Jan 2025 – Present · 1 yr 5 mos

• Created and updated daily, weekly, and monthly supply chain performance metric reports to track operational efficiency and performance. Organized and maintained store-wise data to ensure accurate reporting and analysis of key supply chain metrics. Monitored and tracked manpower costs based on headcount data, identifying cost-saving opportunities and ensuring budget adherence. Identified and resolved data discrepancies to ensure data integrity and accuracy in reporting and analysis. Extracted, fetched, and integrated data from multiple databases to support business intelligence and reporting needs. Collected, organized, and prepared large datasets for analysis and reporting, ensuring data consistency and accuracy. Designed and developed interactive dashboards to visualize key performance indicators (KPIs), facilitating data-driven decision-making.

Jan 2024 – Present · 2 yrs 5 mos

• Trained professionals in Tableau to enhance data visualization and reporting skills for business intelligence initiatives. Contributed to various projects, including Moglix and Pallet Optimization, by performing data collection, cleaning, and exploratory data analysis (EDA). Collected, cleaned, and transformed large datasets to ensure high-quality, accurate data for analysis and reporting. Conducted exploratory data analysis (EDA) to uncover trends, patterns, and insights, supporting data-driven decision-making.

Oct 2023 – Sep 2024 · 11 mos · Greater Bengaluru Area · On-site

• Analysing large data sets by using skills like SQL and python

Sep 2023 – Nov 2023 · 2 mos · Noida, Uttar Pradesh, India · Remote

• Learned about data analysis by using Dashboards

Jan 2023 – Jan 2024 · 1 yr

• Proficient in utilizing CRISP ML(Q) methodology to tackle real-world business problems, with a focus on optimizing processes and minimizing manual intervention in manufacturing environments. Creating and regularly updating data dashboards to help define and measure progress towards KPIs across key business focus areas. Skilled in data preprocessing using Python, including tasks such as data type uniformity, duplicate removal, handling missing values, outlier detection and removal, and data distribution normalization techniques like Yeo Johnson Transformation. Experienced in analyzing and visualizing complex datasets using Power BI, creating insightful dashboards that offer comprehensive insights into manufacturing processes and quality control metrics. Proven track record of leveraging data analysis and visualization techniques to optimize quality check intervals, resulting in enhanced productivity and reduced waste in cement manufacturing processes. Data Integration and ETL: Learn, understand and maintain ETL processes to extract, transform, and load data from diverse sources into the data warehouse or BI platform, ensuring data quality and consistency.

Jan 2022 – Jan 2023 · 1 yr

• Analyze My Uber Drives-2016 dataset, focusing on city-specific performance data to gain insights into ride patterns, peak times, and city-wise performance. Developed competency in SQL (Structured Query Language), allowing for efficient retrieval, manipulation, and relational databases.

Jun 2020 – Oct 2025 · 5 yrs 4 mos · Bengaluru, Karnataka, India

Dec 2015 – Jul 2017 · 1 yr 7 mos

Dec 2015 – Jul 2017 · 1 yr 7 mos

• Provided application support for KPN, a Netherlands-based client, contributing to a 20% reduction in data entry time by implementing process improvements. Prepared reports for Epiphany campaigns, analyzing extensive marketing data to evaluate campaign success rates, leading to a notable efficiency improvement from 5.2% to 7.5%. Extracted data from client servers using SQL queries, enabling efficient sorting of over 1,000 rows of data daily. Managed data manipulation tasks in Oracle Toad, including removing duplicates and adding new data to optimize client lists. Resolved client list issues to facilitate score list creation, resulting in a 10% increase in efficiency for the company. Gathered volumes of structured data from various sources, ensuring data quality and integrity. Utilized statistical techniques & analytical tools to perform exploratory data analysis and uncover trends, patterns, and correlations. Created compelling data visualizations, including charts, graphs, and dashboards, to communicate findings effectively.