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PHONE NUMBER AVAILABLE EMAIL AVAILABLE Portfolio-website Dallas, TX.EDUCATIONMaster of Computer Science, (GPA: 4.0) Jan Street Address - May 2024 University of North Texas - Denton,Texas.Coursework: Big Data and Data Science, Machine Learning, Fundamentals of Database, Analysis of Computer Algo- rithms, Software Engineering, Information Retrieval, Computer Architecture, Computer Networks, Data Analytics. Bachelor of Technology - Computer Science, Jun 2018 - Aug 2022 St. Martins Engineering college - Hyderabad, India TECHNICAL SKILLSLanguages & Libraries : Python, SQL, R, Java, TensorFlow, Pandas, MatplotLib, Scikit-Learn, Numpy, PyTorch. Data Engineering: Hive, Apache Spark, Scala, HDFS, ETL development, Data Management Tools : Tableau, Power BI, Microsoft Excel, SQL Server, Linux, Git Hub, CI/CD, AWS, JIRA EXPERIENCETeaching Assistant, University of North Texas, Denton, TX Aug 2023 - May 2024 Assisted in the instruction of CSCE-4110 Data Structures and Algorithms, helping over 100 students improve their understanding of key concepts such as divide and conquer, problem-solving skills and dynamic programming. Summer AI Research, University of North Texas, Denton, TX May 2023 - Jul 2023 Implemented dimensionality reduction techniques by reducing data dimensions by 50% while maintaining 95% of the original information by generating neural receptive fields and visualizing them from the sensory data. Data Scientist, Onlane Solutions Pvt Ltd, Hyderabad, India Jan 2021 - Dec 2022 Worked as part of team to build predictive models to support various business functions, including fraud detection and customer segmentation. Utilized Python (scikit-learn, pandas, numpy) to develop and automate predictive modeling processes. Created and maintained scalable ML pipelines and wrote production-grade Python code. Intern, Value Labs, Hyderabad, India Mar 2022 - Jun 2022 Automated testing processes using the TestNG framework and Selenium, reducing manual testing efforts by 70%. PROJECTSBCG Data Science Job Simulation on Forage AI, Python, ML models, Data Analysis Jun 2024 Completed a customer churn analysis simulation, demonstrating advanced data analytics skills, identifying essential client data through requirements gathering and outlining a strategic approach. Conducted efficient data analysis and data transformation using Python. Employed data visualization techniques for trend interpretation. Completed the engineering and optimization of a random forest model, achieving an 85% accuracy rate in predicting customer churn. Completed a concise executive summary for the Associate Director. Prediction and Global Analysis of Mental Health Python, CNN, TensorFlow, Jupyter, Feb 2024 Developed a comprehensive predictive model for analyzing mental health indicators using deep learning neural networks CNNs achieving an accuracy of 92% by analyzing global trends in mental health. Integrated deep learning methodologies, providing insights into factors influencing mental health on a global scale with the usage of strong Python coding experience to preprocess and clean large datasets, ensuring data precision, efficiency, uniformity, and dependability for model training, resulting in a 50% reduction in data processing time. Forecasting customer buying products using big data and data science Nov 2023 Worked on analyzing and presenting the customer buying habits to enhance customer experience by recommenda- tion. Employed efficient ETL pipelines, storing datasets in Hadoop HDFS and using Hive for analysis, demonstrating distributed and large-scale data processing capabilities, harvesting power of the big data to grow digital sales. Used Pyspark for analytics and integrated Spark with HDFS, achieving a 25% improvement in query performance. Applied Random Forest for classification, resulting in a 15% increase in model accuracy. Med-Bot Python, Django, LLM, GenAI, GitHub, JSON Nov 2023 Built a chatbot using Django and Python that utilizes natural language processing with pretrained BERT (LLM), achieving a response accuracy of 90%. |
