Adithya Sri Sai Vignesh Manda

Data Analyst

Pritna

Hyderbad

09.2020 - 10.2022

Analyzed large datasets to identify trends, patterns and correlations for business insights.
Developed dashboards with Tableau to monitor key performance indicators.
Provided data-driven solutions to support decision making.
Leveraged SQL queries to extract, transform and load data into databases.
Designed automated ETL processes for efficient data extraction, transformation and loading in order to improve accuracy and reliability of reporting systems.
Optimized existing database structures for better performance on analytics tasks.
Created predictive models to forecast customer behavior.
Gathered requirements from stakeholders to design data models and reports.
Translated raw data into meaningful information using statistical techniques.
Conducted exploratory analysis of complex datasets using Python libraries such as NumPy and Pandas.
Implemented machine learning algorithms like Linear Regression, Logistic Regression and Random Forest for classification and prediction purposes.
Collaborated with stakeholders across the organization to understand their needs from a data perspective.
Maintained documentation of all the processes related to Data Analysis.
Performed quality assurance testing on newly developed reporting solutions.
Automated manual reporting processes by developing scripts in Python or R.
Developed scorecards that accurately measured success metrics.
Defined KPIs based on collected data sources.
Integrated external APIs with internal systems for improved analytics capabilities.
Built visualizations that enabled users to quickly interpret results from complex analyses.
Utilized advanced analytics tools such as SAS, SPSS, Excel PowerPivot, to manipulate large volumes of structured and unstructured data sets.
Generated reports and obtained data to develop analytics on key performance and operational metrics.
Worked with internal teams to understand business needs and changing strategies.
Conducted data analysis to prepare forecasts and identify trends.
Provided supporting information to substantiate research findings.
Assisted with efforts to track, evaluate and report on impact of programs using multiple data sources.
Audited initial datasets to confirm validity of imported data, corroborating changes against updates in data tapes.