Data Scientist & Machine Learning Enthusiast
📞 +1 667-379-3711 📧 Lokesh.katuri26@gmail.com 🌐 LinkedIn 🚀 GitHub
Master of Data Science
University of Maryland, Baltimore County
📚 January 2022 - December 2023
🎓 Cumulative GPA: 4.0/4.0
📊 Relevant Coursework: Statistics, Data Analysis, Big-Data Architecture, Machine Learning, Deep Learning, Natural Language Processing
Bachelor of Engineering in Computer Science
Lovely Professional University, Punjab, India
📚 August 2014 - May 2018
🎓 Cumulative GPA: 3.8/4.0
💻 Relevant Coursework: C, C++, Java, Database Management System, Software Engineering Methodology, Data Structures and Algorithms
Tenable Inc., Columbia, MD
📅 June 2023 - Present
📊 Conducted in-depth analysis, cohort analysis, funnel analysis, and segmentation using Amplitude to identify patterns, trends, and user pain points.
🚀 Led a cross-functional project to integrate product data with external market data sources for deeper market trend analysis.
🔗 Collaborated with the engineering team to integrate Amplitude analytics and Snowflake data warehouse.
Digital Factory Inc., Chicago, IL
📅 March 2023 - May 2023
📈 Analyzed web traffic and user behavior using tools like Google Analytics.
📊 Developed predictive analytics models and recommender systems resulting in a 20% increase in customer retention.
TCS- Automation and AI, Chennai, India
📅 December 2018 - December 2021
🔍 Conducted exploratory data analysis and feature engineering on large datasets.
📈 Developed machine learning models with over 90% prediction accuracy on customer churn and 80% on pricing optimization.
⚙️ Designed and implemented data pipelines using Hadoop and Spark, reducing data processing time by 50%.
📊 Created and maintained dashboards and reports using Tableau.
📊 Conducted A/B testing and statistical analysis.
🛠️ Built and maintained CI/CD pipelines.
📅 December 2022
🔍 Achieved 96% accuracy on VGG16 for face mask detection using transfer learning.
🚀 Built a real-time mask detection system using OpenCV.
📅 May 2022
🔍 Extracted and analyzed 10K tweets using Python and Twitter API.
📈 Achieved an 85% accuracy in sentiment analysis.
📊 Visualized results using Word Cloud and Bar Charts.
- Programming Languages: C, C++, Python (Advanced), Java (Intermediate), SQL (Advanced), Bash, HTML, CSS, JavaScript (Intermediate), Golang (Beginner)
- Machine Learning Libraries: sci-kit-learn, TensorFlow, Keras, PyTorch, SparkML
- Web Development Frameworks: React, Vue.js, D3.js, Flask, Streamlit, Django
- Databases: MySQL, PostgreSQL, MongoDB, Cassandra, SQLite, Oracle Database, Microsoft SQL Server
- Tools: Jira, Tableau, Power BI, Jenkins, Git, Terraform, Docker, Kubernetes, Grafana, Prometheus, Spark, Hive, Hadoop, Kafka
- Cloud Platforms: AWS, Google Cloud Platform
Feel free to reach out for collaboration or to discuss exciting data science opportunities!