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Click here or scroll down to respond to this candidateCandidate's Name
PHONE NUMBER AVAILABLE EMAIL AVAILABLE LinkedInEDUCATIONUniversity of South Florida (USF) Tampa, FL Aug Street Address - May 2024 Masters in computer science. GPA 3.83Kakatiya Institute of Technology and Science (KITSW) Warangal, TG Aug 2018 - May 2022 Bachelor of Technology (Computer Science and Engineering) GPA 9.38 TECHNICAL SKILLS Programming: Python, SQL, PL/SQL, C, Java Database Tools: Hadoop, Apache Kafka, Apache Spark, Apache Airflow, Informatica, MongoDB, NoSQL, MySQL, Snowflakes Libraries and Frameworks: PyTorch, TensorFlow, Scikit-Learn, Hugging Face, Keras, OpenCV, Pandas, NumPy, Seaborn. AI/ML: Supervised and Unsupervised ML, Deep Learning, NLP, LLMs, Statistics Tools: AWS (lambda, S3, EC2), AWS Sage maker, Power BI, Tableau, Azure, GCP, Docker, Cloud Computing Others: SAS, Jira, Scrum, Test case designWORK EXPERIENCEData Engineer Intern Aakruthi Solutions, India Aug 2021 Jun 2022 Performed gap analysis with data sources acquiring 95% accuracy. Built data Pipelines, implemented code modularization involving package creation. Implemented optimization algorithms like gradient descent and simulated annealing to finetune model parameters and enhanced model performance to 89% Supported super users and business users on reports/dashboards to visualize audit progress, presenting insights on resource shortages to leadership. Implemented star and snowflake schemas, coordinating with offshore teams to mitigate production issues. Communicated with technical and non-technical audiences about data infrastructure and enhancements in data warehousing.Data Analyst and AIML Intern Ekasila educational Society, India Jan 2021 May 2021 Evaluated business requirements and processes through client interviews, feedback, and workflow analysis Improved data retrieval efficiency, reducing ETL job processing time by 70% through SQL query optimization and process improvement. Used knime to generate a master server/database listing. Leveraged Hadoop for data warehousing, Big Query for data partitioning and clustering, and Sqoop for data movement to optimize processes and cost efficiencies. Derived recommendations for software engineers from user feedback, reducing issue reports by 33%. Used Locality sensitive Hashing (LSH) for similarity search and duplicate detection improving user rating to 90%. Research Assistant KITSW CSE, India Aug 2020- Dec 2021 Involved in Customer Analysis Project, identifying potential customer groups through K-Means clustering. Utilized Power BI for effective data visualizations, conveying complex findings to stakeholders. Implemented an OCR and Python-based automation system, reducing document processing and data analysis time by 70%. ACADEMIC PROJECTSPrediction of Diabetes at early stages using ANN & Outlier Exposure As Lead for team of eight to develop a machine learning model for early diabetes detection. Conducted in-depth data analysis, implemented data preprocessing techniques, and built a PyTorch-based ANN model. Achieved a 2.7% accuracy improvement through rigorous testing and outlier detection. Dynamic Scheduling for Fog Computing Environments RNN, A3C, Edge cloud, Optimized DD Q-Learning based RL. Optimized cloud resource utilization by developing a client usage analysis system. Implemented load and stress testing to identify performance bottlenecks. Reduced cloud costs by 2.3% through strategic resource allocation. Automatic license plate detection using KNN. Built real-time recognition and character extraction from vehicle data, integrating Oracle and MySQL into HDFS via SQOOP. Explored automation opportunities to improve testing efficiency and achieving 89.4% efficiency in recognizing license plate numbers.CERTIFICATIONS AWS Certified Cloud Practitioner Link AWS Certified Developers Associate Link Database design and programming with SQL (ORACLE) Link CISCO Data Science Link |
