Data Analyst Machine Learning

Raveena Reddy Vemula

***************@*****.*** • 303-***-****

Driven Data Analyst with Expertise in Advanced Analytics, Automation, and Business Insights. An accomplished data analyst with a strong background in SQL, Python, R, Tableau, and Power BI. Experienced in building scalable pipelines, automating reporting workflows, and leveraging ETL processes with tools like Snowflake. I am known for delivering actionable insights through predictive modeling, NLP techniques, and interactive dashboards. Adept at uncovering trends, optimizing operations, and driving data-driven strategies that enhance efficiency and business growth.

SKILLS

Data Analysis: SQL, PL/SQL, MS SQL, Python, R, Machine Learning, Deep Learning, Predictive Analytics

ETL/BI: Snowflake, Data Pipelines

Data Visualization: Tableau, Power BI, Excel

Database Management: Jupyter Notebook, Matlab, Google Colab

Other Tools: Alteryx, HTML, Java, C++

Other: Operations Management, Cross-Functional Collaboration, Data Reporting, NLP

PROFESSIONAL EXPERIENCE

Reyes Holdings January 2025 - March 2025

Business Analyst

●Analyzed 500K+ operational events to identify margin-impacting risk factors, improving internal compliance tracking for high-risk behaviors.

●Designed predictive machine learning models (e.g., logistic regression, XGBoost, ARIMA) that achieved over 80% accuracy in forecasting driver risk and operational behaviors.

●Developed interactive dashboards and visualizations in Tableau, including bar charts, heatmaps, and geospatial maps, reducing manual reporting time by 30%.

●Assessed coaching impact on accident rates, finding that 22% of coached drivers continued to trigger violations, leading to enhanced training strategies using numpy, pandas.

●Conducted root cause analyses on coaching effectiveness, leading to improved internal escalation protocols and training refinement.

●Partnered with operations and compliance teams to refine control strategies, contributing to a 22% reduction in post-incident escalations.

●Delivered data-driven insights that optimized driver training programs, contributing to a 25% improvement in overall road safety compliance.

Capgemini June 2021 – August 2023

Data Analyst

●Built scalable text analytics pipelines at Capgemini, integrating NLP models that enhanced real-time monitoring of customer sentiment by 30%, driving actionable service improvements.

●Validated critical data components within ETL pipelines to maintain data integrity and enhance the accuracy of key performance reporting.

●Led development of Power BI dashboards for executive risk reviews and real-time margin analytics, reducing manual report generation by 40%.

●Designed dashboards to report budget variances, actuals vs forecast, and key operational metrics, enhancing transparency for finance leadership.

●Participated in regular RCA (root cause analysis) reviews to address recurring infrastructure issues and support disaster recovery planning.

●Assisted in generating performance and cost reports for client portfolios by extracting, cleaning, and validating financial datasets using SQL and Power BI.

●Worked with the DevOps and Engineering teams to stabilize infrastructure components, contributing to 24/7 operational monitoring workflows.

TCS iON September 2020 – October 2020

Data Analyst

●Completed the ‘Automate Detection of Different Emotions from Textual Comments and Feedback’ project successfully.

●Performed data collection, validation, and in-depth analysis to support operational performance metrics and continuous process improvements within enterprise-level organizations.

●Engineered and updated existing predictive models, ensuring continuous improvement in accuracy and robustness for auto data analytics.

●Developed a deep learning algorithm using CNN to detect different types of emotion contained in a collection of English sentences.

●Automated recurring analytics processes using Python libraries including scikit-learn, pandas, and NumPy to streamline data processing and model deployment.

●Leveraged advanced Python scripting for text analytics and NLP-driven insights, enabling real-time sentiment analysis and customer experience enhancement initiatives.

●Engineered and deployed emotion detection models using CNNs, achieving 90% accuracy on sentiment classification from customer feedback.

PROJECTS

Traffic Prediction for Intelligent Transportation System using Machine Learning March 2022 - June 2022

●Engineered a tool for accurate traffic flow estimation and schedule information using RNN.

●Boosted traffic prediction accuracy by 18% through advanced machine learning techniques.

●Slashed the margin of error in predicting traffic congestion by 25%, facilitating more efficient route planning for commuters.

Sign Language Recognition December 2021 - February 2022

●Constructed a PyTorch-based model recognizing various hand gestures.

●Established a dataset using OpenCV for capturing and preprocessing hand gesture images.

●Achieved a remarkable 92% accuracy in real-time gesture recognition, enhancing communication accessibility for individuals with hearing impairments.

House Prediction Model April 2020 - May 2020

●Attained a 93% score in a training program covering Introduction, Python, Data Exploration, Model Building, Evaluation Metric s, k-NN, Selecting the Right Model, Linear Regression, Logistic Regression, Decision Trees, Feature Engineering, Basics of Ensemble Models, Random Forest, and Clusterin g modules.

EDUCATION

DEPAUL UNIVERSITY Chicago, IL, USA

Master’s in Business Analytics

SREENIDHI INSTITUTE OF SCIENCE AND TECHNOLOGY Hyderabad, INDIA

Bachelor’s in Computer Science and Engineering

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