Data Analyst Machine Learning

Gurukalyan Kothuru

Data Analyst

United States

989-***-****

*************@*****.***

https://www.linkedin.com/in/gurukalyan-kothuru/

Summary

Strategic Data Analyst with 4+ years of transformative experience in leveraging advanced analytical methodologies to drive critical business decisions. Proven expert in converting complex datasets into compelling business insights using cutting-edge data science techniques, including machine learning algorithms and predictive modeling. Consistently delivers data-driven solutions that optimize organizational performance, enhance operational efficiency, and uncover innovative growth opportunities across financial services and technology sectors. Skills

• Programming Languages: Python, R, SQL, DAX, VBA, Julia

• Data Analysis Frameworks: Pandas, NumPy, SciPy, Scikit-learn, TensorFlow, Keras

• Statistical Analysis: Advanced Hypothesis Testing, Regression Analysis, Time Series Analysis, Bayesian Inference

• Machine Learning: Predictive Modeling, Clustering, Classification, Ensemble Methods, Deep Learning

• Data Visualization: Tableau, Power BI, matplotlib, Seaborn, Plotly, D3.js, Looker Studio

• Big Data Technologies: Apache Spark, Hadoop, Hive, Apache Airflow, Databricks

• Cloud Platforms: AWS (Redshift, QuickSight), Google BigQuery, Azure Synapse Analytics, Snowflake

• Database Management: MySQL, PostgreSQL, MongoDB, Microsoft SQL Server, Oracle, Cassandra

• Business Intelligence: Power BI Premium, Tableau Desktop, Qlik Sense, SAS

• ETL & Data Pipeline Tools: Apache Airflow, Informatica, Microsoft SSIS, Talend

• Advanced Excel: Power Pivot, Power Query, VBA Macros, Advanced Formulas

• Reporting & Analytics: Google Analytics, Adobe Analytics, Alteryx, RapidMiner

• Version Control & Collaboration: Git, GitHub, Jupyter Notebooks

• Statistical Software: SPSS, SAS, STATA, R Studio Experience

Data Analyst BNY Mellon - USA SEP 2023 – PRESENT

• Architected advanced predictive analytics infrastructure using Python, TensorFlow, and scikit-learn, developing sophisticated machine learning models that enhanced financial forecasting accuracy by 40% and provided unprecedented insights into market trends and risk assessment

• Engineered comprehensive data warehousing solution utilizing AWS Redshift, Apache Airflow, and Databricks, implementing complex ETL processes that consolidated 15+ disparate data sources, reducing data integration time by 60% and improving overall data accessibility

• Conducted deep-dive statistical analyses on complex financial datasets using advanced econometric techniques, identifying critical business insights that directly contributed to $3.2M in potential cost optimizations and strategic resource allocation

• Developed interactive, enterprise-grade Tableau and Power BI dashboards with advanced calculated fields and complex DAX measures, creating dynamic visualization solutions that transformed intricate financial data into clear, actionable insights for C-level executives

• Implemented cutting-edge data cleaning and preprocessing techniques using Pandas, NumPy, and advanced statistical methods, establishing robust data quality frameworks that reduced reporting inconsistencies by 45% and enhanced overall data reliability

• Designed and deployed automated reporting systems using Python scripting and SQL stored procedures, dramatically reducing manual reporting efforts by 70% and significantly improving operational efficiency and data processing speed

• Performed sophisticated financial risk analysis using advanced statistical modeling, Monte Carlo simulations, and machine learning algorithms, providing critical predictive insights for strategic business planning and risk mitigation

• Collaborated across cross-functional teams to integrate machine learning models into existing business intelligence platforms, developing advanced predictive capabilities that enhanced decision-making processes and strategic foresight

• Conducted comprehensive A/B testing and experimental design analyses, leveraging statistical techniques to validate business hypotheses and optimize key performance indicators across multiple business units

• Developed custom Python libraries and data analysis toolkits to standardize advanced analytical processes, improving team productivity and ensuring consistent, high-quality analytical methodologies Data Analyst DataOne - INDIA JAN 2020 – JUL 2022

• Pioneered business intelligence solutions using Power BI, Tableau, and advanced data visualization techniques, creating 25+ interactive, multi- dimensional dashboards that provided real-time, comprehensive insights across diverse business units

• Executed sophisticated market research and competitive analysis utilizing advanced statistical methodologies, machine learning clustering techniques, and predictive modeling to identify emerging market opportunities and optimize product strategies

• Developed complex, optimized SQL queries and advanced data pipelines using Apache Spark and Airflow, implementing robust ETL processes that improved data extraction, transformation, and loading efficiency by 50%

• Constructed advanced predictive models using scikit-learn, TensorFlow, and ensemble machine learning techniques, enhancing customer segmentation accuracy by 35% and developing highly precise predictive algorithms

• Implemented comprehensive A/B testing frameworks and statistical hypothesis testing methodologies, providing data-driven validation for critical business strategies and marketing initiatives

• Created advanced Excel reporting solutions with sophisticated VBA scripting and Power Query transformations, automating complex data analysis tasks and reducing reporting preparation time by 65%

• Leveraged Google Analytics, Adobe Analytics, and advanced web analytics tools to derive deep insights on user behavior, optimizing digital marketing strategies and improving conversion rates by 25%

• Developed and implemented robust data governance frameworks, ensuring data quality, consistency, and compliance with stringent organizational and regulatory standards

• Designed and maintained complex data models and relational databases, utilizing advanced normalization techniques and performance optimization strategies

• Conducted advanced statistical analyses using R and Python, applying complex statistical methods to extract meaningful insights from large- scale, multidimensional datasets

Education

Master of Science in Information Systems Central Michigan University, USA Bachelor of Technology in Electronics Communication Engineering SRM Institute of Science and Technology, Kattanklathur, INDIA

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