Kanishk Pant

Leading the Work Force Management team, streamlining processes and developing Power BI dashboards for enhanced insights.

All Metrics Tracker -

• Assisted in constructing a comprehensive tracker for monitoring metrics such as quality trends, AHT trends, and SL trends. This tracker offers detailed drill-down capabilities to ensure project sanity and control

Revamped Reports -

• Consistently assess and enhance WFM processes for improved efficiency. Partner with cross- functional teams to identify data needs and ensure data accuracy

• Assessed the potential for transitioning ongoing reports to Power BI environment and aided the team in constructing these reports on the Power BI platform

• Produced a project requirement document, aiding the team in recognizing challenges and needs for analysis, enhancing feasibility assessment and enabling quicker project completion TAT

Implementing Power BI dashboards, optimizing existing processes, and directing the Workforce Management team.

Integrated Headcount dashboard -

• Identified the ongoing process's difficulties and investigated the viability of shifting the entire process to power bi environment to reduce the impact of a change in the process

• Consolidated 6 lobs to collect total headcount counts directly from SAP dump into excel, then

generated multiple tables to map data from SAP to the database

• A row-level security scheme was used to protect LOB's data and assets Billable, Budgeted & Investment Trends dashboard -

• Developed a dashboard to evaluate current, historical, and expected trends in billable, budgeted, and invested headcount in various LOB's and other areas of the organization

• The dashboard assists the team in analyzing prior patterns and regulating the BBI in accordance

with the SOW ratios

Worked closely with the WFM and Operations teams to identify the issues and deliver solutions.

AEON (Assigning Entities on Network) -

• Created AEON, a ticketing platform for WFM team. Ops team uses it to request adjustments for personnel movement, stack management, and ad-hoc needs

• Introducing the AEON tool ensures timely request fulfillment, cutting request TAT by 15%. Ops team can simultaneously monitor ticket status and TAT, ensuring request completion and follow- up

TED (The Exception Tracker) -

• Designed an exception tracker for Ops team to swiftly report past day exceptions. Data is automatically forwarded to WFM team for daily analysis, preventing false or delayed reports and ensuring no exceptions are missed or lost

BOX & RTMS (Real Time Management System)-

• Analyzed the challenges faced by the WFM team in capturing attendance and aux breaks

• Developed a comprehensive login & aux management system called BOX, encompassing 24 forms for 4 locations in a single tool. This system records attendance, aux breaks, and job time for team members at each location

• RTMS utilizes the live feed from the BOX tool, delivering real-time insights to WFM & Ops teams, including login, break time, and logout defaulters. This empowers prompt issue resolution, enhancing governance transparency and accountability

Hawk-eye -

• Created a system to track the team's performance based on key performance indicators (KPIs) such as productivity, utilization, and quality

• In the PLX environment, I established a Google SQL database to gather essential data. Leveraging

Google flows and pipelines, I automated processing, ensuring minimal user intervention and uninterrupted operation

• Team was able to keep track of performance on a daily, weekly, and monthly basis, which helps them accomplish their goals successfully and in a timely manner

Worked on numerous quality projects and delivered on time, as well as assisting the team in identifying problem areas and providing solutions.

Data Mining & Reporting -

• Performed data management, Trend Analysis using Google PLX dashboard, and scripts

• Providing actionable plans to improve productivity & quality. Creating and publishing Daily, Weekly & Monthly reports to management and the Ops team

Auto-sampler / Allomatic -

• Devised an automated sampling method using Google scripts for quality audits. Team adjusts date and hour to acquire samples

Machine Learning Snapshot (Data studio) -

• Assisted by the supervisor, I designed a Data Studio visualization for a machine learning snapshot.

• This tool provides insights to monitor the performance of the quality team's projects by both customers and stakeholders

QASA (Quality Assurance System Automation) -

• Collaborated with developers to test and validate QASA tool's functionality and accuracy

• Devised test cases to evaluate QASA tool, detect issues, and ensure QA standard compliance