Headline

Senior Software Engineer | Tableau Desktop Specialist | SQL | Python | Data Analyst | Tableau Prep | ML

About

I am a Software Engineer specializing in the end-to-end delivery of data-driven reporting solutions, with experience managing the complete reporting lifecycle from requirements gathering and data analysis to report development, visualization, testing, and delivery. I work closely with business stakeholders to understand their objectives, translate business requirements into effective technical solutions, and deliver reports that provide clear, actionable insights. I focus on developing solutions that improve reporting efficiency, accuracy, and usability while ensuring alignment with business goals. By streamlining reporting workflows and optimizing data visualization processes, I help reduce manual effort, improve data accessibility, and enable stakeholders to make faster and more informed decisions. With expertise in data analysis and visualization, I have contributed to the development and delivery of 100+ reports and dashboards, transforming complex datasets into intuitive and actionable visual insights. My approach combines technical expertise, analytical thinking, and a strong understanding of business requirements to deliver solutions that create measurable value. I am a certified Data Analyst and Tableau Desktop Specialist, with a strong foundation in data analytics, visualization, dashboard development, and reporting solutions. I am passionate about using data and technology to solve business challenges, optimize processes, and create impactful solutions that support better decision-making.

Location

Bengaluru

AI stack

claude

gemini

github copilot

perplexity

claudecode

githubcopilot

Work experience

Senior Software Engineer at Idexcel, Apr 2026 - Present · 6 mos, Lead the end-to-end development and delivery of dynamic, data-driven reports and dashboards, translating complex business requirements into scalable and user-focused reporting solutions. Partner with business stakeholders and cross-functional teams to gather, analyze, and translate requirements into clear functional and technical specifications. Manage stakeholder expectations throughout the reporting lifecycle, ensuring solutions are aligned with business objectives, user needs, and project priorities. Provide guidance and support to team members, contributing to effective task allocation, knowledge sharing, quality assurance, and timely delivery of reporting solutions. Transform complex datasets into meaningful, actionable insights through effective data analysis and visualization, enabling informed business decision-making. Own the reporting workflow from data extraction and transformation through visualization, testing, validation, and final delivery. Collaborate with technical and business teams to identify process improvement opportunities and optimize reporting workflows for greater efficiency, accuracy, and usability. Leverage expertise in data analytics and Tableau to deliver interactive dashboards and reporting solutions tailored to client and business requirements. Certified Data Analyst and Tableau Desktop Specialist with a strong focus on data-driven problem solving, stakeholder collaboration, and delivering high-quality analytical solutions.

Software Engineer at Idexcel, Feb 2023 - Mar 2026 · 3 yrs 2 mos, Skilled in developing dynamic, data-driven reports and interactive dashboards tailored to client and business requirements. Experienced in translating complex data into clear, actionable insights that support informed decision-making. Proficient in managing end-to-end reporting workflows, from data extraction and transformation to analysis, visualization, and final delivery. Certified Data Analyst and Tableau Desktop Specialist, with expertise in data visualization and dashboard development.

Data Analyst at AnalytixLabs, Jul 2022 - Jan 2023 · 7 mos, Bengaluru, Karnataka, India, 1. Banking Fraud Detection Developed a machine learning-based fraud detection solution to identify potentially fraudulent banking transactions and improve the accuracy of fraud risk identification. Performed data preprocessing, exploratory data analysis, feature engineering, and data quality assessment to prepare transaction data for modeling. Applied and evaluated multiple machine learning classification algorithms to distinguish between legitimate and potentially fraudulent transactions. Addressed challenges associated with imbalanced datasets by applying appropriate sampling and evaluation techniques. Evaluated model performance using metrics such as Precision, Recall, F1-Score, Accuracy, and ROC-AUC, with a focus on minimizing false negatives in fraud detection. Analyzed model outcomes and identified key transaction patterns and features contributing to fraud predictions. 2. Machine Learning Based Classification and Regression Developed machine learning models for both classification and regression use cases as part of an end-to-end data science workflow. Conducted data preprocessing, exploratory data analysis, feature selection, feature engineering, and model development. Implemented and compared multiple machine learning algorithms to identify suitable models based on business objectives and predictive performance. Evaluated classification models using metrics including Accuracy, Precision, Recall, F1-Score, and ROC-AUC. Assessed regression models using appropriate performance metrics to measure prediction accuracy and model effectiveness. Performed model tuning and validation to improve predictive performance and ensure robust results. Interpreted model outputs and translated analytical findings into meaningful insights to support data-driven decision-making.

Education

Bachelor's degree in Information Technology, Mumbai university

Bachelor of Science, Information Technology, University of Mumbai