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Machine Learning Power Bi

Location:
Houston, TX
Posted:
July 13, 2025

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Resume:

Thejesh Reddy Marripati

+1-832-***-**** Houston,TX ****************@*****.*** LinkedIn GitHub

Summary

Data-driven professional with expertise in Python, SQL, Tableau,and Power BI for actionable insights and reporting. Experienced in building and deploying machine learning and deep learning models for predictive analytics. Strong analytical mindset with a passion for solving complex business problems through data. Education

University of Houston Houston, TX

Master of Science in Engineering Data Science (GPA: 3.66) Aug 2023 – May 2025 New Horizon College of Engineering Bengaluru, India Bachelor of Engineering in Computer Science and Engineering Jul 2019 – May 2023 Experience

Data Analyst Intern May 2021 – Dec 2022

DealShare Bengaluru, India

• Refined Power BI dashboards to track lead times using DAX and Power Query, cost efficiencies, and operational KPIs; improved decision-making process by 20% while improving overall cost efficiency by 15%.

• Performed ad hoc data analysis using SQL and data quality investigations to identify inefficiencies, resulting in a 20% reduction in operational delays and improved resource allocation

• Built automated ETL pipelines for IoT sensor data by scheduling hourly CSV exports from LabVIEW, uploading 100+ files daily to Azure Blob Storage, transforming data into jsonb format with timestamps, and ingesting over 10M data points into Azure PostgreSQL for efficient storage and querying.

• Formulated machine learning models(XGBoost, KNN, SVR, Logistic Regression, Neural Networks) to forecast reactor performance and key metrics with 96% accuracy, reducing system downtime by 35% Analyst Jan 2023 – May 2023

KPIT Bengaluru, India

• Handled and preprocessed large-scale datasets using Python (Pandas, NumPy) and SQL, enabling efficient data pipelines and model readiness.

• Built and fine-tuned machine learning and deep learning models using (scikit-learn and TensorFlow)to predict equipment failures and optimize operational efficiency.

• Developed interactive Tableau dashboards to visualize KPIs, anomaly detection results, and model predictions, significantly improving business decision-making across product teams.

• Reduced data processing and model training time by 35% by optimizing feature engineering and leveraging batch processing.

• Collaborated with data scientists and domain experts to implement LSTM models for time series forecasting in automotive diagnostics

Projects

Context-Aware Question Answering System using LLMs Hugging Face,Flask,Colab May 2024 – Jul 2024

• Fine-tuned BERT Base and BIDAF models on the SQuAD v2.0 dataset for building a QA system

• BERT model outperformed BIDAF by leveraging its transformer-based architecture for achieving an Exact Match (EM) score of 60% and an F1 score of 64%

• Deployed the fine-tuned BERT model as interactive web application using Flask, enabling real-time question-answering Advanced Facial Recognition System and Bias Mitigation using CNN Python Jan 2025 – Mar 2025

• Developed a CNN-based facial recognition model using architectures such as ResNet,MobileNet, and EfficientNet

• Fine-tuned models for improved face detection and verification accuracy and Integrated Vision Transformers(ViTs) and Siamese Networks to enhance facial feature extraction and matching

• Involved contrastive learning and triplet loss functions for identify verifications Exploring Rise of AI,ML Across Sectors Tableau, Python Jan 2024 – Apr 2024

• Spearheaded Tableau dashboards to visualize AI,ML trends, using advanced features such as calculated fields, parameters, and interactive filters, highlighting key insights into Skill Development and Economic Growth Technical Skills

Programming Languages: Python,SQL

Data Extraction & ETL: PySpark,Apache Airflow,AWS Glue Data Preprocessing & Visualization: NumPy,Pandas,OpenCV,spaCy,Seaborn,Matplotlib,Tableau, PowerBI Machine Learning & Deep learning: Scikit-learn,TensorFlow (with Keras),PyTorch,Hugging Fae Transformers Cloud/Deployement Tools: AWS,Flask,Google Colab,Git/GitHub,Streamlit Certifications

Microsoft certified PowerBI, Microscoft Azure, Datascience Tools, Advanced SQL



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