Open to opportunities

Navya M

@navyam

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Data Analyst with 3+ years of experience in analytics and automation.

United States

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What I'm looking for

I am looking for a role that fosters innovation, encourages collaboration, and offers opportunities for professional growth in data analytics.

I am a Data Analyst with over three years of experience specializing in data analytics, automation, and cloud pipeline development. My expertise lies in utilizing Python, SQL, and machine learning to build scalable analytics pipelines that automate reporting and deliver actionable insights. At Kohler Co., I designed SQL-based benchmarking pipelines that improved SLA compliance and significantly reduced manual reporting efforts.

Throughout my career, I have successfully led the development of Power BI dashboards that visualize key performance indicators across multiple product lines, enhancing reporting efficiency. My work in automating data extraction and reporting has cut down manual report generation time dramatically, allowing for quicker delivery of insights to stakeholders. I thrive on collaborating with cross-functional teams to validate model outputs and drive data-driven strategies that reduce churn and improve customer satisfaction.

Experience

Work history, roles, and key accomplishments

Programmer Analyst

Cognizant Technology Solutions

Jan 2022 - Present (3 years 6 months)

Designed SQL-based benchmarking pipelines to analyze chatbot and customer agent performance, improving SLA compliance and reducing manual reporting effort by 40%. Led end-to-end development of Power BI dashboards visualizing KPIs (CSAT, escalation rate) across 5+ global product lines, improving regional reporting efficiency by 15%.

SQL Power BI Python Pandas NumPy REST APIs Data Validation Machine Learning Customer Segmentation

Data Analyst Trainee

Cognizant Technology Solutions

Dec 2020 - Present (4 years 7 months)

Implemented Power BI dashboards tracking chatbot KPIs (resolution time, CSAT, response rate) used in quarterly executive reviews, improving visibility across 3 departments. Deployed Python-based alerting scripts to detect anomalies in chatbot workflows, improving issue detection and reducing downtime by 25%.

Power BI Python Chatbot KPIs Anomaly Detection Data Analysis Collaboration

Data Analyst Intern

Cognizant Technology Solutions

Jan 2020 - Present (5 years 6 months)

Designed and optimized scalable data pipelines in Python and Apache Spark to support ML model evaluation, reducing feature engineering time by 20% for lead scoring use cases. Built data validation scripts in customer service logs (incomplete flows, excessive wait times), reducing manual QA effort by 50%.

Python Apache Spark Model Evaluation Data Pipelines Data Validation Logistic Regression Decision Trees Lead Scoring

Education

Degrees, certifications, and relevant coursework

The University of Texas at Arlington

Master of Science, Data Science

Currently pursuing a Master of Science in Data Science, focusing on advanced analytical techniques and machine learning applications. Gaining expertise in statistical modeling, data visualization, and big data technologies to solve complex real-world problems.

Dayananda Sagar University

Bachelor of Technology, Computer Science and Engineering

Completed a Bachelor of Technology in Computer Science and Engineering, building a strong foundation in programming, algorithms, and software development. Acquired comprehensive knowledge in core computer science principles and their practical applications.