Data Analyst, Power Bi, SQL, Excel, Python, Data Analytics

Sakshi Manoj Kumar

Dallas, Texas 806-***-**** *************@*****.*** LinkedIn

WORK EXPERIENCE

Ekathva Innovations Karnataka, India

Data Analyst Jun 2022 - Jul 2023

Cleaned, processed, and transformed sales and revenue datasets using SQL and Excel to prepare structured inputs for dashboard development, improving data quality and reducing reporting errors by 20%. Built and deployed 15+ dynamic Power BI dashboards utilizing advanced DAX formulas, slicers, and drill-through filters to present KPIs and performance trends, supporting faster and more informed business decisions. Collaborated with stakeholders to define key metrics and reporting needs, translating business requirements into impactful Power BI visualizations. Later, AWS S3, EMR (Apache Spark), Athena, and QuickSight were integrated to deliver scalable cloud-based reporting solutions, reducing data processing time by 4 hours. Ekathva Innovations Karnataka, India

Data Analyst Intern Apr 2022 - Jun 2022

Engineered and executed a comprehensive ETL pipeline using PySpark and Pandas to ingest, cleanse, and transform over 1 million rows of tourism data, ensuring high-quality inputs for advanced analytics and modeling. Architected and fine-tuned four machine learning models and one deep neural network (DNN) leveraging scikit-learn and TensorFlow to forecast customer satisfaction ratings, achieving a peak model accuracy of 98%. Designed and deployed interactive Tableau dashboards, featuring a correlation heatmap to uncover key feature relationships and a lollipop chart to visualize satisfaction scores across top travel destinations. PROJECT EXPERIENCE

Texas Tech University Lubbock, Texas

Emotion Prediction in Music Aug 2024 - Dec 2024

Leveraged the DEAM dataset comprising 1,802 audio feature records and meticulously processed and transformed data using Excel, ensuring consistency and completeness for high-quality input. Executed in-depth exploratory data analysis with Tableau to visualize feature distributions and extract meaningful patterns. Constructed and optimized two machine learning models and one deep neural network using scikit-learn and TensorFlow, with the neural network attaining a peak classification accuracy of 98% in predicting emotion. Bellabeat’s Marketing Strategy Aug 2024 - Sep 2024 Executed Google’s 6-phase data analytics process—Ask, Prepare, Process, Analyze, Share, and Act—to evaluate and optimize user engagement with Bellabeat’s fitness tracking devices. Utilized SQL and Excel to analyze user behavior, identifying critical trends. Developed comprehensive reports and designed interactive dashboards in Power BI with the help of DAX queries, translating complex data into actionable insights to drive data-driven marketing strategies. SKILLS

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Technical and Non-

technical Skills

Python, SQL, R, Power BI, DAX, Excel, Google Sheets, MS Suite, Tableau, ETL, data visualization, data analytics, machine learning, AWS, PySpark, Pandas, TensorFlow, scikit-learn, data reporting, problem- solving, Strong communication and interpersonal skills. EDUCATION

Texas Tech University Lubbock, Texas

MS in Computer and Information Science, GPA: 3.9 Graduation Date: May 2025 CERTIFICATION

AWS Cloud Practitioner Essentials, Amazon, Mar 2025. Google Data Analytics Career Certificate, Google, Sep 2024.

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