Harshith Reddy Email & Phone Number

Fairfax, Va, Us

Boston, Massachusetts, Us

 Facilitated Agile processes, driving a 20% improvement in team collaboration during sprint planning, daily scrums, reviews, and retrospectives. Executed data cleaning, feature scaling, and engineering using Python’s pandas and NumPy, leading to a 30% increase in model accuracy through deep learning frameworks. Leveraged IDEs like Visual Studio Code and PyCharm, boosting coding efficiency by 25% and reducing development time by 15%. Developed interactive dashboards in Tableau and Power BI, cutting report generation time by 40% and enhancing data-driven decision-making. Migrated on-premises data to Azure Cloud, reducing data retrieval times by 40% and enhancing overall system scalability. Collaborated with the data team to build and deploy machine learning models, reducing customer churn by 18% and improving customer acquisition by 22% using Oracle and SQL.

 Conducted data pre-processing and feature engineering, applying data imputation techniques with Python, leading to a 25% reduction in model training errors. Optimized Python scripts to align training data with AWS Cloud Search, enhancing document classification accuracy by 30%. Analyzed SciPy for statistical analysis, doing a 20% increase in hypothesis testing efficiency and enabling advanced data insights. Industrialized Power BI visualizations, translating business requirements into interactive dashboards, plummeting reporting time by 50%. Implemented automated backup processes for MongoDB in Azure, achieving a 30% increase in data availability and disaster recovery readiness. Managed version control with Git and GitHub, streamlining collaboration and reducing code deployment errors by 25%.

Trivandrum, Kerala, In

 Processed and cleaned datasets containing over 25,000 records, improving data accuracy by 35%, and reducing processing errors by 20%. Developed SQL queries, reducing data retrieval time by 30% and enabling quicker decision-making for the marketing team. Created over 40 data-driven reports using Power BI, enhancing decision-making efficiency by 25% across the sales department. Automated repetitive data extraction and reporting tasks, saving the team 10 hours per week and improving productivity by 15%. Worked with a cross-functional team to analyze survey data, leading to a 20% improvement in customer satisfaction scores. Built interactive dashboards that provided real-time insights, reducing manual reporting by 50% and enabling faster response to business needs. Monitored key performance indicators (KPIs) and reported findings, contributing to a 10% increase in operational efficiency.