Machine Learning Power Bi

BHAVANI GORINTLA

****************@*****.*** California, United States

TECHNICAL SKILLS

Programming: Python, R, SQL, Shell Scripting, Java (Basic), C# Machine Learning & AI: scikit-learn, TensorFlow, PyTorch, XGBoost, MLflow, Hugging Face, NLP, Predictive Modeling, Feature Engineering, Model Deployment, Algorithm Optimization Data Visualization & BI: Tableau, Power BI, Looker, Matplotlib, Seaborn, Excel (Advanced), Google Data Studio

Databases & Cloud: MySQL, PostgreSQL, Oracle, Snowflake, Redshift, BigQuery, AWS, GCP, Azure Data Engineering Tools: Apache Spark, Airflow, Kafka, dbt, Hadoop, ETL/ELT Pipelines Statistical & Financial Tools: SPSS, SAS, Regression Analysis, Hypothesis Testing, Forecasting Models, Time-Series Analysis, MATLAB

Version Control & CI/CD: Git, GitHub, GitLab, Jenkins, Maven PROFESSIONAL SUMMARY

Detail-oriented and analytical Data Scientist and Machine Learning Specialist with over 5 years of experience in designing predictive models, optimizing data processes, and implementing automation solutions. Skilled at multitasking in fast-paced environments while maintaining attention to detail and process improvement. Adept at using statistical packages, coding, and programming languages to develop robust data models and datasets that drive intelligent applications and business growth. Strong communication and change management skills ensure smooth collaboration and implementation across cross-functional teams.

CORE COMPETENCIES

Communication Analytical Skills Time Management Strategic Vision Multitasking Data Science Data Analysis Predictive Modeling Statistical Analysis Data Models Data-Driven Insights Project Management Process Improvement Change Management Business Growth Research & Recommendations Attention to Detail Problem Solving PROFESSIONAL EXPERIENCE

Pan India Life Insurance Group — United States Senior Data Analyst (Dec 2024 – Current)

• Designed and implemented ML-driven financial forecasting models, improving revenue predictionaccuracy by 18%.

• Built real-time data pipelines and dashboards integrating ML insights in Tableau and Power BI,enhancing communication and decision-making.

• Automated workflows using Airflow and AWS Glue, improving time management and reducing manualoversight.

• Developed segmentation and classification models using large datasets, optimizing campaigntargeting by 15%.

• Implemented SAS-based data models and MATLAB simulations for process improvement andforecasting.

• Partnered with engineering teams to ensure scalability, system reliability, and adherence toinformation system protocols (HTTP APIs).

• Led change management initiatives integrating ML APIs into BI systems, reducing manual reportingtime by 30%.

• Collaborated with fast-paced cross-functional teams, maintaining high attention to detail in dataaccuracy and model validation.

FIFO Solutions — Visakhapatnam, India Business Analyst (Mar 2020 – Jun 2022)

• Built forecasting models with 92% accuracy to improve project planning and budgeting.

• Developed ETL pipelines using SQL, Python, and Airflow for enhanced dataset processing and dataquality.

• Used statistical packages like SPSS and SAS for performance evaluation and process optimization.

• Created Power BI dashboards for communication and analytical reporting to leadership teams.

• Managed multitasking workflows, ensuring process improvement and adherence to deadlines.

• Collaborated with developers using C# and other programming languages to enhance applicationreliability.

Global Experience Specialists — Hyderabad, India Data Analyst (Oct 2019 – Feb 2020)

• Applied supervised learning models (Logistic Regression, XGBoost) to analyze event engagement,improving forecast accuracy by 25%.

• Automated dataset ingestion and transformation using Python, SQL, and HTTP-based data pipelines.

• Conducted data modeling and coding for analytical applications integrating with internal informationsystems.

• Delivered analytical insights with strong attention to detail, enabling faster decision-making andproblem resolution.

PROJECTS

NYPD Crime Analysis & Prediction — AWS EMR / PySpark / Spark MLlib

• Built a scalable ETL and ML pipeline achieving 85% accuracy and automated retraining via AWSLambda and QuickSight.

Football Match Outcome Prediction — Python / scikit-learn / XGBoost

• Developed and deployed a real-time predictive API using Flask and Docker for live match prediction. EDUCATION

Master of Science in Computer Science — Westcliff University, Irvine, CA (Aug 2022 – Oct 2024) CERTIFICATIONS

• AWS Cloud Practitioner

• SPSS Data Analytics

ADDITIONAL SKILLS

Time Management Statistical Packages SAS Programming Languages (C#, MATLAB, Python) Process Improvement Problem Solving Multitasking Information Systems HTTP Fast-Paced Environments Detail-Oriented Datasets & Data Models Communication Coding Change Management Attention to Detail Application Development Analytical Skills

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