Mallikarjuna Reddy

Data Analyst

Glauben Technologies•  December 2022 - October 2024•  Bengaluru, INDIA

Leveraged SQL to extract, analyze, and interpret recruitment and business data, ensuring actionable insights for operational improvements and strategic planning. Created interactive Tableau dashboards to visualize key recruitment metrics, such as consultant performance, candidate pipeline trends, and client requirements, enabling data-driven decisionmaking. Conducted exploratory data analysis (EDA) using Python to clean, process, and transform raw recruitment and business datasets into structured formats for reporting and analysis. Automated reporting workflows, including candidate tracking and consultant activity summaries, significantly improving efficiency in data reporting. Developed predictive models in Python to forecast recruitment trends, candidate engagement levels, and time-to-hire metrics, enhancing workforce planning strategies. Provided detailed insights into client and candidate behavior through advanced analytics, including segmentation, trend analysis, and performance tracking. Collaborated with recruitment and business teams to identify bottlenecks and optimize operational processes using data-driven methodologies. Delivered ad-hoc analyses on recruitment KPIs, consultant performance, and operational metrics.

Data Science Intern

AI Variant•  December 2021 - September 2022•  Bengaluru, INDIA

Built machine learning models, including a Resume Classification System and Water Potability Prediction Model. Utilized SQL for data extraction and transformation to support analytical processes. Conducted exploratory data analysis and feature engineering for predictive modeling using Python. Designed dashboards in Tableau to visualize insights and improve decision-making. Applied NLP techniques for text classification, improving model accuracy and efficiency. Deployed machine learning models using streamlit library by generating interactive visualization for the original data along with the model results which makes user easier to find insights.