Pravallika Garikapati
Software Engineer - Data & Analytics @Dhan AI
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WORK HISTORY
Software Engineer - Data & Analytics @Dhan AI
Assisted in collecting, cleaning, and preprocessing large datasets using Python (pandas, numpy) to support data-driven decision-making.• Develop and optimize features for a commercial client portal using Node.js and Python.• Build GraphQL API\'s for seamless data exchange across systems.• Created visualizations and dashboards (matplotlib/seaborn) to summarize trends and provide actionable insights to stakeholders.• Developed scripts to automate data extraction and transformation from multiple sources.• Collaborated with cross-functional teams to identify data requirements and support business analytics initiatives.• Debugged and optimized data pipelines, ensuring accuracy and reliability of analytical outputs.
EDUCATION
Rowan University
Master's degree, data science
VNR Vignana Jyothi Institute of Engineering and Technology (VNRVJIET)
Bachelor of Technology - BTech, Mechanical Engineering
ABOUT PRAVALLIKA GARIKAPATI
Aspiring Data Analyst | M.S. in Data Science | Python | SQL | Power BI | Tableau | Machine Learning | Data Visualization | Turning Data into InsightsI am a detail-oriented and data-driven professional with a strong foundation in Data Science (M.S.) and hands-on experience in data analytics, visualization, and machine learning. Currently working as a Software Engineer (Data & Analytics), I focus on collecting, transforming, and visualizing data to uncover trends and support data-driven decision-making across business domains.I’m passionate about exploring datasets, building impactful dashboards, and using analytical methods to tell meaningful stories through data. My background in software engineering enables me to bridge the gap between data analytics and technical implementation, ensuring efficiency, scalability, and accuracy in every project. Technical ExpertiseData Analytics & Visualization: Power BI, Tableau, Matplotlib, SeabornProgramming & Data Science: Python, Pandas, NumPy, scikit-learn, SQLMachine Learning: Regression, Classification, Feature Engineering, Model EvaluationData Engineering & Tools: Databricks, ETL Pipelines, Spark, Kafka, AWS, MongoDBSoftware Development: Flask, React.js, Spring Boot, REST APIs Key StrengthsTransforming raw data into meaningful, actionable insightsDeveloping automated pipelines and reports to improve analytics workflowsCreating visually engaging dashboards for performance tracking and decision supportApplying statistical and machine learning techniques for predictive insightsCollaborating cross-functionally to ensure data consistency and quality With a mix of strong analytical thinking and technical expertise, I aim to grow as a Data Analyst, leveraging data to improve decisions, uncover opportunities, and drive measurable business impact. Let’s ConnectI’m always open to discussing data analytics, visualization, and the power of data storytelling in shaping smarter strategies and innovation.
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