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Introduction

Hello! I am Sunidhi Sharma, currently pursuing my Master of Science in Business Analytics (MS-BANA) at the University of Cincinnati.
I am passionate about applying data-driven insights to transform complex datasets into clear, actionable strategies that inform decision-making.

Before graduate school, I worked in talent analytics, recruitment optimization, and workforce planning with Infosys, Korn Ferry, and Publicis Sapient. In these roles, I combined business context with analytics tools to design dashboards, build predictive models, and automate reporting systems that improved hiring efficiency and workforce diversity.

Now, I am expanding my technical expertise in R, Python, SQL, Tableau, and GitHub to prepare for advanced data science and analytics roles in the technology and financial sectors.

Academic Background

MS, Business Analytics — University of Cincinnati (Expected Aug 2026)
Coursework includes Data Visualization, SQL/SSMS, Simulation Modeling with Python, and R for Statistical Computing.
MBA, Human Resources — Panjab University (2020)
Focused on HR analytics, organizational behavior, and recruitment strategies.
BE, Food Technology — Panjab University (2018)

Professional Experience

Associate Recruiter — Publicis Sapient (2025)
Analytics-driven hiring for Cloud & AI roles.
- Designed dashboards to track hiring progress and forecast demand.
- Enhanced diversity pipeline forecasting across technology teams.
- Leveraged predictive insights to improve time-to-fill.
Senior Research Analyst — Korn Ferry (2024–2025)
Applied analytics for global workforce projects.
- Built predictive models for hiring and retention.
- Applied NLP to resumes, cutting sourcing time by ~30%.
- Delivered KPI dashboards for leadership reporting.
Senior Associate Lead — Infosys (2021–2024)
Directed analytics-driven hiring initiatives.
- Recruited 150+ SAP professionals in 6 months.
- Created real-time dashboards cutting time-to-fill by 30%.
- Led diversity hiring initiative, raising female representation by 20%.

Skills

R — Data wrangling (dplyr, tidyr), visualization (ggplot2), R Markdown
Python — pandas, numpy, simulation modeling basics
SQL — Advanced querying (joins, CTEs) in T-SQL/SSMS
Tableau & Power BI — executive dashboards, KPI storytelling
Excel (Advanced), Git/GitHub for project management and version control

Selected Projects

Recruitment Funnel Optimization — Analyzed 50k+ ATS records, identified bottlenecks, built dashboards that reduced hiring cycle time by 18%.
Employee Retention Modeling — Created attrition risk models on 20k employee records, enabling proactive actions that lowered early attrition by 12%.

Why Analytics?

Analytics excites me because it blends problem-solving, critical thinking, and storytelling.
I enjoy uncovering patterns in data, questioning assumptions, and presenting insights in ways that drive action.

Having worked at the intersection of human capital and data, I’ve seen how analytics can solve real business challenges — from improving hiring pipelines to predicting employee turnover. My graduate studies are sharpening these skills for broader applications in finance, technology, and consulting.

My long-term goal is to contribute as a data scientist or analytics professional in top-tier organizations, bringing together my business background and technical expertise to deliver measurable impact.

Professional Bio and Career Aspirations

Sunidhi Sharma

September 06, 2025