Rakesh Ravula
Eden Prairie,MN
Summary
With more than 3.5 years of experience, the data analyst leverages data-driven insights to maximize operational efficiency and drive business choices. Proficiency with advanced analytics, data visualization, and statistical analysis with R, Python and SQL. skilled in converting complicated data into workable plans and having a track record of boosting data quality, streamlining corporate operations, and assisting in strategic decision-making. Excellent analytical abilities, attention to detail, and a dedication to providing useful insights in a timely manner are coupled in this fast-paced setting. Highly motivated and detailed-oriented candidate passionate about using data to improve business performance and customer experience. Skilled at leveraging data to develop actionable solutions to business challenges and utilizing data mining and data visualization to create meaningful insights. Excellent technical aptitude and knowledge of programming languages, data analytics and data visualization.
Overview
4
4
years of professional experience
1
1
Certification
Work History
Data Analyst Intern
Pike Electric
04.2024 - Current
- Analyze large datasets to uncover trends, patterns, and insights that drive business performance
- Perform deep-dive analysis to support business decisions, identify opportunities for optimization, and solve complex problems
- Use statistical techniques to forecast trends and provide recommendations based on data
- Create interactive and visually appealing dashboards and reports in Tableau to communicate data insights
- Generate ad-hoc and recurring reports to track key business metrics and performance indicators
- Collaborate with business stakeholders to define reporting requirements and deliver actionable insights
- Design and implement data models to support reporting, analytics, and business intelligence (BI) initiatives
- Develop relational and dimensional models to support data warehousing and reporting requirements
- Optimize data models for performance, scalability, and ease of use by other analysts and business users
- Extract, transform, and load (ETL) data from various sources using SQL
- Ensure data quality and integrity through validation, cleaning, and transformation processes
- Maintain and update databases, ensuring accurate and timely data availability for reporting.
- Conducted thorough data validation and cleanup, ensuring accuracy and reliability of datasets used for analysis.
- Utilized natural language processing techniques to analyze customer feedback, providing actionable insights for product improvement.
- Implemented new data warehousing solution that centralized information, improving data accessibility and security.
Data Analyst Engineer
Tata Consultancy Service
12.2020 - 06.2023
- Utilized SQL to extract data from various databases and sources
- Implemented ETL (Extract, Transform, Load) processes to clean, transform, and integrated data from different sources
- Applied statistical analysis using tools like Python or R to identify patterns, trends, and correlations in investment and financial data
- Developed predictive models using machine learning libraries such as scikit-learn, TensorFlow, or PyTorch to support investment decision-making
- Created interactive dashboards and visualizations using tools like Tableau, Power BI, or matplotlib/seaborn in Python
- Presented data-driven insights to stakeholders in a visually appealing and understandable manner
- Performed quantitative analysis using tools like Excel or specialized financial software to assess investment performance and risk
- Utilized investment portfolio management software to track and manage investment portfolios, analyze returns, and assess risk exposure
- Accessed and interpreted real-time market data feeds using financial data APIs to provide up-to-date insights for investment strategies
- Used version control systems like Git to track changes and collaborate with other analysts or developers on data analysis projects
- Worked with cloud platforms like AWS, Azure, or Google Cloud to store, process, and analyze large datasets
- Designed and maintained relational databases using tools like MySQL, NoSQL databases like MongoDB for efficient data storage, including PostgreSQL, Microsoft SQL Server, Snowflake, Pervasive, and DynamoDB
- Analyzed time series data related to stock prices, market indices, and economic indicators using specialized libraries in Python or R
- Used Python and its data science libraries (pandas, NumPy, SciPy) for data manipulation, analysis, and modeling.
- Developed and maintained data pipelines for seamless flow of information, ensuring timely availability for decision-making.
Software Engineer Intern
BHCL
05.2020 - 10.2020
- Conducted research on technologies, tools, or frameworks that could enhance the company's software development process
- Conducted code reviews and debugging activities to identify and resolve software defects and performance using python programming language
- Participated in testing activities to identify and resolve bugs and ensure software quality
- Assisted in writing and executing unit tests, integration tests, and performance tests to ensure software quality
- Worked with IoT devices and sensors, integrating software solutions with real-time data streams from the electrical systems
- Collaborated on the creation of prototypes and proof-of-concept projects that explore new ideas and technologies
- Analyzed technical problems and contributed to effective solutions with the guidance of senior developers.
- Worked with developers to identify and remove software bugs.
- Verified product success through collaborating with stakeholders and product owners and estimating accurate project deliverability timeframes.
Education
Master of Science -
Concordia University Saint Paul
Saint Paul12.2024
Bachelor of Science -
JNTU
Hyderabad11.2020
Skills
- C
- C#
- Python
- R
- Git
- Arduino
- Tableau
- MATLAB
- Power BI
- HTML
- Bootstrap
- React JS
- Node JS
- Express JS
- MySQL
- SQL
- Mongo DB
- Azure
- AWS
- Big Data Analytics
- Data Exports
- Predictive modeling
- Data Quality Assurance
- Data Mining
- Google Analytics
- NoSQL Databases
- ETL processes
- Apache Spark
- SQL and Databases
- Data and Analytics
- Data Modeling
- Database Management
- Data Warehousing
- Business Analysis
- Financial Data Analysis
- Business Intelligence Systems
- Data Mapping
- Operational Modelling
- ERP Software
Certification
- Certified for online course Artificial Intelligence authorized by the State University of New York offered through Coursera.
- Certified for online course Data Analysis with Python authorized by the IBM through Coursera.
- Certified for Machine learning online course from 'career edge - knockdown the lockdown by TCSION.'
Projects
Roadside Vegetation Detection through Dashcam, An efficient model developed for roadside vegetation detection using dashcam images. By leveraging the power of deep learning and fine-tuning the ResNet-50 model, we have achieved promising results in accurately segmenting vegetation from dynamic driving scenes. News Channel Commercial Detection, Our project focuses on implementing various machine learning models, including SVM (Support Vector Machine), for classification tasks and utilizing clustering algorithms, such as k-means, for data grouping. Through rigorous experimentation and evaluation, we have observed consistent performance improvements with SVM for classification, and nonlinear visualization techniques have proven effective for highlighting class separation. GPS and GSM based vehicle tracking and seat occupancy, Developed a model that provides security of vehicle by tracking the vehicle location using ARDUINO interfaced with GPS and GSM and tracking seat occupancy using limit switch sensor.
Timeline
Data Analyst Intern
Pike Electric
04.2024 - Current
Data Analyst Engineer
Tata Consultancy Service
12.2020 - 06.2023
Software Engineer Intern
BHCL
05.2020 - 10.2020
- Certified for online course Artificial Intelligence authorized by the State University of New York offered through Coursera.
- Certified for online course Data Analysis with Python authorized by the IBM through Coursera.
- Certified for Machine learning online course from 'career edge - knockdown the lockdown by TCSION.'
Master of Science -
Concordia University Saint Paul
Bachelor of Science -
JNTU
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