produced over 200 Talent Intelligence reports for diverse industry sectors across the US, LATAM, EMEA, and APAC regions

Possess expertise in consulting domains such as Telecom, IT/Tech, Automotive, CPG, Retail, and BFSI.

Carried out numerous management consulting engagements, including talent landscape, peer benchmarking, location analysis, start-up, and university landscape, talent cost analysis, etc

Key tasks include talent analysis, market sizing, deep dives by location, fresh talent supply, cost analysis, talent migration, talent hotspots analysis, etc.

Support primary consumer research to identify, analyze, track, and report actionable consumer insights to key business stakeholders to support key business initiatives

The project “Design of Student Counselling Portal and Online Mark Report Entry” involves developing a comprehensive digital platform that integrates two key functions: student counselling and academic mark reporting. The portal is designed to streamline the counselling process by offering tools for scheduling sessions, tracking progress, and managing interactions between students and counselors. Simultaneously, it includes features for electronically entering, updating, and tracking student grades and performance, thereby improving accuracy and efficiency in academic reporting. This integrated system aims to enhance overall student support by providing a unified interface for both educational and administrative tasks, fostering better communication and management among students, counselors, and educators.

• Mention measurable impact or results you helped deliver. Focus on the outcome of tasks. Example: Modified customer service support system to reduce complaints by 10%.

The project “E-Commerce Data Manipulation Using RPA” focuses on automating the manual process of searching for data using ISBN numbers of various books on e-commerce websites such as Amazon. Robotic Process Automation (RPA) involves the use of software with artificial intelligence (AI) and machine learning capabilities to handle high-volume, repetitive tasks that previously required human intervention. The software, known as “robots,” captures and interprets customer requirements, initiating operations across multiple digital systems. These software bots, which perform these tasks, can also be referred to as a virtual or digital workforce in today’s work environment. The results of the project highlight that factors such as security, privacy, reliability, and usefulness are crucial for advancing RPA in e-commerce websites.

• Mention measurable impact or results you helped deliver. Focus on the outcome of tasks. Example: Modified customer service support system to reduce complaints by 10%.