Data Analyst Machine Learning

Nikhil Reddy Thippana

Data Analyst

********************@*****.*** +1-609-***-**** Aurora, CO 80014 LinkedIn Profile

Seasoned Data Analyst with over 4 years of experience adept at harnessing data-driven insights to substantially enhance business performance and strategic decision-making. Exceptionally skilled in Python, R, SQL, and JavaScript, with a profound mastery of data cleansing, mining, and advanced modeling methodologies. Proficient in deploying Tableau, Power BI, and Excel to generate intricate data visualizations, and highly capable in applying sophisticated statistical techniques and machine learning algorithms for advanced predictive analytics. Demonstrated excellence in optimizing operational workflows and elevating customer satisfaction through meticulous data scrutiny, process automation, and rigorous data governance. Technical skills

Programming Languages: Python, R, SQL, JavaScript, C++, NoSQL, Shell, HTML, CSS Data Analysis: Data Cleaning, Data Mining, Data Wrangling, Data Profiling, Statistical Analysis, Data Modeling, Data Interpretation, Data Extraction, Data Mapping, Machine Learning

Visualization Tools: Tableau, Power BI, Microsoft Excel, Google Analytics, ggplot2, Seaborn Libraries: NumPy, Pandas, Matplotlib, SciPy, PySpark, SAS, Hadoop, Hive, Docker, Git, GitHub, CI/CD Database: MySQL, SQL Server (MS-SQL), Oracle Database, PostgreSQL, NoSQL, Redshift, Snowflake, Big Query, MongoDB, Spark SQL

Cloud Services: AWS (Redshift, EC2, S3), Google Cloud Analytics, Microsoft Azure (Synapse Analytics, Data Factory, Blob Storage, Database Migration), Azure DevOps

Methodologies: SDLC, Agile, Waterfall, Kanban,

Business Intelligence: BI Reporting, KPI Development, Dashboard Creation, Data Storytelling, Business Process Modeling, OLAP

(Online Analytical Processing), Financial Analysis, FRD (Functional Requirements Document), BRD (Business Requirements Document), SRS (Software Requirements Specification) Other Skills: Critical Thinking, Communication Skills, Presentation Skills, Problem-Solving, Analytical Thinking, Attention to Detail, Time Management, Team Collaboration, SAP ERP, ETL Professional Experience

Data Analyst, Deloitte May 2023 – present Remote, USA

•Conducted market analysis using Python (Pandas, NumPy, Scikit-learn) and SQL/MySQL to extract and analyze financial data, identifying key investment opportunities and risks for portfolio optimization.

•Deployed machine learning models, such as Linear Regression, Random Forest, and Time Series Analysis, to forecast stock prices, achieving a 20% improvement in accuracy and a 15% reduction in investment risk.

•Enhanced ETL processes and automated workflows with Apache Airflow and Snowflake, optimizing data pipelines for real-time financial data ingestion and processing, resulting in a 40% reduction in processing time and improved data accuracy.

•Developed interactive dashboards and reports using Tableau to visualize key financial metrics and market trends, providing stakeholders with actionable insights for data-driven decision-making.

•Conducted financial modeling and data analysis using Python libraries (Pandas, NumPy, Matplotlib) to identify trends, anomalies, and correlations in large datasets, enabling strategic decisions for investments and risk management

•Collaborated with finance and risk teams to deliver market forecasts and KPI reports, optimizing portfolio performance by 18% and enhancing market strategy through data insights.

•Leveraged AWS (S3, RDS) and Snowflake for secure, scalable data storage, optimizing SQL queries to improve data retrieval and reporting efficiency by 30%.

Data Analyst, MoneyGram Sep 2019 – Dec 2021

•Developed and implemented customer churn prediction models using Python and SQL, increasing prediction accuracy by 20% through advanced machine learning algorithms, which contributed to a 10% improvement in customer retention strategies.

•Analyzed customer behavior and transaction data by creating interactive Power BI dashboards, identifying 5 key churn indicators, which led to a 15% reduction in churn across targeted customer segments.

•Built and maintained ETL pipelines that processed 1TB+ of data monthly, efficiently extracting, transforming, and loading customer data from on-premise systems to Azure Data Lake, improving 30% data accessibility.

•Utilized Azure Machine Learning to train and deploy predictive models, achieving a 25% increase in model performance through hyperparameter tuning and cross-validation, resulting in improved customer targeting.

•Conducted statistical analysis and created data visualizations using Azure Synapse Analytics, presenting findings on churn drivers, contributing to a 10% increase in customer retention strategies’ effectiveness.

•Collaborated with cross-functional teams, integrating customer segmentation models into business processes, leading to $500K in annual revenue retention through improved decision-making. Education

Master Degree in Computer Science, Bridgeport University Jan 2022 – May 2023 Bridgeport, CT, USA Bachelor of technology in Computer Science, VelTech University Jul 2017 – May 2021 Chennai, India Certificates

AWS certified cloud practitioner Data Science Ethics - Coursera

Contact this candidate