Dheeksha R

Data Analyst

Chennai, India 9+ yrs exp 95 · Outstanding

About

Data Analyst with 4+ years of experience in quantitative analytics, statistical analysis and data-driven decision making. Proficient in Python, SQL (PostgreSQL) and Power BI with hands-on experience applying exploratory data analysis, regression, segmentation and hypothesis testing to derive actionable business insights. Skilled at developing and articulating strategic recommendations, identifying process improvement opportunities and communicating complex analytical findings to both technical and non-technical stakeholders. Experienced in cross-functional collaboration and managing multiple analytical projects in fast-paced environments.

Skills & Expertise (40)

Query Optimization Intermediate

7.4/10

Years Exp

Tableau Intermediate

7.4/10

Years Exp

Python Intermediate

7.4/10

Years Exp

Pandas Intermediate

7.4/10

Years Exp

Data Analysis Intermediate

7.4/10

Years Exp

Matplotlib Intermediate

7.4/10

Years Exp

MS Excel Intermediate

7.4/10

Years Exp

Postgresql Intermediate

7.4/10

Years Exp

MySql Intermediate

7.4/10

Years Exp

NumPy Intermediate

7.4/10

Years Exp

Stored Procedures Intermediate

7.4/10

Years Exp

Triggers Intermediate

7.4/10

Years Exp

Views Intermediate

7.4/10

Years Exp

A/B testing Intermediate

7.4/10

Years Exp

Stakeholder Management Intermediate

7.4/10

Years Exp

Cross-functional Team Leadership Intermediate

7.4/10

Years Exp

Project Management Intermediate

7.4/10

Years Exp

Root Cause Analysis Intermediate

7.4/10

Years Exp

Exploratory data analysis Intermediate

7.4/10

Years Exp

Regression Analysis Intermediate

7.4/10

Years Exp

Hypothesis Testing Intermediate

7.4/10

Years Exp

Segmentation Intermediate

7.4/10

Years Exp

Correlation Intermediate

7.4/10

Years Exp

Variance Analysis Intermediate

7.4/10

Years Exp

KPI Reporting Intermediate

7.4/10

Years Exp

Trend Analysis Intermediate

7.4/10

Years Exp

Power BI Intermediate

7.4/10

Years Exp

Data Mining Intermediate

7.4/10

Years Exp

Cluster Analysis Intermediate

7.4/10

Years Exp

Jira PowerPoint New Relic Splunk Bootstrapping Survival Analysis Scrum Qualtrics Kanban Sprint planning Retrospectives

Work Experience

Assistant System Engineer

Tata Consultancy Services, India

Feb 2022 - Present

Data Analyst & Scrum Lead | Retail Stores Project: Applied quantitative analytics techniques including exploratory data analysis (EDA), regression, segmentation and cluster analysis on large-scale retail datasets using Python and PostgreSQL to identify business trends, data anomalies and process improvement opportunities. Developed and optimized 200+ SQL queries for data extraction, validation and reporting, improving data retrieval performance by up to 40%. Developed and articulated strategic recommendations through Power BI and Tableau dashboards and reports, tracking operational metrics, sprint performance and business KPIs for both technical and non-technical stakeholders. Collaborated with product owners, business stakeholders and technical teams to understand reporting requirements and deliver analytical solutions. Applied statistical techniques including hypothesis testing, correlation and variance analysis to operational data to identify bottlenecks, improve workflows and support continuous improvement initiatives. Presented insights and recommendations to stakeholders through dashboards, reports and sprint reviews. Managed multiple analytical projects simultaneously in a fast-paced Agile environment, ensuring timely delivery of business requirements with strong attention to detail and ownership. Facilitated cross-functional collaboration among development, QA and business teams to resolve data-related issues and improve reporting accuracy.

Database Developer

Tata Consultancy Services, India

Feb 2022 - Present

Retail Stores Project: Designed and maintained database schemas comprising 200+ tables, views, stored procedures and triggers. Developed SQL-based analytical solutions to support business reporting and operational monitoring. Implemented data validation and quality checks to ensure accuracy and reliability of reporting datasets. Worked closely with application teams to understand data structures, business rules and reporting requirements. Supported data extraction, transformation and analysis activities for various business initiatives.